CN103187750A - Megawatt battery energy storage power station real-time power control method and system thereof - Google Patents
- ️Wed Jul 03 2013
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Publication number
- CN103187750A CN103187750A CN2011104599047A CN201110459904A CN103187750A CN 103187750 A CN103187750 A CN 103187750A CN 2011104599047 A CN2011104599047 A CN 2011104599047A CN 201110459904 A CN201110459904 A CN 201110459904A CN 103187750 A CN103187750 A CN 103187750A Authority
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- battery energy
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- 238000004146 energy storage Methods 0.000 title claims abstract description 443
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000003745 diagnosis Methods 0.000 claims abstract description 13
- 238000012937 correction Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 9
- 238000013523 data management Methods 0.000 claims abstract description 5
- 238000013500 data storage Methods 0.000 claims abstract description 5
- 230000001174 ascending effect Effects 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 abstract description 63
- 229910001416 lithium ion Inorganic materials 0.000 abstract description 63
- 238000007726 management method Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 5
- 229910052744 lithium Inorganic materials 0.000 description 4
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 3
- BNOODXBBXFZASF-UHFFFAOYSA-N [Na].[S] Chemical compound [Na].[S] BNOODXBBXFZASF-UHFFFAOYSA-N 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 150000001875 compounds Chemical class 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000001052 transient effect Effects 0.000 description 2
- 239000005955 Ferric phosphate Substances 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229940032958 ferric phosphate Drugs 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- WBJZTOZJJYAKHQ-UHFFFAOYSA-K iron(3+) phosphate Chemical compound [Fe+3].[O-]P([O-])([O-])=O WBJZTOZJJYAKHQ-UHFFFAOYSA-K 0.000 description 1
- 229910000399 iron(III) phosphate Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 229910052720 vanadium Inorganic materials 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J15/00—Systems for storing electric energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
本发明涉及一种兆瓦级电池储能电站实时功率控制方法及其系统，该方法包括A)实时读取电池储能电站的总功率需求和该电站的相关运行数据，并对上述总功率需求和运行数据进行存储和管理；B)获得电池储能电站中各电池储能子单元的初始功率命令值；C)对各电池储能子单元的初始功率命令值进行实时诊断和修正，以确定待分配给各电池储能子单元的功率命令值；D)对各电池储能子单元的功率命令值汇总后输出至电池储能电站，以实现对电池储能电站的实时功率控制。该系统包括通讯模块、数据存储与管理模块、总功率初始分配控制模块和实时调节模块。本发明的方法与系统通可方便、有效的实现对兆瓦级锂离子电池储能电站实时功率的控制和分配目的。
The present invention relates to a real-time power control method and system for a megawatt-level battery energy storage power station. and operating data for storage and management; B) obtain the initial power command value of each battery energy storage subunit in the battery energy storage power station; C) perform real-time diagnosis and correction on the initial power command value of each battery energy storage subunit to determine The power command value to be assigned to each battery energy storage subunit; D) The power command value of each battery energy storage subunit is summarized and output to the battery energy storage power station to realize real-time power control of the battery energy storage power station. The system includes a communication module, a data storage and management module, a total power initial distribution control module and a real-time adjustment module. The method and system of the invention can conveniently and effectively realize the purpose of real-time power control and distribution of the megawatt-level lithium-ion battery energy storage power station.
Description
Technical field
The invention belongs to the storage of intelligent grid and energy and switch technology field, be specifically related to a kind of realtime power control method and system thereof of rule-based high-power big capacity MW class battery energy storage power station, be particularly useful for the power of battery and the battery energy management method of MW class battery energy storage power station in the extensive honourable storing cogeneration system.
Background technology
Country's defeated demonstration project of scene storage is that State Grid Corporation of China builds the first batch of pilot project of strong intelligent grid, be target with " electrical network friendly type " generation of electricity by new energy, being characteristics with " advance, flexibility, exemplary, economy ", is the renewable energy comprehensive demonstration project of worldwide largest, collection wind-powered electricity generation, photovoltaic generation, energy storage and power transmission engineering quaternity at present.Wherein, the defeated demonstration project (first phase) of country's scene storage is planned to build and is established wind-powered electricity generation 100MW, photovoltaic generation 40MW and energy storage device 20MW (comprising 14MW ferric phosphate lithium cell energy-storage system, 2MW all-vanadium flow battery energy-storage system, 4MW sodium-sulphur battery energy-storage system).
Continuous development along with lithium ion battery and integrated technology thereof, use the lithium battery energy-accumulating power station and go to realize multiple application such as level and smooth honourable power output, tracking plan generating, participation system frequency modulation, peak load shifting, the meritorious emergency response of exerting oneself of transient state, the urgent support of transient voltage, become a kind of feasible program.Wherein one of key issue is to grasp extensive lithium battery energy-accumulating power station Comprehensive Control Technology.
From the angle of battery energy storage, excessive charging and excessive discharge all can impact the life-span of battery.Therefore, monitored battery charge state, in the good overall power requirement of the inner reasonable distribution of energy-accumulating power station, and be necessary within the specific limits with the state-of-charge control of battery.
At present the patent of relevant gross power control aspect in real time based on megawatt-grade high-power high capacity lithium ion battery energy-accumulating power station, document, technical report etc. are considerably less, the core technology that needs further investigation and explore extensive battery energy storage power station Comprehensive Control and be incorporated into the power networks solves the key issue that extensive battery energy storage power station is coordinated control and energy management.
Summary of the invention
At the problems referred to above, one of purpose of the present invention is to provide a kind of realtime power control method of easy to operate, the MW class battery energy storage power station that is easy to realize, and this method can satisfy the real-time monitoring requirement of real-time overall power requirement and the high capacity cell energy-accumulating power station stored energy of energy-accumulating power station simultaneously.
