CN118889572A - A photoelectric storage and charging microgrid energy management system and method - Google Patents

The invention relates to the technical field of micro-grid management, in particular to an energy management system and method for an optical storage and charging micro-grid. According to the invention, the angle and the operating frequency of the photovoltaic panel are adjusted in real time, photovoltaic power generation is more efficient in an unstable sunlight environment, the utilization rate of solar resources is greatly improved, the charge and discharge period of the energy storage device is intelligently adjusted to match real-time sunlight change and energy demand, an energy storage system is effectively utilized, energy waste is reduced, supply and demand are balanced, real-time load management optimizes electric energy distribution, a power grid is dynamically adjusted to respond to load change, and energy consumption of non-critical loads is reduced.

一种光储充微电网能源管理系统及方法A photoelectric storage and charging microgrid energy management system and method

技术领域Technical Field

本发明涉及微电网管理技术领域，尤其涉及一种光储充微电网能源管理系统及方法。The present invention relates to the technical field of microgrid management, and in particular to a photovoltaic storage and charging microgrid energy management system and method.

背景技术Background Art

微电网管理技术领域涉及对局部电网（微电网）的设计、监控和优化操作，电网可以在断开和连通主电网的状态下独立运行，该技术包括能源产生（如太阳能光伏）、能源存储（如电池储能系统）和能源消费的协调，微电网管理的核心目的是提高能源利用效率，保障能源供应的可靠性，减少环境影响，并提升系统对外部干扰的韧性，领域内的技术进步还包括实时数据监控、预测能源需求、自动调节能源流和维护电网稳定的先进算法和控制策略。The field of microgrid management technology involves the design, monitoring and optimization of local power grids (microgrids). The power grid can operate independently when disconnected and connected to the main power grid. The technology includes the coordination of energy generation (such as solar photovoltaics), energy storage (such as battery energy storage systems) and energy consumption. The core purpose of microgrid management is to improve energy utilization efficiency, ensure the reliability of energy supply, reduce environmental impact, and enhance the system's resilience to external interference. Technological advances in the field also include advanced algorithms and control strategies for real-time data monitoring, forecasting energy demand, automatic adjustment of energy flow and maintenance of grid stability.

其中，光储充微电网能源管理系统是一种结合了太阳能发电、电能储存和电能充电管理的综合系统。该系统主要用于微电网中，通过智能控制和管理光伏产生的电能、储存过程及后续的电能分配，确保电能的有效使用和供电的可靠性。该系统的目的是最大化太阳能资源的利用，通过电能存储解决太阳能发电的间歇性问题，并优化电能的供给与需求，提高整个微电网的能效和经济性，该系统还可以支持灾难应急情况下的能源自给自足，增强微电网的独立运行能力。Among them, the photovoltaic storage and charging microgrid energy management system is an integrated system that combines solar power generation, energy storage and energy charging management. The system is mainly used in microgrids to ensure the effective use of electricity and the reliability of power supply through intelligent control and management of photovoltaic power generation, storage process and subsequent power distribution. The purpose of this system is to maximize the utilization of solar energy resources, solve the intermittent problem of solar power generation through energy storage, optimize the supply and demand of electricity, improve the energy efficiency and economy of the entire microgrid, and support energy self-sufficiency in disaster emergency situations, and enhance the independent operation capability of the microgrid.

现有的微电网管理技术虽然支持独立运行和与主电网的连接或断开，但在能源产出与消费的动态匹配和实时优化方面仍有局限，尤其是在太阳能光伏发电的利用上，现有技术未能实时调整发电策略以应对突变的天气条件，导致在多云或雨天时太阳能发电效率大幅下降，对储能设备的管理多依赖于预设的充放电周期，缺乏灵活调整的能力，这在电力需求波动大的情况下易导致能源供应不足或过剩。现有技术中的负载管理也较为固定，未能充分利用实时数据进行优化，使得在电能需求高峰期出现供电不足的风险，限制微电网的整体性能和效率，增加运行成本并影响系统对紧急情况的响应能力。Although existing microgrid management technologies support independent operation and connection or disconnection with the main grid, they are still limited in terms of dynamic matching and real-time optimization of energy output and consumption. In particular, in the use of solar photovoltaic power generation, existing technologies fail to adjust power generation strategies in real time to cope with sudden weather conditions, resulting in a significant drop in solar power generation efficiency on cloudy or rainy days. The management of energy storage equipment mostly relies on preset charging and discharging cycles and lacks the ability to adjust flexibly, which can easily lead to insufficient or excessive energy supply when power demand fluctuates greatly. The load management in existing technologies is also relatively fixed and fails to make full use of real-time data for optimization, resulting in the risk of insufficient power supply during peak periods of power demand, limiting the overall performance and efficiency of microgrids, increasing operating costs and affecting the system's ability to respond to emergencies.

发明内容Summary of the invention

本发明的目的是解决现有技术中存在的缺点，而提出的一种光储充微电网能源管理系统及方法。The purpose of the present invention is to solve the shortcomings of the prior art and to propose a photovoltaic storage and charging microgrid energy management system and method.

为了实现上述目的，本发明采用了如下技术方案：一种光储充微电网能源管理系统包括：In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: A photovoltaic storage and charging microgrid energy management system comprises:

光伏产出调整模块基于光伏发电实时产出的实时数据，调整光伏面板角度和操作频率，得到光伏发电效率，并结合实时天气变化和光照条件，调整输出并匹配能源需求，生成最优日光利用方案；The photovoltaic output adjustment module adjusts the photovoltaic panel angle and operating frequency based on the real-time data of photovoltaic power generation, obtains the photovoltaic power generation efficiency, and adjusts the output and matches the energy demand in combination with the real-time weather changes and light conditions to generate the optimal sunlight utilization plan;

储能调配模块利用所述最优日光利用方案，调整储能设备的充放电周期并匹配日光变化，平衡实时能源供应与需求峰值，获取储能效率数据，通过所述储能效率数据，并结合能源消耗趋势和预测需求，调整充放电策略，建立优化后的储能调度策略；The energy storage dispatching module uses the optimal sunlight utilization plan to adjust the charge and discharge cycle of the energy storage equipment and match the sunlight changes, balance the real-time energy supply and demand peak, obtain energy storage efficiency data, and adjust the charge and discharge strategy through the energy storage efficiency data and combined with the energy consumption trend and predicted demand to establish an optimized energy storage dispatching strategy;

负载管理与优化模块根据所述优化后的储能调度策略，实施动态负载管理，调整非关键负载的运行时段，得到负载调整执行记录，根据所述负载调整执行记录，通过实时负载数据调整负载响应，生成负载管理优化措施；The load management and optimization module implements dynamic load management according to the optimized energy storage scheduling strategy, adjusts the operating time period of non-critical loads, obtains load adjustment execution records, adjusts load response through real-time load data according to the load adjustment execution records, and generates load management optimization measures;

能效与资源优化模块基于所述负载管理优化措施，监测并分析光储充微电网的能源消耗与产出，调整能源分配并优化能源利用率，得到初始能效优化方案，并对储能设备的充放电计划进行微调，生成光储充能源调整方案。Based on the load management optimization measures, the energy efficiency and resource optimization module monitors and analyzes the energy consumption and output of the photovoltaic storage and charging microgrid, adjusts energy distribution and optimizes energy utilization, obtains an initial energy efficiency optimization plan, and fine-tunes the charging and discharging plan of the energy storage equipment to generate a photovoltaic storage and charging energy adjustment plan.

作为本发明的进一步方案，所述光伏发电效率的获取步骤具体为：As a further solution of the present invention, the step of obtaining the photovoltaic power generation efficiency is specifically as follows:

基于光伏发电实时产出的实时数据，测量光伏面板电流和电压，采用公式：；通过测量值计算获取实时发电功率，其中，表示电流，表示电压，表示实时发电功率；Based on the real-time data of photovoltaic power generation, the current and voltage of the photovoltaic panel are measured using the formula: ; Obtain real-time power generation through measurement calculation, where: represents the current, Indicates voltage, Indicates real-time power generation;

根据所述实时发电功率和从光照强度传感器中获取的光照角度，进行光伏面板角度的调整，优化发电量，重新设计并加入环境影响系数和光照强度，通过公式：；生成调整后的发电功率，其中，是光照角度，是环境影响系数，是光照强度，表示调整后的发电功率，表示实时发电功率；According to the real-time power generation and the light angle obtained from the light intensity sensor, the angle of the photovoltaic panel is adjusted to optimize the power generation, and the environmental impact coefficient and light intensity are redesigned and added, through the formula: ; Generate adjusted power generation, where, is the lighting angle, is the environmental impact factor, is the light intensity, represents the adjusted power generation, Indicates real-time power generation;

结合所述调整后发电功率、当前天气数据、太阳辐射强度和设备总效能，进行发电效率的计算，使用公式：；得到光伏发电效率，其中，是天气数据，是太阳辐射强度，是设备效能，是设备效率调整参数，表示光伏发电效率，表示调整后的发电功率。The power generation efficiency is calculated by combining the adjusted power generation, current weather data, solar radiation intensity and total equipment efficiency, using the formula: ; Get the photovoltaic power generation efficiency, where, It is weather data. is the solar radiation intensity, It is the equipment performance. is the equipment efficiency adjustment parameter, represents the photovoltaic power generation efficiency, Indicates the adjusted power generation.

作为本发明的进一步方案，所述最优日光利用方案的获取步骤具体为：As a further solution of the present invention, the steps for obtaining the optimal sunlight utilization plan are specifically as follows:

基于所述光伏发电效率，通过光照强度传感器测量实时光照强度和当前天气状况，结合光伏面板的输出数据，计算日照调整因子，采用公式：；生成调整后的能源输出数据，其中，表示光伏面板的输出功率，表示天气状况，表示光照强度，表示调整后的能源输出数据，表示日照调整因子；Based on the photovoltaic power generation efficiency, the real-time light intensity and current weather conditions are measured by the light intensity sensor, and the sunshine adjustment factor is calculated in combination with the output data of the photovoltaic panel, using the formula: ; Generate adjusted energy output data, where Represents the output power of the photovoltaic panel, Indicates weather conditions. Indicates the light intensity, represents the adjusted energy output data, represents the sunshine adjustment factor;

使用所述调整后的能源输出数据，对比预测的能源需求，采用公式：计算并生成日光利用率，其中，是调整后的能源输出数据，是预测的能源需求，是光照强度，是日光利用率；Using the adjusted energy output data, compared to the predicted energy demand, the daylight utilization factor is calculated and generated using the formula: where, is the adjusted energy output data, is the predicted energy demand, is the light intensity, is the daylight utilization rate;

根据所述日光利用率和光照调整参数，优化光伏面板角度，使用公式：；生成最优日光利用方案，其中，代表日光利用率，代表光照角度，代表最优日光利用方案。According to the sunlight utilization and light adjustment parameters, the photovoltaic panel angle is optimized using the formula: ; Generate the optimal daylight utilization plan, where represents the daylight utilization rate, Represents the lighting angle, Represents the optimal daylight utilization solution.

作为本发明的进一步方案，所述优化后的储能调度策略的获取步骤具体为：As a further solution of the present invention, the steps for obtaining the optimized energy storage scheduling strategy are specifically as follows:

根据所述最优日光利用方案和当前天气状况，调整储能设备的充电计划，应用公式：；生成初步充电策略，其中，表示最优日光利用方案，表示当前的天气状况百分比，表示初步充电策略；According to the optimal sunlight utilization plan and current weather conditions, the charging plan of the energy storage device is adjusted, and the formula is applied: ; Generate a preliminary charging strategy, where represents the optimal daylight utilization scheme, Indicates the current weather condition percentage, Indicates the preliminary charging strategy;

根据所述初步充电策略，结合预测的能源需求和储能设备的状态，采用公式：；生成初步储能调度计划，其中，是初步充电策略，是储能设备的状态指示，是预测能源需求，是初步储能调度计划；According to the preliminary charging strategy, combined with the predicted energy demand and the state of the energy storage device, the formula is adopted: ; Generate a preliminary energy storage dispatch plan, where: is the initial charging strategy, It is the status indicator of the energy storage device. is to predict energy demand, It is the preliminary energy storage dispatch plan;

利用所述初步储能调度计划和市场能源价格，优化充放电策略，运用公式：；生成优化后的储能调度策略，其中，代表初步储能调度计划，代表市场能源价格，表示优化后的储能调度策略。Using the preliminary energy storage scheduling plan and market energy prices, the charging and discharging strategy is optimized using the formula: ; Generate an optimized energy storage dispatch strategy, where: Represents the preliminary energy storage dispatch plan, represents the market energy price, Represents the optimized energy storage scheduling strategy.

作为本发明的进一步方案，所述负载调整执行记录的获取步骤具体为：As a further solution of the present invention, the step of acquiring the load adjustment execution record is specifically as follows:

从所述优化后的储能调度策略中提取关键数据，结合当前实时能源供应状况，计算可调节非关键负载的时间窗口，通过公式：；生成调整后的运行时间，其中，代表优化后的储能调度策略，代表当前能源供应状态，表示调节系数，表示调整常数，表示调整后的运行时间；Extract key data from the optimized energy storage scheduling strategy, combine it with the current real-time energy supply status, and calculate the time window for adjusting non-critical loads. ; Generate adjusted runtime, where represents the optimized energy storage dispatch strategy, Represents the current energy supply status, represents the adjustment coefficient, represents the adjustment constant, represents the adjusted running time;

利用所述调整后的运行时间，参照设备响应时间，进行动态负载调整，应用公式：；生成动态负载调整方案，其中，是调整后的运行时间，是设备的响应时间，是增强调整精度的乘数，是动态负载调整方案；Using the adjusted run time, reference the equipment response time to perform dynamic load adjustment, applying the formula: ; Generate a dynamic load adjustment scheme, where is the adjusted running time, is the response time of the device, is a multiplier that enhances the precision of the adjustment, It is a dynamic load adjustment scheme;

根据所述动态负载调整方案和实时运行数据，计算并记录负载调整的执行效果，采用公式：；生成负载调整执行记录，其中，代表负载调整方案，是规避数值过小的常数，是负载调整执行记录。According to the dynamic load adjustment scheme and real-time operation data, the execution effect of the load adjustment is calculated and recorded, using the formula: ; Generate a load adjustment execution record, where represents the load adjustment scheme, is a constant to avoid values that are too small. It is the load adjustment execution record.