Control method of the present invention is achieved by the following technical solution:
A kind of MW class battery energy storage power station realtime power control method may further comprise the steps:
Steps A reads the overall power requirement of battery energy storage power station and the relevant service data in this power station in real time, and above-mentioned overall power requirement and service data are stored and managed;
Step B judges the state of battery energy storage power station according to the battery energy storage power station overall power requirement, and obtains the initial power bid value of each battery energy storage subelement in the battery energy storage power station by corresponding preset rules;
Step C carries out real-time diagnosis and correction to the initial power bid value of each battery energy storage subelement, to determine power command value of giving each battery energy storage subelement to be allocated;
Step D treats exporting battery energy storage power station to after the power command value of distributing to each battery energy storage subelement gathers, to realize that each battery energy storage subelement is carried out power division and to the realtime power control of battery energy storage power station.
Wherein, the relevant service data of described battery energy storage power station comprises: the controllable state value of each battery energy storage subelement, state-of-charge value, maximum discharge power, maximum charge power and the rated power of allowing of allowing in the battery energy storage power station.
Wherein, described step B comprises the steps:
Judge the state of battery energy storage power station;
When the battery energy storage power station overall power requirement be on the occasion of the time, represent that this battery energy storage power station will be in discharge condition, then obtain the initial power bid value of each battery energy storage subelement by first preset rules;
When the battery energy storage power station overall power requirement is negative value, represent that this battery energy storage power station will be in charged state, then obtain the initial power bid value of each battery energy storage subelement by second preset rules;
When the battery energy storage power station overall power requirement is zero, represent that this battery energy storage power station will be in zero power phase, then directly the power command value of all battery energy storage subelements is set to zero.
Wherein, described first preset rules comprises:
1) overall power requirement when battery energy storage power station accounts for the maximum ratio value of discharge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station more than or equal to preset value
The time, then the initial power bid value of each battery energy storage subelement is aforementioned proportion value and the maximum product that allows discharge power of corresponding controlled battery energy storage subelement;
2) overall power requirement when battery energy storage power station accounts for the maximum ratio value of discharge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station greater than preset value
And less than
The time, then the initial power bid value of each battery energy storage subelement is that the state-of-charge value of corresponding controlled battery energy storage subelement accounts for the ratio value of current all controlled battery energy storage subelement state-of-charge value summations, multiply by the battery energy storage power station overall power requirement again;
3) overall power requirement when battery energy storage power station accounts for the maximum ratio value of discharge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to preset value
The time,
At first, calculate the current available maximum discharge power characteristic value of each battery energy storage subelement;
Then, the order ascending according to maximum discharge power characteristic value sorts to each battery energy storage subelement, accounts for the maximum ratio value of discharge power summations that allows of current all the controlled battery energy storage subelements of this energy-accumulating power station more than or equal to preset value with battery energy storage power station current total power demand
Be condition, adopt exclusive method to calculate the minimum number battery energy storage subelement that meets above-mentioned condition;
At last, the initial power bid value of above-mentioned minimum number battery energy storage subelement is that the state-of-charge value of corresponding controlled battery energy storage subelement accounts for the ratio value of the controlled battery energy storage subelement of current minimum number state-of-charge value summation, multiply by battery energy storage power station current total power demand again; The initial power bid value of all the other battery energy storage subelements all is made as 0.
Described second preset rules comprises:
1) when the overall power requirement of battery energy storage power station
Account for the maximum ratio value of charge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station more than or equal to preset value
The time, then the initial power bid value of each battery energy storage subelement is aforementioned proportion value and the maximum product that allows charge power of corresponding controlled battery energy storage subelement;
2) overall power requirement when battery energy storage power station accounts for the maximum ratio value of charge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station greater than preset value
And less than
The time, then the initial power bid value of each battery energy storage subelement is that the discharge condition value of corresponding controlled battery energy storage subelement accounts for the ratio value of each controlled battery energy storage subelement discharge condition value summation, multiply by battery energy storage power station current total power demand again;
3) overall power requirement when battery energy storage power station accounts for the maximum ratio value of charge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to preset value
The time,
At first, calculate the current available maximum charge power features value of each battery energy storage subelement;
Then, the order ascending according to maximum charge power features value sorts to each battery energy storage subelement, accounts for the maximum ratio value of discharge power summation that allows of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to preset value with battery energy storage power station current total power demand
Be condition, adopt exclusive method to calculate the minimum number battery energy storage subelement that meets above-mentioned condition;
At last, the initial power bid value of above-mentioned minimum number battery energy storage subelement is that the discharge condition value of corresponding controlled battery energy storage subelement accounts for the ratio value of the controlled battery energy storage subelement of current minimum number discharge condition value summation, multiply by battery energy storage power station current total power demand again; The initial power bid value of all the other battery energy storage subelements all is made as 0;
In the above-mentioned steps, described controlled battery energy storage subelement maximum allows to put, the charge power summation is for the maximum of each controlled battery energy storage subelement allows to put, the charge power sum, controlled battery energy storage subelement is charged, discharge condition value summation is each controlled battery energy storage subelement charged, discharge condition value sum.The maximum discharge power that allows of described controlled battery energy storage subelement is controllable state value and its maximum product that allows discharge power of battery energy storage subelement, the state-of-charge value of controlled battery energy storage subelement is the product of controllable state value and its state-of-charge value of battery energy storage subelement, the maximum charge power that allows of controlled battery energy storage subelement is controllable state value and its maximum product that allows charge power of battery energy storage subelement, and the discharge condition value of controlled battery energy storage subelement is the product of controllable state value and its discharge condition value of battery energy storage subelement.Discharge condition value (SOD:State of Discharge) equals 1 and deducts its state-of-charge value (SOC:State of Charge).