作为本发明的进一步方案，所述负载管理优化措施的获取步骤具体为：As a further solution of the present invention, the steps of obtaining the load management optimization measures are specifically as follows:

根据所述负载调整执行记录和实时负载数据，采用公式：；评估当前的负响应有效性，生成初步的负载响应评估结果，其中，表示负载调整执行记录，代表实时负载数据，是规避除零而加入的小正数，是根据历史数据定义的变量，是初步的负载响应评估结果，是权重系数；According to the load adjustment execution record and real-time load data, the formula is used: ; Evaluate the effectiveness of the current negative response and generate preliminary load response evaluation results, where: Indicates the load adjustment execution record, Represents real-time load data, is a small positive number added to avoid division by zero, is a variable defined based on historical data. is the preliminary load response assessment result, is the weight coefficient;

根据所述初步的负载响应评估结果和设定的响应阈值，确定需调整的需求，采用公式：；生成定制化调整策略，其中，是初步的负载响应评估结果，是响应阈值，是定制化调整策略，和是新引入的调节系数；According to the preliminary load response evaluation results and the set response threshold, the demand to be adjusted is determined using the formula: ; Generate a customized adjustment strategy, where is the preliminary load response assessment result, is the response threshold, It is a customized adjustment strategy. and is the newly introduced adjustment coefficient;

使用所述定制化调整策略，结合设备运行限制，确定并实施优化措施，采用公式：；生成负载管理优化措施，其中，是定制化调整策略，是设备运行限制，表示实用系数，是负载管理优化措施，和表示调节公式的敏感度和扩展性。Using the customized adjustment strategy described above, combined with the equipment operating constraints, determine and implement optimization measures using the formula: ; Generate load management optimization measures, where It is a customized adjustment strategy. It is the equipment operation limitation. represents the practical coefficient, is a load management optimization measure, and Indicates the sensitivity and scalability of the adjustment formula.

作为本发明的进一步方案，所述光储充能源调整方案的获取步骤具体为：As a further solution of the present invention, the steps for obtaining the solar energy storage and charging adjustment solution are specifically as follows:

根据所述负载管理优化措施，捕捉光储充微电网的实时能源消耗和能源产出，应用公式：；生成初步能效评估结果，其中，是小正数，和是权重因子，代表能源消耗，代表能源产出，是初步能效评估结果；According to the load management optimization measures, the real-time energy consumption and energy output of the photovoltaic storage microgrid are captured, and the formula is applied: ; Generate preliminary energy efficiency assessment results, including: is a small positive number, and is the weight factor, represents energy consumption, Represents energy output, It is the result of the preliminary energy efficiency assessment;

基于所述初步能效评估结果，结合能源使用趋势，采用公式：；生成调整后的能效优化方案，其中，是反应度调节系数，是初步能效评估结果，表示能源使用趋势，为调整后的能效优化方案；Based on the preliminary energy efficiency assessment results and combined with energy usage trends, the formula is used: ; Generate an adjusted energy efficiency optimization plan, where: is the responsiveness adjustment coefficient, is the preliminary energy efficiency assessment result, Indicates energy usage trends, The energy efficiency optimization plan after adjustment;

利用所述调整后的能效优化方案，对储能设备的充放电计划进行微调，运用公式：；得到光储充能源调整方案，其中，是调整因子，是需求预测误差，是能效优化方案，是光储充能源调整方案。Using the adjusted energy efficiency optimization scheme, fine-tune the charging and discharging plan of the energy storage equipment, using the formula: ; Get the light storage and charging energy adjustment plan, where: is the adjustment factor, is the demand forecast error, It is an energy efficiency optimization solution. It is a solar storage and charging energy adjustment plan.

一种光储充微电网能源管理方法，所述光储充微电网能源管理方法基于上述光储充微电网能源管理系统执行，包括以下步骤：A method for managing energy in a photovoltaic storage and charging microgrid is provided, wherein the method is implemented based on the photovoltaic storage and charging microgrid energy management system, and comprises the following steps:

S1：基于光伏发电实时产出的实时数据，分析当前光照强度和天气状况，通过电机控制调节面板角度，利用变频器调整操作频率，计算得出优化后的日光利用策略；S1: Based on the real-time data of photovoltaic power generation, the current light intensity and weather conditions are analyzed, the panel angle is adjusted through motor control, the operating frequency is adjusted using the inverter, and the optimized daylight utilization strategy is calculated;

S2：根据所述优化后的日光利用策略，采用电流调节技术调整储能设备的充电周期，使用电压调节技术调整放电周期，结合日光实时变化和预测能源需求，实施动态能源平衡，获取储能调度优化方案；S2: According to the optimized sunlight utilization strategy, the charging cycle of the energy storage device is adjusted by using current regulation technology, and the discharge cycle is adjusted by using voltage regulation technology. In combination with the real-time changes of sunlight and the predicted energy demand, dynamic energy balance is implemented to obtain the energy storage scheduling optimization plan;

S3：利用所述储能调度优化方案，采用负载管理控制器调整非关键负载的运行时间，记录调整后的执行情况，更新负载响应策略，获取优化负载管理记录；S3: using the energy storage scheduling optimization solution, using a load management controller to adjust the operating time of non-critical loads, recording the adjusted execution status, updating the load response strategy, and obtaining optimized load management records;

S4：从所述优化负载管理记录中提取能源消耗数据，通过实时监控配置监控微电网能源产出情况，根据能源消耗数据调整能源分配，通过细化调整储能设备的充放电计划，生成能效优化策略；S4: extracting energy consumption data from the optimized load management record, monitoring the energy output of the microgrid through real-time monitoring configuration, adjusting energy distribution according to the energy consumption data, and generating an energy efficiency optimization strategy by refining and adjusting the charging and discharging plan of the energy storage device;

S5：基于所述能效优化策略，调整微电网的能源调配，参照光伏产出和储能设备性能数据，实施能源调配操作，构建光储充能源调整方案。S5: Based on the energy efficiency optimization strategy, adjust the energy allocation of the microgrid, refer to the photovoltaic output and energy storage equipment performance data, implement energy allocation operations, and build a photovoltaic storage and charging energy adjustment plan.