Wherein, when the battery energy storage subelement was controlled, the controllable state value of this subelement was 1; Otherwise value is 0.
Wherein, described
With
Span be 0.7～0.9, described
With
Span be 0.2～0.4, described
With
Span be 0.7～0.9.
Wherein, described step C comprises the steps:
The initial power bid value of each battery energy storage subelement that step B is calculated carries out real-time diagnosis, seeing if there is the situation of violating each battery energy storage subelement maximum permission discharge power and the restriction of maximum permission charge power takes place, if have, then each battery energy storage subelement is carried out online correction and calculating again; As do not have, then the initial power bid value of the battery energy storage subelement that calculates of step B is set to its power command value.
Wherein, described online correction and again Calculation Method comprise the steps:
When the battery energy storage power station overall power requirement be on the occasion of the time, when if the initial power bid value of arbitrary battery energy storage subelement taking place violating the maximum situation that allows discharge power limit value (being that the initial power bid value of arbitrary battery energy storage subelement is greater than the maximum discharge power that allows of this subelement) of this subelement, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing discharge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement allows discharge power to account for the maximum ratio value that allows the discharge power summation of each controlled battery energy storage subelement of current remainder for remaining each controlled battery energy storage subelement is maximum, multiply by battery energy storage power station current total power demand and the maximum difference that allows the discharge power summation of each the battery energy storage subelement that satisfies above-mentioned situation again.
When the battery energy storage power station overall power requirement is negative value, when if the initial power bid value of arbitrary battery energy storage subelement taking place violating its maximum situation that allows charge power limit value (being that the absolute value of arbitrary battery energy storage subelement initial power bid value is greater than the maximum absolute value that allows charge power of this subelement), then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing charge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement allows charge power to account for the remaining maximum ratio value that allows the charge power summations of all controlled battery energy storage subelements for each remaining controlled battery energy storage subelement is maximum, multiply by battery energy storage power station current total power demand and the maximum difference that allows the charge power summation of each the battery energy storage subelement that satisfies above-mentioned situation again.
Another object of the present invention is to propose a kind of MW class battery energy storage power station realtime power control system, this system comprises:
Communication module, be used for reading in real time the real-time overall power requirement of battery energy storage power station and the relevant service data in power station, and export the power command value of each battery energy storage subelement to battery energy storage power station, realize each the battery energy storage subelement in the battery energy storage power station is carried out power division;
Data storage and management module is used for storage and manages real-time overall power requirement and relevant service data, and the power command value of each battery energy storage subelement that real-time adjustment module is returned reaches communication module after gathering and exports;
Gross power original allocation control module is used for judging the state that battery energy storage power station will be in according to the battery energy storage power station overall power requirement, and calculates the initial power bid value of each battery energy storage subelement by corresponding preset rules; With
Adjustment module is used for the initial power bid value of each battery energy storage subelement is carried out real-time diagnosis and correction, to determine the power command value of each battery energy storage subelement in real time.
Compared with prior art, the beneficial effect that reaches of the present invention is:
The invention provides a kind of MW class battery (lithium battery or sodium-sulphur battery) energy-accumulating power station realtime power control method and system thereof has easy to operate, be easy to advantages such as realization and grasp in actual applications, this method and system mainly is in conjunction with the permission charging and discharging capabilities that can represent battery energy storage subelement realtime power characteristic (namely, the maximum discharge power that allows of each battery energy storage subelement, the maximum charge power etc. that allows of each battery energy storage subelement) and can represent the state-of-charge SOC of battery energy storage subelement stored energy characteristic, based on given judgment standard the overall power requirement value of battery energy storage power station is carried out online distribution, when having realized real-time distribution battery energy storage power station overall power requirement, also realized being incorporated into the power networks with the energy management of MW class battery energy storage power station and control in real time.
Description of drawings
Fig. 1 is the system schematic of MW class lithium ion battery energy-accumulating power station embodiment;
Fig. 2 is the structural representation that MW class lithium ion battery energy-accumulating power station realtime power distributes control system embodiment;
Fig. 3 is the structural representation of gross power original allocation control module embodiment;
Fig. 4 is the structural representation of real-time adjustment module embodiment;
Fig. 5 is the FB(flow block) of MW class lithium ion battery energy-accumulating power station realtime power control method embodiment.
Embodiment
Control method of the present invention and system can be applied to lithium ion battery energy-accumulating power station or sodium-sulphur battery energy-accumulating power station, are example with the lithium ion battery below, by reference to the accompanying drawings control method of the present invention and system are described in further detail.
As shown in Figure 1, comprise two way convertor and a plurality of lithium ion battery energy storage subelement in the lithium ion battery energy-accumulating power station, can carry out by two way convertor power instruction etc. is controlled and discharged and recharged in the start and stop of lithium ion battery energy storage subelement.
Fig. 2 shows the structured flowchart that lithium ion battery energy-accumulating power station realtime power distributes control system embodiment.As shown in Figure 2, this routine control system is to realize by communication module 10, data storage and management module 20, gross power original
allocation control module30 and the real-
time adjustment module40 that is arranged in the remote server.Communication module 10 in this control system is connected by wired or wireless network with battery energy storage power station, finish between this control system and the lithium ion battery energy-accumulating power station data interaction with communicate by letter, each lithium ion battery energy storage subelement carries out power division in the battery energy storage power station thereby be embodied as, and battery energy storage power station is carried out realtime power monitor, wherein
Communication module 10 is used for receiving the real-time overall power requirement value of lithium ion battery energy-accumulating power station and the relevant service data in this power station, and exports the power command value of each lithium ion battery energy storage subelement of giving to be allocated to battery energy storage power station.
Data storage and management module 20, the real-time overall power requirement value and relevant service data (these data can comprise real time data and historical data) that are used for storage and manage the lithium ion battery energy-accumulating power station; And each lithium ion battery energy storage subelement power command value of being responsible for calculating gathers and assignment is given relevant interface variables, calls by communication module for remote server.
Gross power original
allocation control module30 is used for determining in real time each lithium ion battery energy storage subelement initial power bid value.
40 is used for calculating and definite power command value of giving each lithium ion battery energy storage subelement to be allocated in real time.
As shown in Figure 3, described gross power original allocation control module comprises:
Judge module, be used for judging according to battery energy storage power station current total power demand the state of battery energy storage power station: when battery energy storage power station current total power demand on the occasion of the time, represent that this battery energy storage power station will be in discharge condition, then calculate the initial power bid value of each battery energy storage subelement by first Executive Module; When battery energy storage power station current total power demand is negative value, represent that this battery energy storage power station will be in charged state, then calculate the initial power bid value of each battery energy storage subelement by second Executive Module; When the current total power requirements of battery energy storage power station is zero, represent that this battery energy storage power station will be in zero power phase, the power command value of each battery energy storage unit then directly is set by the 3rd Executive Module;
First Executive Module is used for calculating the initial power bid value of each battery energy storage subelement when battery energy storage power station will be in discharge condition;
Second Executive Module is used for calculating the initial power bid value of each battery energy storage subelement when battery energy storage power station will be in charged state; With
The 3rd Executive Module is zero for the power command value that all battery energy storage subelements directly are set.
Wherein, described first Executive Module comprises:
First carries out subelement I, be used for when lithium ion battery energy-accumulating power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled lithium ion battery energy storage subelement of this energy-accumulating power station more than or equal to
The time, calculate the initial power bid value of each lithium ion battery energy storage subelement;
First carries out subelement II, be used for when lithium ion battery energy-accumulating power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station greater than
And less than
The time, calculate the initial power bid value of each lithium ion battery energy storage subelement; With
First carries out subelement III, be used for when lithium ion battery energy-accumulating power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to
The time,
At first, calculate the current available maximum discharge power characteristic value of each lithium ion battery energy storage subelement;
Then, according to the ascending order of maximum discharge power characteristic value to each battery energy storage subelement ordering, with battery energy storage power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to
Be condition, adopt exclusive method to calculate minimum number battery energy storage subelement;
At last, recomputate the initial power bid value of minimum number lithium ion battery energy storage subelement, the initial power bid value of all the other battery energy storage subelements all is made as 0;
Described second Executive Module comprises:
Second carries out subelement I, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to The time, calculate the initial power bid value of each battery energy storage subelement;
Second carries out subelement II, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station greater than
And less than
The time, calculate the initial power bid value of each battery energy storage subelement; With
Second carries out subelement III, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to The time,
At first, calculate the current available maximum charge power features value of each battery energy storage subelement;
Then, according to the ascending order of maximum charge power features value to each battery energy storage subelement ordering, with battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to
Be condition, adopt exclusive method to calculate minimum number battery energy storage subelement;
At last, recomputate the initial power bid value of minimum number battery energy storage subelement, the initial power bid value of all the other battery energy storage subelements all is made as 0.
As shown in Figure 4, described real-time adjustment module comprises:
The real-time diagnosis unit is used for the initial power bid value of each lithium ion battery energy storage subelement is carried out real-time diagnosis, sees if there is to violate each battery energy storage subelement maximum permission discharge power and the maximum situation generation that allows the charge power restriction; With
Computing unit is used for the diagnostic result according to the real-time diagnosis unit, carries out online correction and calculates or the initial power bid value of direct respective battery energy storage subelement is set to its power command value again.
Wherein, described computing unit comprises:
First computation subunit, the lithium ion battery energy-accumulating power station will be used for when will be in discharge condition, if the initial command value that arbitrary lithium ion battery energy storage subelement takes place is during greater than its maximum situation that allows discharge power, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing discharge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement recomputates;
Second computation subunit, the lithium ion battery energy-accumulating power station will be used for when will be in charged state, when if the initial command value of arbitrary lithium ion battery energy storage subelement taking place violating its maximum situation that allows charge power restriction, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing charge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement recomputates; With
The 3rd computation subunit, being used for directly, the initial power bid value of corresponding lithium ion battery energy storage subelement is set to its power command value.
Fig. 5 shows rule-based MW class lithium ion battery energy-accumulating power station realtime power control method block diagram in this example.Below in conjunction with concrete implementation step, each rule and execution mode thereof are elaborated, this method comprises the steps:
Steps A, to read data by communication module 10 be to read lithium ion battery energy-accumulating power station overall power requirement value that host computer issues and the relevant service data of lithium ion battery energy-accumulating power station, then above-mentioned overall power requirement value and relevant service data reached data storage and management module 20 and store and manage.
Step B, based on gross power original allocation control module, calculate each lithium ion battery energy storage subelement initial power bid value in the energy-accumulating power station in real time.
Step C, based on real-time adjustment module, after each lithium ion battery energy storage subelement initial power bid value carried out real-time diagnosis and revise, to determine power command value of giving each battery energy storage subelement to be allocated;
Step D, power command value of giving each lithium ion battery energy storage subelement to be allocated that step C is calculated export the lithium ion battery energy-accumulating power station to by communication module after data storage and management module gathers.
In steps A, communication module 10 is except reading the overall power requirement of lithium ion battery energy-accumulating power station in real time
The relevant service data of the battery energy storage power station that reads outward, comprises: the controllable state value of each battery energy storage subelement, state-of-charge value, maximum discharge power, maximum charge power and the rated power of allowing of allowing in the battery energy storage power station.