与现有技术相比，本发明的优点和积极效果在于：Compared with the prior art, the advantages and positive effects of the present invention are:

本发明中，通过调整光伏面板角度和操作频率以适应实时光照和天气变化，实现电能产出的动态最优化，使得光伏发电更加高效，尤其在日照不稳定的环境中，能够有效利用每一缕阳光，极大提升太阳能资源的利用率。通过智能调整储能设备的充放电周期来匹配实时日光变化和能源需求，充分利用储能系统，减少能源浪费并平衡了供需，通过实时负载管理优化电能分配，根据负载调整记录动态调节电网，使得非关键负载在需求低时减少能耗，提高系统整体的能效和经济性，全面的能源管理不仅提高微电网的能效，还增强系统对外部干扰的适应能力和韧性，尤其在紧急情况下能够保持能源的自给自足。In the present invention, by adjusting the angle and operating frequency of the photovoltaic panel to adapt to real-time light and weather changes, the dynamic optimization of power output is achieved, making photovoltaic power generation more efficient, especially in an environment with unstable sunlight, every ray of sunlight can be effectively utilized, greatly improving the utilization rate of solar energy resources. By intelligently adjusting the charging and discharging cycle of the energy storage device to match the real-time sunlight changes and energy demand, the energy storage system is fully utilized, energy waste is reduced and supply and demand are balanced. The power distribution is optimized through real-time load management, and the power grid is dynamically adjusted according to the load adjustment record, so that non-critical loads can reduce energy consumption when demand is low, and the overall energy efficiency and economy of the system are improved. Comprehensive energy management not only improves the energy efficiency of the microgrid, but also enhances the system's adaptability and resilience to external interference, especially in emergency situations, it can maintain energy self-sufficiency.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

图1为本发明的系统流程图；Fig. 1 is a system flow chart of the present invention;

图2为本发明中光伏发电效率的流程图；FIG2 is a flow chart of photovoltaic power generation efficiency in the present invention;

图3为本发明中最优日光利用方案的流程图；FIG3 is a flow chart of the optimal sunlight utilization scheme in the present invention;

图4为本发明中优化后的储能调度策略的流程图；FIG4 is a flow chart of the optimized energy storage scheduling strategy in the present invention;

图5为本发明中负载调整执行记录的流程图；FIG5 is a flow chart of the load adjustment execution record in the present invention;

图6为本发明中负载管理优化措施的流程图；FIG6 is a flow chart of load management optimization measures in the present invention;

图7为本发明中光储充能源调整方案的流程图。FIG. 7 is a flow chart of the solar energy storage and charging adjustment scheme of the present invention.

具体实施方式DETAILED DESCRIPTION

为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

在本发明的描述中，需要理解的是，术语“长度”、“宽度”、“上”、“下”、“前”、“后”、“左”、“右”、“竖直”、“水平”、“顶”、“底”、“内”、“外”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本发明和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本发明的限制。此外，在本发明的描述中，“多个”的含义是两个或两个以上，除非另有明确具体的限定。In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

请参阅图1，本发明提供一种技术方案：一种光储充微电网能源管理系统包括：Please refer to FIG1 . The present invention provides a technical solution: a photovoltaic storage and charging microgrid energy management system includes:

光伏产出调整模块基于光伏发电实时产出的实时数据，调整光伏面板角度和操作频率，得到光伏发电效率，并结合实时天气变化和光照条件，调整输出并匹配能源需求，生成最优日光利用方案；The photovoltaic output adjustment module adjusts the photovoltaic panel angle and operating frequency based on the real-time data of photovoltaic power generation, obtains the photovoltaic power generation efficiency, and adjusts the output and matches the energy demand in combination with the real-time weather changes and light conditions to generate the optimal sunlight utilization plan;

储能调配模块利用最优日光利用方案，调整储能设备的充放电周期并匹配日光变化，平衡实时能源供应与需求峰值，获取储能效率数据，通过储能效率数据，并结合能源消耗趋势和预测需求，调整充放电策略，建立优化后的储能调度策略；The energy storage dispatch module uses the optimal sunlight utilization plan to adjust the charge and discharge cycle of the energy storage equipment and match the sunlight changes, balance the real-time energy supply and demand peak, obtain energy storage efficiency data, and adjust the charge and discharge strategy through the energy storage efficiency data, combined with energy consumption trends and predicted demand, to establish an optimized energy storage dispatch strategy;

负载管理与优化模块根据优化后的储能调度策略，实施动态负载管理，调整非关键负载的运行时段，得到负载调整执行记录，根据负载调整执行记录，通过实时负载数据调整负载响应，生成负载管理优化措施；The load management and optimization module implements dynamic load management according to the optimized energy storage scheduling strategy, adjusts the operating time of non-critical loads, obtains load adjustment execution records, adjusts load response through real-time load data according to the load adjustment execution records, and generates load management optimization measures;

能效与资源优化模块基于负载管理优化措施，监测并分析光储充微电网的能源消耗与产出，调整能源分配并优化能源利用率，得到初始能效优化方案，并对储能设备的充放电计划进行微调，生成光储充能源调整方案。The energy efficiency and resource optimization module monitors and analyzes the energy consumption and output of the photovoltaic storage and charging microgrid based on load management optimization measures, adjusts energy distribution and optimizes energy utilization, obtains the initial energy efficiency optimization plan, and fine-tunes the charging and discharging plan of the energy storage equipment to generate a photovoltaic storage and charging energy adjustment plan.

光伏发电效率包括角度优化、频率优化、天气适应性，最优日光利用方案包括角度最优化、频率匹配度、需求响应能力，储能效率数据包括充电效率、放电效率、供需平衡指标，优化后的储能调度策略包括充电策略微调、放电策略微调、需求预测匹配，负载调整执行记录包括时段调整细节、数据调整响应、运行效率提高，负载管理优化措施包括管理策略精细化、响应速度提升、负载适应性增强，初始能效优化方案包括消耗降低措施、产出效率提升、分配效率优化，光储充能源调整方案包括发电调度优化、储能调度微调、利用率最大化。Photovoltaic power generation efficiency includes angle optimization, frequency optimization, and weather adaptability. The optimal sunlight utilization plan includes angle optimization, frequency matching, and demand response capability. Energy storage efficiency data includes charging efficiency, discharge efficiency, and supply and demand balance indicators. The optimized energy storage scheduling strategy includes charging strategy fine-tuning, discharge strategy fine-tuning, and demand forecast matching. Load adjustment execution records include time period adjustment details, data adjustment response, and improved operating efficiency. Load management optimization measures include refinement of management strategies, improved response speed, and enhanced load adaptability. The initial energy efficiency optimization plan includes consumption reduction measures, output efficiency improvement, and distribution efficiency optimization. The light storage and charging energy adjustment plan includes power generation scheduling optimization, energy storage scheduling fine-tuning, and utilization maximization.

请参阅图2，光伏发电效率的获取步骤具体为：Please refer to Figure 2, the specific steps for obtaining photovoltaic power generation efficiency are:

基于光伏发电实时产出的实时数据，测量光伏面板电流和电压，采用公式：；通过测量值计算获取实时发电功率，其中，表示电流，表示电压，表示实时发电功率；Based on the real-time data of photovoltaic power generation, the current and voltage of the photovoltaic panel are measured using the formula: ; Obtain real-time power generation through measurement calculation, where: represents the current, Indicates voltage, Indicates real-time power generation;

根据实时发电功率和从光照强度传感器中获取的光照角度，进行光伏面板角度的调整，优化发电量，重新设计并加入环境影响系数和光照强度，通过公式：生成调整后的发电功率，其中，是光照角度，是环境影响系数，是光照强度，表示调整后的发电功率，表示实时发电功率；According to the real-time power generation and the light angle obtained from the light intensity sensor, the angle of the photovoltaic panel is adjusted to optimize the power generation, and the environmental impact coefficient and light intensity are redesigned and added, through the formula: Generates adjusted power generation, where is the lighting angle, is the environmental impact factor, is the light intensity, represents the adjusted power generation, Indicates real-time power generation;

结合调整后发电功率、当前天气数据、太阳辐射强度和设备总效能，进行发电效率的计算，使用公式：；得到光伏发电效率，其中，是天气数据，是太阳辐射强度，是设备效能，是设备效率调整参数，表示光伏发电效率，表示调整后的发电功率。The power generation efficiency is calculated by combining the adjusted power generation, current weather data, solar radiation intensity and total equipment efficiency, using the formula: ; Get the photovoltaic power generation efficiency, where, It is weather data. is the solar radiation intensity, It is the equipment performance. is the equipment efficiency adjustment parameter, represents the photovoltaic power generation efficiency, Indicates the adjusted power generation.

实时发电功率公式：；Real-time power generation formula: ;

：电流，单位为安培(A)，假设通过传感器测量得到； : Current, in amperes (A), assumed to be measured by a sensor;

：电压，单位为伏特(V)，假设通过传感器测量得到； : Voltage, in volts (V), assumed to be measured by a sensor;

假设电流A，假设电压V；Assuming current A, assuming voltage V;

计算：；这里W代表实时的发电功率是60瓦特。calculate : ;here W represents the real-time power generation which is 60 watts.

调整后的发电功率公式：；Adjusted power generation formula: ;

：环境影响系数，假设考虑了温度、湿度等因素； : Environmental impact coefficient, assuming that factors such as temperature and humidity are taken into account;

：光照角度，通过光照角度传感器获取； : Light angle, obtained through the light angle sensor;

：光照强度，单位为流明(Im)，通过光照强度传感器获取； : Light intensity, in lumens (Im), obtained through the light intensity sensor;

假设，假设，假设；Assumptions , assuming , assuming ;

计算：；这里W说明调整后的发电功率是2.33瓦特。calculate : ;here W means the adjusted power generation is 2.33 watts.

光伏发电效率公式：；Photovoltaic power generation efficiency formula: ;

：设备效率调整参数，考虑设备的维护状态和老化； : Equipment efficiency adjustment parameters, taking into account the maintenance status and aging of the equipment;

：太阳辐射强度，单位为瓦特每平方米（W/m²）； : solar radiation intensity, in watts per square meter (W/m²);

：设备效能，包括功率因数； : Equipment efficiency, including power factor;

：天气状况影响，如阴影、云量等； : Influence of weather conditions, such as shadows, cloud cover, etc.;

假设，假设，假设假设units；Assumptions , assuming , assuming Assumptions units;

计算：；这里表示光伏发电效率非常低，是因为光照条件不佳或设备效能不高。calculate : ;here It means that the efficiency of photovoltaic power generation is very low, either because of poor lighting conditions or low equipment efficiency.

请参阅图3，最优日光利用方案的获取步骤具体为：Please refer to Figure 3, the specific steps for obtaining the optimal daylight utilization plan are:

基于光伏发电效率，通过光照强度传感器测量实时光照强度和当前天气状况，结合光伏面板的输出数据，计算日照调整因子，采用公式：生成调整后的能源输出数据，其中，表示光伏面板的输出功率，表示天气状况，表示光照强度，表示调整后的能源输出数据，表示日照调整因子；Based on the photovoltaic power generation efficiency, the real-time light intensity and current weather conditions are measured by the light intensity sensor, combined with the output data of the photovoltaic panel, to calculate the sunshine adjustment factor using the formula: Generate adjusted energy output data where: Represents the output power of the photovoltaic panel, Indicates weather conditions. Indicates the light intensity, represents the adjusted energy output data, represents the sunshine adjustment factor;

使用调整后的能源输出数据，对比预测的能源需求，采用公式：；计算并生成日光利用率，其中，是调整后的能源输出数据，预测的能源需求，是光照强度，是日光利用率；Use the adjusted energy output data to compare the forecasted energy demand using the formula: ; Calculate and generate daylight utilization rate, where, is the adjusted energy output data, Forecasted energy demand, is the light intensity, is the daylight utilization rate;

根据日光利用率和光照调整参数，优化光伏面板角度，使用公式：；生成最优日光利用方案，其中，代表日光利用率，代表光照角度，代表最优日光利用方案。Adjust parameters according to sunlight utilization and illumination, optimize the photovoltaic panel angle, and use the formula: ; Generate the optimal daylight utilization plan, where represents the daylight utilization rate, Represents the lighting angle, Represents the optimal daylight utilization solution.

调整后的能源输出数据公式：；Adjusted energy output data formula: ;

：光伏面板的输出功率，假设通过电表直接读取，单位为千瓦(kW)； : The output power of the photovoltaic panel, assuming it is read directly by an electric meter, in kilowatts (kW);

：天气状况，假设为一个简化的数值，代表云量百分比； : Weather conditions, assumed to be a simplified value representing the percentage of cloud cover;

：光照强度，通过光照传感器测量，单位为瓦特每平方米(W/m2)； : Light intensity, measured by a light sensor, in watts per square meter (W/m2);

：日照调整因子，假设为，以避免除零错误，并简化计算； : Sunlight adjustment factor, assumed to be , to avoid division by zero errors and simplify calculations;

假设，假设，假设；Assumptions , assuming , assuming ;

计算：；；这里kW代表在给定的光照强度和天气条件下，调整后的能源输出为49.4千瓦。calculate : ; ;here kW represents the adjusted energy output of 49.4 kilowatts for a given light intensity and weather conditions.

日光利用率的公式：；The formula for daylight utilization is: ;

：上个步骤中计算的调整后能源输出； : The adjusted energy output calculated in the previous step;

：预测的能源需求，假设基于历史数据和天气预测模型得到，单位为千瓦(kW)； : predicted energy demand, assumed to be based on historical data and weather forecast models, in kilowatts (kW);

：光照强度，已在上个步骤中提及； : Light intensity, mentioned in the previous step;

假设参数：使用上个步骤中计算得到的kW，假设kW；Assumed parameters: Use the parameters calculated in the previous step kW, assuming kW;

计算：；表示当前的日光利用率。calculate : ; Indicates the current daylight utilization rate.