In step B, the computational methods of described each battery energy storage subelement initial power bid value are as follows:
Judge the state of current lithium ion battery energy-accumulating power station earlier, and then calculate the initial power bid value of each lithium ion battery energy storage subelement according to the state of each lithium ion battery energy storage subelement respectively based on corresponding preset rules:
1) when lithium ion battery energy-accumulating power station overall power requirement
For on the occasion of the time, represent that this energy-accumulating power station will be in discharge condition, then based on the state-of-charge (SOC) of each battery energy storage subelement value and the maximum discharge power value that allows, calculate the initial power bid value of each battery energy storage subelement by following formula (1)-(8)
2.1 regular A:
When satisfying following formula (1), shown in (2), calculate the initial power bid value of each battery energy storage subelement:
2.2 regular B:
When satisfying following formula (3), shown in (4), calculate the initial power bid value of each lithium ion battery energy storage subelement:
2.3 regular C:
When satisfying following formula (5), at first, calculate the minimum energy storage subelement number that can satisfy formula (7) based on exclusive method
And compound mode.That is, calculate the current available maximum discharge power characteristic value of each lithium ion battery energy storage subelement i earlier based on following formula (6)
Then, based on exclusive method, with
To big order, get rid of lithium ion battery energy storage subelement i one by one, up to calculating the minimum energy storage subelement number that can satisfy following formula (7) by little
Till.
At last, based on following formula (8), calculate
The initial power bid value of individual lithium ion battery energy storage subelement i:
Residue The initial power bid value of individual lithium ion battery energy storage subelement all is made as 0.
2) when lithium ion battery energy-accumulating power station overall power requirement
During for negative value, represent that this battery energy storage power station will be in charged state, then based on discharge condition (SOD) value and the maximum charge power value that allows of each battery energy storage subelement, calculate each battery energy storage subelement initial power bid value by following formula (9)-(17)
2.4 regular D:
When satisfying following formula (9), shown in (10), calculate the initial power bid value of each battery energy storage subelement:
2.5 regular E:
When satisfying formula (11), as shown in the formula (12)-(13), calculate the initial power bid value of each lithium ion battery energy storage subelement:
SOD i＝1-SOC i (13)
2.6 regular F:
When satisfying following formula (14), calculate the minimum energy storage subelement number that can satisfy following formula (16) based on exclusive method
And compound mode.That is, calculate the current available maximum charge power features value of each lithium ion battery energy storage subelement i earlier based on following formula (15)
Then, based on exclusive method, with
To big order, get rid of lithium ion battery energy storage subelement i one by one, up to the energy storage subelement that calculates the minimum number that can satisfy following formula (16) by little
Till.
Then, based on following formula (17), calculate
The initial power bid value of individual lithium ion battery energy storage subelement i:
Residue
The initial power bid value of individual lithium ion battery energy storage subelement all is made as 0.
3) when battery energy storage power station current total power requirements
When being zero, represent that this battery energy storage power station will be in zero power phase, need not calculate the initial power bid value of battery energy storage subelement by preset rules, but directly the power command value of all battery energy storage subelements is set to 0.
In formula (1)-(17), u iBe the controllable state value of i battery energy storage subelement, this state reads by steps A, and when this battery energy storage subelement was controlled, this state value was 1, and other values are 0; SOC iState-of-charge value for i battery energy storage subelement; SOD iDischarge condition value for i battery energy storage subelement; L is total number of lithium ion battery energy storage subelement,
With
Be the minimum battery energy storage subelement number that satisfies condition;
Rated power for i lithium ion battery energy storage subelement;
Maximum permission discharge power for i lithium ion battery energy storage subelement;
Maximum permission charge power for i lithium ion battery energy storage subelement.
Above-mentioned various in,
In the time of will being in discharge condition for energy-accumulating power station, energy-accumulating power station current total power demand accounts for the maximum ratio that allows the discharge power summation of the current controlled energy storage subelement of energy-accumulating power station;
In the time of will being in charged state for energy-accumulating power station, energy-accumulating power station current total power demand accounts for the maximum ratio that allows the charge power summation of the current controlled energy storage subelement of energy-accumulating power station.
In above-mentioned every rule,
1)
With
Span can be set at 0.7 to 0.9.With
For good,
2)
With
Span can be set at 0.2 to 0.4.With
For good,
3)
With
Span can be set at 0.7 to 0.9.With
For good.
In step C, adjustment module is revised the initial power bid value of each battery energy storage subelement in real time by following method in real time:
1) when lithium ion battery energy-accumulating power station overall power requirement For on the occasion of the time, represent that this battery energy storage power station will be in discharge condition, then determine each battery energy storage subelement power command value based on following formula (18)-(20):
3.1 Regulation G:
Initial power bid value as any one battery energy storage subelement i
When satisfying following formula (18), calculate corresponding number N, and with the power command value P of corresponding subelement i iAll limit as shown in the formula (19).
Then, based on following formula (20), recomputate the power command value P of the individual lithium ion battery energy storage of remainder (L-N) subelement j:
2) when lithium ion battery energy-accumulating power station overall power requirement
During for negative value, represent that this battery energy storage power station will be in charged state, then determine each battery energy storage subelement power command value based on following formula (21)-(23):
3.2 regular H:
Initial power bid value as any one battery energy storage subelement i
When satisfying following formula (21), calculate corresponding number M, and with the power command value P of corresponding subelement i iAll limit as shown in the formula (22).
Then, based on following formula (23), recomputate the power command value P of the individual lithium ion battery energy storage of remainder (L-M) subelement j:
Formula (18)-(23), L is total number of lithium ion battery energy storage subelement, N and M are respectively the number of part lithium ion battery energy storage subelement.
Adopt technique scheme, the present invention has the overall power requirement of online distribution lithium ion battery energy-accumulating power station, real-time function such as monitoring SOC value, thus accurate, convenient, the effective realization controlled and to the power dividing function of each lithium ion battery energy storage subelement in the energy-accumulating power station the realtime power of lithium ion battery energy-accumulating power station.