最优日光利用方案公式：；Optimal daylight utilization solution formula: ;

：上个步骤中计算的日光利用率； : The daylight utilization rate calculated in the previous step;

：光照角度，假设通过自动追踪系统调整，以最大化日光捕获，取角度值为30度； : The illumination angle is assumed to be adjusted by the automatic tracking system to maximize the capture of sunlight, and the angle value is 30 degrees;

假设参数：使用步骤2的，假设；Assumed parameters: Use step 2 , assuming ;

计算过程：；；代表最优日光利用方案的评分，数值越大表示日光利用越有效。Calculation process: ; ; Represents the score of the optimal daylight utilization plan. The larger the value, the more effective the daylight utilization.

请参阅图4，优化后的储能调度策略的获取步骤具体为：Please refer to Figure 4, the specific steps for obtaining the optimized energy storage scheduling strategy are:

根据最优日光利用方案和当前天气状况，调整储能设备的充电计划，应用公式：；生成初步充电策略，其中，表示最优日光利用方案，表示当前的天气状况百分比，表示初步充电策略；According to the optimal sunlight utilization plan and current weather conditions, adjust the charging plan of the energy storage equipment and apply the formula: ; Generate a preliminary charging strategy, where represents the optimal daylight utilization scheme, Indicates the current weather condition percentage, Indicates the preliminary charging strategy;

根据初步充电策略，结合预测的能源需求和储能设备的状态，采用公式：；According to the preliminary charging strategy, combined with the predicted energy demand and the status of the energy storage device, the formula is adopted: ;

生成初步储能调度计划，其中，是初步充电策略，是储能设备的状态指示，是预测能源需求，是初步储能调度计划；Generate a preliminary energy storage dispatch plan, where: is the initial charging strategy, It is the status indicator of the energy storage device. is to predict energy demand, It is the preliminary energy storage dispatch plan;

利用初步储能调度计划和市场能源价格，优化充放电策略，运用公式：；生成优化后的储能调度策略，其中，代表初步储能调度计划，代表市场能源价格，表示优化后的储能调度策略。Using the preliminary energy storage dispatch plan and market energy prices, the charging and discharging strategy is optimized using the formula: ; Generate an optimized energy storage dispatch strategy, where: Represents the preliminary energy storage dispatch plan, represents the market energy price, Represents the optimized energy storage scheduling strategy.

初步充电策略公式：；Preliminary charging strategy formula: ;

：最优日光利用方案的效率，假设是从光伏系统的实时监控数据中获得； : The efficiency of the optimal sunlight utilization scheme, assumed to be obtained from the real-time monitoring data of the photovoltaic system;

：天气状况百分比，假设通过天气预报API获取； : Weather condition percentage, assumed to be obtained through the weather forecast API;

假设参数：假设(75%效率)，假设(%)；Assumption parameters: Assumptions (75% efficiency), assuming (%);

计算：；这个结果表示在当前天气状况下，基于最优日光利用方案调整后的初步充电策略为90%的充电效率。calculate : ; This result It means that under the current weather conditions, the initial charging strategy adjusted based on the optimal sunlight utilization plan has a charging efficiency of 90%.

初步储能调度计划公式：；Preliminary energy storage dispatch plan formula: ;

：上个步骤中计算得出的初步充电策略； : The preliminary charging strategy calculated in the previous step;

：储能设备的状态指示，假设这是从设备的健康监控系统获取的； : Status indication of the energy storage device, assuming this is obtained from the device's health monitoring system;

：预测的能源需求，假设通过历史数据分析和未来需求预测模型计算得出； : Forecasted energy demand, assumed to be calculated through historical data analysis and future demand forecasting models;

假设参数：使用上个步骤中得到的，假设(95%的设备健康状况)，假设(kW的需求)；Assumption parameters: Use the parameters obtained in the previous step , assuming (95% device health), assuming (kW demand);

计算：；这个结果说明当前实际的储能调度计划效率非常低，这反映出设备健康状况的影响或耗能需求的挑战。calculate : ; This result This indicates that the current actual energy storage scheduling plan is very inefficient, which reflects the impact of equipment health or the challenge of energy consumption demand.

优化后的储能调度策略公式：；Optimized energy storage scheduling strategy formula: ;

：从上个步骤中得到的实际储能调度计划； : The actual energy storage dispatch plan obtained from the previous step;

：市场能源价格，假设通过能源市场的实时数据获取； : Market energy price, assumed to be obtained through real-time data from the energy market;

假设参数：使用上个步骤中得到的，假设(%)；Assumption parameters: Use the parameters obtained in the previous step , assuming (%);

计算：；这个结果表示最终优化后的储能调度策略的效率，调整为市场能源价格变动后的响应。calculate : ; This result It represents the efficiency of the final optimized energy storage dispatch strategy, adjusted to the response after changes in market energy prices.

请参阅图5，负载调整执行记录的获取步骤具体为：Please refer to FIG5 , the steps for obtaining the load adjustment execution record are as follows:

从优化后的储能调度策略中提取关键数据，结合当前实时能源供应状况，计算可调节非关键负载的时间窗口，通过公式：；生成调整后的运行时间，其中，代表优化后的储能调度策略，代表当前能源供应状态，表示调节系数，表示调整常数，表示调整后的运行时间；Extract key data from the optimized energy storage scheduling strategy, combine it with the current real-time energy supply situation, and calculate the time window for adjusting non-critical loads. ; Generate adjusted runtime, where represents the optimized energy storage dispatch strategy, Represents the current energy supply status, represents the adjustment coefficient, represents the adjustment constant, represents the adjusted running time;

利用调整后的运行时间，参照设备响应时间，进行动态负载调整，应用公式：；生成动态负载调整方案，其中，是调整后的运行时间，是设备的响应时间，是增强调整精度的乘数，是动态负载调整方案；Using the adjusted run time, refer to the equipment response time for dynamic load adjustment, applying the formula: ; Generate a dynamic load adjustment scheme, where is the adjusted running time, is the response time of the device, is a multiplier that enhances the precision of the adjustment, It is a dynamic load adjustment scheme;

根据动态负载调整方案和实时运行数据，计算并记录负载调整的执行效果，采用公式：；生成负载调整执行记录，其中，代表负载调整方案，是规避数值过小的常数，是负载调整执行记录。According to the dynamic load adjustment scheme and real-time operation data, calculate and record the execution effect of load adjustment, using the formula: ; Generate a load adjustment execution record, where represents the load adjustment scheme, is a constant to avoid values that are too small. It is the load adjustment execution record.

调整后的运行时间的公式：；The formula for adjusted run time is: ;

：优化后的储能调度策略的效率，通过能源管理系统的分析工具获得； : The efficiency of the optimized energy storage dispatch strategy is obtained through the analysis tools of the energy management system;

：当前能源供应状态，通过能源供应系统的监控设备实时获取； : The current energy supply status is obtained in real time through the monitoring equipment of the energy supply system;

：调节系数，根据历史数据和预测模型确定，用以调整负载时间以适应能源供应变化； : Adjustment coefficient, determined based on historical data and forecasting models, used to adjust load time to adapt to changes in energy supply;

：调整常数，增加公式的灵活性，以处理意外或极端情况； : Adjust constants to increase the flexibility of the formula to handle unexpected or extreme situations;

假设参数值为：(80%的效率)，(单位：千瓦)，(调节系数)，(调整常数)；Assume the parameter values are: (80% efficiency), (Unit: kilowatt), (Adjustment coefficient), (Adjustment constant);

计算：；calculate : ;

这个结果表示在给定的供应和调度策略下，非关键负载的理想运行时间为0.001067单位时间。This result It means that under the given supply and scheduling strategy, the ideal operating time of non-critical load is 0.001067 unit time.

动态负载调整方案公式：；Dynamic load adjustment scheme formula: ;

：上个步骤中计算得到的负载运行时间； : The load running time calculated in the previous step;

：设备的响应时间，从设备规格和运行记录中获取； : The response time of the device, obtained from the device specifications and operation records;

：一个用于增强调整精度的乘数，根据设备性能和运行环境设定； : A multiplier used to enhance adjustment accuracy, set according to device performance and operating environment;

假设参数值为：使用上个步骤中计算得到的，(单位：秒)，；Assume that the parameter value is: Use the value calculated in the previous step , (Unit: seconds), ;

计算：；calculate : ;

这个结果表示详细的负载调整方案需要考虑设备响应时间和调整乘数的影响。This result A detailed load adjustment scheme needs to consider the impact of equipment response time and adjustment multiplier.

负载调整执行记录公式：；Load adjustment execution record formula: ;

：上个步骤中得到的负载调整方案； : The load adjustment solution obtained in the previous step;

：为了避免数值过小而难以处理，添加的常数，通常设为1或更小的正数，以保持数值稳定； : In order to avoid the value being too small to be handled, the added constant is usually set to 1 or a smaller positive number to keep the value stable;

假设参数值为：使用上个步骤中计算得到的，；Assume that the parameter value is: Use the value calculated in the previous step , ;

计算：；calculate : ;

这个结果显示了执行记录的数值，表示调整执行的有效记录。This result The value of the execution record is displayed, indicating the effective record of the adjustment execution.

请参阅图6，负载管理优化措施的获取步骤具体为：Please refer to FIG6 , the steps for obtaining the load management optimization measures are as follows:

根据负载调整执行记录和实时负载数据，采用公式：；评估当前的负载响应有效性，生成初步的负载响应评估结果，其中，表示负载调整执行记录，代表实时负载数据，是规避除零而加入的小正数，是根据历史数据定义的变量，是初步的负载响应评估结果，是权重系数；Based on load adjustment execution record and real-time load data, use the formula: ; Evaluate the effectiveness of the current load response and generate preliminary load response evaluation results, where: Indicates the load adjustment execution record, Represents real-time load data, is a small positive number added to avoid division by zero, is a variable defined based on historical data. is the preliminary load response assessment result, is the weight coefficient;

根据初步的负载响应评估结果和设定的响应阈值，确定需调整的需求，采用公式：；生成定制化调整策略，其中，是初步的负载响应评估结果，是响应阈值，是定制化调整策略，和是新引入的调节系数；Based on the preliminary load response assessment results and the set response threshold, determine the demand for adjustment using the formula: ; Generate a customized adjustment strategy, where is the preliminary load response assessment result, is the response threshold, It is a customized adjustment strategy. and is the newly introduced adjustment coefficient;

使用定制化调整策略，结合设备运行限制，确定并实施优化措施，采用公式：；生成负载管理优化措施，其中，是定制化调整策略，是设备运行限制，表示实用系数，是负载管理优化措施，和表示调节公式的敏感度和扩展性。Use a customized tuning strategy to identify and implement optimization measures in conjunction with equipment operating constraints, using the formula: ; Generate load management optimization measures, where It is a customized adjustment strategy. It is the equipment operation limitation. represents the practical coefficient, is a load management optimization measure, and Indicates the sensitivity and scalability of the adjustment formula.

初步的负载响应评估结果的公式：；The formula for the preliminary load response assessment result is: ;

：负载调整执行记录，从能源管理系统获取的实际记录； : Load adjustment execution record, actual record obtained from the energy management system;

：实时负载数据，通过传感器和监控系统实时采集； : Real-time load data, collected in real time through sensors and monitoring systems;

：微小正数，用于防止除零错误，设为0.01； : A small positive number, used to prevent division by zero errors, set to 0.01;

：根据历史数据调整的变量，反映过去对类似情况的处理效果，设为经验值1.5； : A variable adjusted based on historical data, reflecting the effect of past treatments on similar situations, set to an empirical value of 1.5;

：权重系数，调整以适应不同的负载变化情况，通过模拟和优化过程确定，这里设； : Weight coefficient, adjusted to adapt to different load changes, determined through simulation and optimization process, here set ;

假设；Assumptions ;

计算过程：；Calculation process: ;

这表明在给定的实时数据和历史经验下，负载响应的初始评估值约为0.375。This suggests that given the real-time data and historical experience, an initial estimate of the load response is approximately 0.375.

定制化调整策略的公式：；The formula for the customized adjustment strategy: ;

：上一步骤计算的负载响应评估； : Evaluation of the load response calculated in the previous step;

：预设的响应阈值，基于历史效果和安全标准设定，设为0.5； : The preset response threshold is set to 0.5 based on historical effects and safety standards;

：增益系数，调整响应的敏感度，设为2； : Gain coefficient, adjust the sensitivity of the response, set to 2;

：增强调整的非线性效应，设为1.5； : Enhance the nonlinear effect of adjustment, set to 1.5;

假设参数值为：使用上述值；Assume that the parameter value is: Using the above value ;

计算：；calculate : ;

这表明进一步调整的需求是在调整系数和阈值的作用下减少。This suggests that the need for further adjustment is reduced by the adjustment factor and threshold.

负载管理优化措施公式：；Load management optimization measures formula: ;

：上一步骤生成的调整方案； : The adjustment plan generated in the previous step;

：设备运行限制，根据设备性能参数确定，设为200； : Equipment operation limit, determined according to equipment performance parameters, set to 200;

：实用系数，根据操作经验调整，设为0.8； : Practical coefficient, adjusted according to operating experience, set to 0.8;

：用于调节公式的敏感度和扩展性，设； : Used to adjust the sensitivity and scalability of the formula. ;

使用上述值0.218；Use the above Value 0.218;

计算：；calculate : ;

这表示最终的优化措施值非常小，表明调整措施对当前负载的影响较轻，需要评估是否足够影响系统性能。This means that the final optimization measure value is very small, indicating that the adjustment measure has a slight impact on the current load and needs to be evaluated whether it has a sufficient impact on system performance.