If just directly calculate the power command value of each battery energy storage subelement in the battery energy storage power station according to battery energy storage power station overall power requirement and each battery energy storage subelement state-of-charge value (SOC), battery energy storage subelement power command value then may occur allows to fill above it, the situation of discharge power (degree of depth) high-low limit, when this overrun condition occurring, carry out self adaptation correction and online processing as untimely, can exceed Operational capability of plant and cause distributing power error to become big to each battery energy storage subelement because issuing the power command value, and existence be difficult to satisfy the drawback of battery energy storage power station overall power requirement; Just because the present invention has increased steps such as " by judging the state of battery energy storage power station earlier; calculate the initial power bid value of each battery energy storage subelement in the battery energy storage power station more respectively by corresponding preset rules; effective consideration of while can represent that the permission charging and discharging capabilities constraints (namely; the maximum discharge power that allows of each battery energy storage subelement; constraintss such as the maximum permission of each battery energy storage subelement charge power) of battery energy storage subelement realtime power characteristic is to control algolithm and system ", so not only overcome above-mentioned drawback, also the effect that each the battery energy storage subelement in the battery energy storage power station has been produced better online distribution and monitored in real time is more convenient for using and realizing.
Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; in conjunction with above-described embodiment the present invention is had been described in detail; those of ordinary skill in the field are to be understood that: those skilled in the art still can make amendment or are equal to replacement the specific embodiment of the present invention, but these modifications or change are all among the claim protection range that application is awaited the reply.
Claims (12)
1. a MW class battery energy storage power station realtime power control method is characterized in that, may further comprise the steps:
Steps A reads the overall power requirement of battery energy storage power station and the relevant service data in this power station in real time, and above-mentioned overall power requirement is stored with relevant service data;
Step B judges the state of battery energy storage power station according to the battery energy storage power station overall power requirement, and obtains the initial power bid value of each battery energy storage subelement in the battery energy storage power station by corresponding preset rules;
Step C carries out real-time diagnosis and correction to the initial power bid value of each battery energy storage subelement, to determine the power command value of each battery energy storage subelement;
Step D exports battery energy storage power station to after the power command value of each battery energy storage subelement gathered.
2. control method as claimed in claim 1, it is characterized in that, in steps A, the relevant service data of described battery energy storage power station comprises: the controllable state value of each battery energy storage subelement, state-of-charge value, maximum discharge power, maximum charge power and the rated power of allowing of allowing in the battery energy storage power station.
3. control method as claimed in claim 1 is characterized in that, described step B specifically comprises:
Judge the state of battery energy storage power station;
When the battery energy storage power station overall power requirement be on the occasion of the time, represent that this battery energy storage power station will be in discharge condition, then obtain the initial power bid value of each battery energy storage subelement by first preset rules;
When the battery energy storage power station overall power requirement is negative value, represent that this battery energy storage power station will be in charged state, then obtain the initial power bid value of each battery energy storage subelement by second preset rules;
When the battery energy storage power station overall power requirement is zero, represent that this battery energy storage power station will be in zero power phase, then directly the power command value of all battery energy storage subelements is set to zero.
4. control method as claimed in claim 3 is characterized in that,
Described first preset rules comprises:
1) overall power requirement when battery energy storage power station accounts for the maximum ratio value of discharge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station more than or equal to preset value
The time, then the initial power bid value of each battery energy storage subelement is aforementioned proportion value and the maximum product that allows discharge power of corresponding controlled battery energy storage subelement;
2) overall power requirement when battery energy storage power station accounts for the maximum ratio value of discharge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station greater than preset value
And less than
The time, then the initial power bid value of each battery energy storage subelement is that the state-of-charge value of corresponding controlled battery energy storage subelement accounts for the ratio value of current all controlled battery energy storage subelement state-of-charge value summations, multiply by the battery energy storage power station overall power requirement again;
3) overall power requirement when battery energy storage power station accounts for the maximum ratio value of discharge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to preset value The time,
At first, calculate the current available maximum discharge power characteristic value of each battery energy storage subelement;
Then, the order ascending according to maximum discharge power characteristic value sorts to each battery energy storage subelement, accounts for the maximum ratio value of discharge power summations that allows of current all the controlled battery energy storage subelements of this energy-accumulating power station more than or equal to preset value with battery energy storage power station current total power demand
Be condition, adopt exclusive method to calculate the minimum number battery energy storage subelement that meets above-mentioned condition;
At last, the initial power bid value of above-mentioned minimum number battery energy storage subelement is that the state-of-charge value of corresponding controlled battery energy storage subelement accounts for the ratio value of the controlled battery energy storage subelement of current minimum number state-of-charge value summation, multiply by battery energy storage power station current total power demand again; The initial power bid value of all the other battery energy storage subelements all is made as 0.