请参阅图7，光储充能源调整方案的获取步骤具体为：Please refer to Figure 7, the specific steps for obtaining the photovoltaic storage and charging energy adjustment plan are:

根据负载管理优化措施，捕捉光储充微电网的实时能源消耗和能源产出，应用公式：；生成初步能效评估结果，其中，是小正数，和是权重因子，代表能源消耗，代表能源产出，是初步能效评估结果；According to the load management optimization measures, the real-time energy consumption and energy output of the photovoltaic storage microgrid are captured, and the formula is applied: ; Generate preliminary energy efficiency assessment results, including: is a small positive number, and is the weight factor, represents energy consumption, Represents energy output, It is the result of the preliminary energy efficiency assessment;

基于初步能效评估结果，结合能源使用趋势，采用公式：；生成调整后的能效优化方案，其中，是反应度调节系数，是初步能效评估结果，表示能源使用趋势，为调整后的能效优化方案；Based on the preliminary energy efficiency assessment results and combined with energy usage trends, the formula is used: ; Generate an adjusted energy efficiency optimization plan, where: is the responsiveness adjustment coefficient, is the preliminary energy efficiency assessment result, Indicates energy usage trends, The energy efficiency optimization plan after adjustment;

利用调整后的能效优化方案，对储能设备的充放电计划进行微调，运用公式：；得到光储充能源调整方案，其中，是调整因子，是需求预测误差，是能效优化方案，是光储充能源调整方案。Using the adjusted energy efficiency optimization plan, fine-tune the charging and discharging plan of the energy storage equipment, using the formula: ; Get the light storage and charging energy adjustment plan, where: is the adjustment factor, is the demand forecast error, It is an energy efficiency optimization solution. It is a solar storage and charging energy adjustment plan.

初步能效评估结果公式：；Preliminary energy efficiency assessment result formula: ;

：能源产出(例如光伏产电量)； : Energy output (e.g. photovoltaic power generation);

：能源消耗(例如能耗)； : Energy consumption (e.g. energy consumption);

：微小常数，避免除零错误，一般取； : A small constant to avoid division by zero errors, usually ;

：调节系数，影响产出和消耗的权重； : Adjustment coefficient, the weight that affects output and consumption;

假设在一个光伏系统中，一天内总的能源产出为500kWh，能源消耗为450kWh，设定，，；Assume that in a photovoltaic system, the total energy output in a day is The energy consumption is 500kWh. For 450kWh, set , , ;

计算：；calculate : ;

； ;

；这表示能效比为约5.905，高能效比反映出较好的能源利用效率。 ; This means that the energy efficiency ratio is about 5.905, and the high energy efficiency ratio reflects better energy utilization efficiency.

调整后的能效优化方案公式：；Adjusted energy efficiency optimization solution formula: ;

：从上个步骤中获得的初步能效评估结果； : The preliminary energy efficiency evaluation results obtained from the previous step;

：能源使用趋势百分比； : Energy use trend percentage;

：趋势反应调节系数； : Trend response adjustment coefficient;

假设能源使用趋势是5%，调节系数；Assumed energy use trends It is 5%, the adjustment factor ;

计算：；calculate : ;

； ;

； ;

这里得到的优化后的能效方案增加到6.121，显示出能效随趋势增加的提升。The optimized energy efficiency solution obtained here It increases to 6.121, showing the improvement of energy efficiency as the trend increases.

光储充能源调整方案公式：；The formula for adjusting the light storage and charging energy is as follows: ;

：从上个步骤中获得的调整后的能效优化方案； : The adjusted energy efficiency optimization solution obtained from the previous step;

：需求预测误差调整因子； : Demand forecast error adjustment factor;

：预测需求误差百分比； : Percentage of forecast demand error;

假设预测误差为2%，调整因子；Assuming the prediction error The adjustment factor is 2%. ;

计算：；calculate : ;

； ;

最终的光储充能源调整方案调整为5.773，考虑了需求预测的误差。The final solar energy storage and charging adjustment plan Adjusted to 5.773, taking into account the error in demand forecast.

一种光储充微电网能源管理方法，光储充微电网能源管理方法基于上述光储充微电网能源管理系统执行，包括以下步骤：A method for managing energy in a photovoltaic storage and charging microgrid is provided. The method for managing energy in a photovoltaic storage and charging microgrid is implemented based on the photovoltaic storage and charging microgrid energy management system, and comprises the following steps:

S1：基于光伏发电实时产出的实时数据，分析当前光照强度和天气状况，通过电机控制调节面板角度，利用变频器调整操作频率，计算得出优化后的日光利用策略；S1: Based on the real-time data of photovoltaic power generation, the current light intensity and weather conditions are analyzed, the panel angle is adjusted through motor control, the operating frequency is adjusted using the inverter, and the optimized daylight utilization strategy is calculated;

S2：根据优化后的日光利用策略，采用电流调节技术调整储能设备的充电周期，使用电压调节技术调整放电周期，结合日光实时变化和预测能源需求，实施动态能源平衡，获取储能调度优化方案；S2: Based on the optimized sunlight utilization strategy, current regulation technology is used to adjust the charging cycle of energy storage equipment, and voltage regulation technology is used to adjust the discharge cycle. Combined with the real-time changes in sunlight and predicted energy demand, dynamic energy balance is implemented to obtain an energy storage scheduling optimization plan;

S3：利用储能调度优化方案，采用负载管理控制器调整非关键负载的运行时间，记录调整后的执行情况，更新负载响应策略，获取优化负载管理记录；S3: Using the energy storage scheduling optimization solution, the load management controller is used to adjust the operating time of non-critical loads, record the adjusted execution status, update the load response strategy, and obtain the optimized load management record;

S4：从优化负载管理记录中提取能源消耗数据，通过实时监控配置监控微电网能源产出情况，根据能源消耗数据调整能源分配，通过细化调整储能设备的充放电计划，生成能效优化策略；S4: Extract energy consumption data from the optimized load management records, monitor the energy output of the microgrid through real-time monitoring configuration, adjust energy distribution according to energy consumption data, and generate energy efficiency optimization strategies by refining and adjusting the charging and discharging plans of energy storage devices;

S5：基于能效优化策略，调整微电网的能源调配，参照光伏产出和储能设备性能数据，实施能源调配操作，构建光储充能源调整方案。S5: Based on the energy efficiency optimization strategy, adjust the energy allocation of the microgrid, refer to the photovoltaic output and energy storage equipment performance data, implement energy allocation operations, and build a photovoltaic storage and charging energy adjustment plan.

以上，仅是本发明的较佳实施例而已，并非对本发明作其他形式的限制，任何熟悉本专业的技术人员可能利用上述揭示的技术内容加以变更或改型为等同变化的等效实施例应用于其他领域，但是凡是未脱离本发明技术方案内容，依据本发明的技术实质对以上实施例所做的任何简单修改、等同变化与改型，仍属于本发明技术方案的保护范围。The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.