Described second preset rules comprises:
1) when the overall power requirement of battery energy storage power station
Account for the maximum ratio value of charge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station more than or equal to preset value
The time, then the initial power bid value of each battery energy storage subelement is aforementioned proportion value and the maximum product that allows charge power of corresponding controlled battery energy storage subelement;
2) overall power requirement when battery energy storage power station accounts for the maximum ratio value of charge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station greater than preset value
And less than The time, then the initial power bid value of each battery energy storage subelement is that the discharge condition value of corresponding controlled battery energy storage subelement accounts for the ratio value of each controlled battery energy storage subelement discharge condition value summation, multiply by battery energy storage power station current total power demand again;
3) overall power requirement when battery energy storage power station accounts for the maximum ratio value of charge power summation that allows of each controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to preset value
The time,
At first, calculate the current available maximum charge power features value of each battery energy storage subelement;
Then, the order ascending according to maximum charge power features value sorts to each battery energy storage subelement, accounts for the maximum ratio value of discharge power summation that allows of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to preset value with battery energy storage power station current total power demand
Be condition, adopt exclusive method to calculate the minimum number battery energy storage subelement that meets above-mentioned condition;
At last, the initial power bid value of above-mentioned minimum number battery energy storage subelement is that the discharge condition value of corresponding controlled battery energy storage subelement accounts for the ratio value of the controlled battery energy storage subelement of current minimum number discharge condition value summation, multiply by battery energy storage power station current total power demand again; The initial power bid value of all the other battery energy storage subelements all is made as 0;
The discharge condition value of described battery energy storage subelement equals the 1 state-of-charge value that deducts this subelement; Maximum discharge power, the maximum controllable state value that allows charge power, controlled battery energy storage subelement state-of-charge value and controlled battery energy storage subelement discharge condition value to equal the battery energy storage subelement of controlled battery energy storage subelement of allowing of described controlled battery energy storage subelement allows discharge power, the maximum product that allows charge power, state-of-charge value and discharge condition value with this subelement maximum respectively; When the battery energy storage subelement was controlled, the controllable state value of this subelement was 1; Otherwise value is 0.
5. control method as claimed in claim 4 is characterized in that, and is described
With
Span be 0.7～0.9, described
With Span be 0.2～0.4, described
With
Span be 0.7～0.9.
6. control method as claimed in claim 1 is characterized in that, described step C specifically comprises:
The initial power bid value of each battery energy storage subelement that step B is calculated carries out real-time diagnosis, seeing if there is the situation of violating each battery energy storage subelement maximum permission discharge power and the restriction of maximum permission charge power takes place, if have, then each battery energy storage subelement is carried out online correction and calculating again; As do not have, then the initial power bid value of each battery energy storage subelement of calculating of step B is set to its power command value.
7. control method as claimed in claim 6 is characterized in that, described online correction and again Calculation Method specifically comprise:
When the battery energy storage power station overall power requirement be on the occasion of the time, when if the initial power bid value of arbitrary battery energy storage subelement taking place violating the maximum situation that allows discharge power of this subelement, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing discharge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement allows discharge power to account for the maximum ratio value that allows the discharge power summation of all controlled battery energy storage subelements of current remainder for remaining controlled battery energy storage subelement is maximum, multiply by battery energy storage power station current total power demand and the maximum difference that allows the discharge power summation of each the battery energy storage subelement that satisfies above-mentioned situation again.
When the battery energy storage power station overall power requirement is negative value, when if the initial power bid value of arbitrary battery energy storage subelement taking place violating the maximum situation that allows the charge power limit value of this subelement, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing charge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement allows charge power to account for the maximum ratio value that allows the charge power summation of remaining all controlled battery energy storage subelements for remaining controlled battery energy storage subelement is maximum, multiply by battery energy storage power station current total power demand and the maximum difference that allows the charge power summation of each the battery energy storage subelement that satisfies above-mentioned situation again.
8. MW class battery energy storage power station realtime power control system is characterized in that this system comprises:
Communication module is used for reading the real-time overall power requirement of battery energy storage power station and the relevant service data in this power station in real time, and exports the power command value of each battery energy storage subelement to battery energy storage power station;
Data storage and management module is used for storage and manages real-time overall power requirement and relevant service data, and the power command value of each battery energy storage subelement that real-time adjustment module is returned reaches communication module after gathering and exports;
Gross power original allocation control module is used for judging the state that battery energy storage power station will be in according to the battery energy storage power station overall power requirement, and calculates the initial power bid value of each battery energy storage subelement by corresponding preset rules; With
Adjustment module is used for the initial power bid value of each battery energy storage subelement is carried out real-time diagnosis and correction, to determine the power command value of each battery energy storage subelement in real time.
9. control system as claimed in claim 8 is characterized in that, described gross power original allocation control module comprises:
Judge module, be used for to judge the state of battery energy storage power station: when battery energy storage power station current total power demand be on the occasion of the time, represent that this battery energy storage power station will be in discharge condition, then calculate the initial power bid value of each battery energy storage subelement by first Executive Module; When battery energy storage power station current total power demand is negative value, represent that this battery energy storage power station will be in charged state, then calculate the initial power bid value of each battery energy storage subelement by second Executive Module; When the current total power requirements of battery energy storage power station is zero, represent that this battery energy storage power station will be in zero power phase, the power command value of each battery energy storage unit then directly is set by the 3rd Executive Module;
First Executive Module is used for calculating the initial power bid value of each battery energy storage subelement when battery energy storage power station will be in discharge condition;
Second Executive Module is used for calculating the initial power bid value of each battery energy storage subelement when battery energy storage power station will be in charged state; With
The 3rd Executive Module is used for the power command value of all battery energy storage subelements directly is set to zero.
10. control system as claimed in claim 9 is characterized in that, described first Executive Module comprises:
First carries out subelement I, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to
The time, calculate the initial power bid value of each battery energy storage subelement;
First carries out subelement II, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station greater than
And less than
The time, calculate the initial power bid value of each battery energy storage subelement; With
First carries out subelement III, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to
The time,
At first, calculate the current available maximum discharge power characteristic value of each battery energy storage subelement;
Then, according to the ascending order of maximum discharge power characteristic value to each battery energy storage subelement ordering, with battery energy storage power station current total power demand account for the maximum ratio value that allows the discharge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to
Be condition, adopt exclusive method to calculate minimum number battery energy storage subelement;
At last, recomputate the initial power bid value of minimum number battery energy storage subelement, the initial power bid value of all the other battery energy storage subelements all is made as 0;
Described second Executive Module comprises:
Second carries out subelement I, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to
The time, calculate the initial power bid value of each battery energy storage subelement;
Second carries out subelement II, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station greater than And less than
The time, calculate the initial power bid value of each battery energy storage subelement; With
Second carries out subelement III, be used for when battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station smaller or equal to
The time,
At first, calculate the current available maximum charge power features value of each battery energy storage subelement;
Then, according to the ascending order of maximum charge power features value to each battery energy storage subelement ordering, with battery energy storage power station current total power demand account for the maximum ratio value that allows the charge power summation of current each the controlled battery energy storage subelement of this energy-accumulating power station more than or equal to Be condition, adopt exclusive method to calculate minimum number battery energy storage subelement;
At last, recomputate the initial power bid value of minimum number battery energy storage subelement, the initial power bid value of all the other battery energy storage subelements all is made as 0.
11. control system as claimed in claim 8 is characterized in that, described real-time adjustment module comprises:
The real-time diagnosis unit is used for the initial power bid value of each battery energy storage subelement is carried out real-time diagnosis, sees if there is to violate each battery energy storage subelement maximum permission discharge power and the maximum situation generation that allows the charge power restriction; With
Computing unit is used for the diagnostic result according to the real-time diagnosis unit, carries out online correction and calculates or the initial power bid value of direct respective battery energy storage subelement is set to its power command value again.
12. control system as claimed in claim 11 is characterized in that, described computing unit comprises:
First computation subunit, battery energy storage power station will be used for when will be in discharge condition, if the initial command value that arbitrary battery energy storage subelement takes place is during greater than its maximum situation that allows discharge power, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing discharge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement recomputates;
Second computation subunit, battery energy storage power station will be used for when will be in charged state, when if the initial command value of arbitrary battery energy storage subelement taking place violating its maximum situation that allows charge power restriction, then search the battery energy storage subelement number that satisfies above-mentioned situation, and allowing charge power to be set at its power command value the maximum of these battery energy storage subelements, the power command value of remaining each battery energy storage subelement recomputates; With
The 3rd computation subunit, the initial power bid value that is used for respective battery energy storage subelement is set to its power command value.
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Cited By (12)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103532132A (en) * | 2013-09-23 | 2014-01-22 | 国家电网公司 | Control method of self-adaptive mobile microgrid energy interaction system |
| CN104348177A (en) * | 2014-11-17 | 2015-02-11 | 北京四方继保自动化股份有限公司 | Multi-direct current branch power coordinated control method based on back-to-back type energy storage converter |
| CN104753076A (en) * | 2013-12-31 | 2015-07-01 | 比亚迪股份有限公司 | Battery energy storage system for peak load shifting and control method thereof |
| CN105870973A (en) * | 2016-06-16 | 2016-08-17 | 东北电力大学 | Capacity allocation method of energy storage system to meet frequency modulation demand of high-wind-power-permeability system |
| CN108336766A (en) * | 2018-02-13 | 2018-07-27 | 中国电力科学研究院有限公司 | A kind of energy-storage system multiple agent cooperative control method and device |
| CN109910669A (en) * | 2019-04-29 | 2019-06-21 | 恒大智慧充电科技有限公司 | Charge regulation method, computer equipment and storage medium |
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Citations (3)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102157985A (en) * | 2011-04-20 | 2011-08-17 | 中国电力科学研究院 | Battery power control method for types of high-capacity megawatt battery energy storage power stations |
| CN102208818A (en) * | 2011-06-03 | 2011-10-05 | 中国电力科学研究院 | Wavelet-filtering-based output smoothing control method for megawatt wind/solar/battery power generation system |
| CN102214934A (en) * | 2011-06-03 | 2011-10-12 | 中国电力科学研究院 | Smooth wind-optical generated output control method based on megawatt-grade battery energy-storage power station |
Family Cites Families (4)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4969229B2 (en) * | 2006-12-18 | 2012-07-04 | 三菱重工業株式会社 | Power storage device and hybrid distributed power supply system |
| CN101710711B (en) * | 2009-12-21 | 2013-03-27 | 中国电力科学研究院 | Monitoring system for energy storing device for output power of smooth wind power system |
| KR101116430B1 (en) * | 2010-06-07 | 2012-02-27 | 삼성에스디아이 주식회사 | Energy Storage System |
| CN102280879B (en) * | 2011-08-01 | 2013-12-18 | 沈阳融华新能源电气有限公司 | Method and system for regulating power of large-scale energy storage power station of wind farm |
-
2011
- 2011-12-31 CN CN201110459904.7A patent/CN103187750B/en active Active
-
2012
- 2012-09-17 WO PCT/CN2012/081485 patent/WO2013097489A1/en active Application Filing
Patent Citations (3)
* Cited by examiner, † Cited by third party| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102157985A (en) * | 2011-04-20 | 2011-08-17 | 中国电力科学研究院 | Battery power control method for types of high-capacity megawatt battery energy storage power stations |
| CN102208818A (en) * | 2011-06-03 | 2011-10-05 | 中国电力科学研究院 | Wavelet-filtering-based output smoothing control method for megawatt wind/solar/battery power generation system |
| CN102214934A (en) * | 2011-06-03 | 2011-10-12 | 中国电力科学研究院 | Smooth wind-optical generated output control method based on megawatt-grade battery energy-storage power station |
Non-Patent Citations (2)
* Cited by examiner, † Cited by third party| Title |
|---|
| MAOHUA SHAN等: "Research on the Control Strategy of the Battery Energy Storage System in Wind-Solar-Battery Hybrid Generation Station", 《2010 3RD INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND INTELLIGENT TRANSPORTATION SYSTEM》 * |
| 史正军等: "MW级电池储能站在电网中的应用", 《科技风》 * |
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| EP4525251A1 (en) * | 2023-09-13 | 2025-03-19 | Delta Electronics, Inc. | Energy storage system and control method thereof |
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