Distributed photovoltaic-oriented autonomous flexible power regulation and energy storage cooperative control system

Abstract

The invention discloses a distributed photovoltaic-oriented autonomous flexible power regulation and energy storage cooperative control system, and particularly relates to the photovoltaic field. Comprising a multi-source basic data acquisition module, a core operation parameter calculation module, a light storage basic performance fusion analysis module, a load adaptation and adjustment capability comprehensive evaluation module, an energy storage state associated system operation evaluation module and a system full-dimension comprehensive efficiency evaluation module. A load power supply emergency response analysis module; and a system optimization decision and control execution module. According to the invention, photovoltaic power fluctuation can be quickly responded, and power grid impact is reduced through smooth output of a dynamic adjustment strategy; energy storage and load requirements are accurately matched, charging and discharging parameters are dynamically optimized according to states, and the utilization efficiency and reliability of equipment are improved; and a multi-dimensional comprehensive energy efficiency evaluation model is constructed, and closed-loop control is combined to realize full-process collaborative optimization, so that the system stability and the intelligent management level are enhanced.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic technology, and more specifically, to an autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic systems. Background Technology

[0002] With the promotion and application of distributed photovoltaic technology, how to achieve efficient collaborative control of photovoltaic power sources and energy storage systems and improve the stability and energy efficiency of power systems has become an important research direction. Existing distributed photovoltaic systems usually adopt traditional power control strategies, which use simple threshold judgments to achieve photovoltaic power regulation and energy storage charging and discharging management. Their operation process mainly relies on preset fixed logic, and can only make coarse adjustments based on real-time power deviations. They lack the ability to comprehensively analyze the dynamic characteristics of the system and perform multi-dimensional collaborative optimization.

[0003] However, traditional systems have revealed significant shortcomings in actual operation: on the one hand, they are slow to respond to photovoltaic power fluctuations and cannot quickly smooth out drastic changes in output power, resulting in significant grid impact; on the other hand, the charging and discharging strategies of energy storage systems are not deeply coupled with photovoltaic output and load demand, often resulting in the energy storage state of charge deviating from the ideal range, which reduces the utilization efficiency and lifespan of energy storage equipment; in addition, the overall energy efficiency assessment system of the system is simplistic, focusing only on the simple ratio of power generation to power consumption, lacking comprehensive consideration of key indicators such as power regulation response speed and equipment operating status, making it difficult to achieve optimized control of the entire process. Summary of the Invention

[0004] To overcome the aforementioned deficiencies in the prior art, this invention provides an autonomous flexible power regulation and energy storage collaborative control system for distributed photovoltaics. The system addresses the problems mentioned in the background art, such as the lack of mention of system hardware costs and installation complexity, the lack of explanation of multi-scenario adaptability verification, and insufficient consideration of stability under extreme weather conditions.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic systems, comprising: Multi-source basic data acquisition module: By deploying sensors and meters at key nodes, it acquires electrical parameters, time and status parameters, and cumulative power consumption parameters; Core operating parameter calculation module: Based on the data acquired by the multi-source basic data acquisition module, it calculates basic data reflecting the core operating status of the system through a preset mathematical model; Photovoltaic-storage basic performance integration analysis module: Calculates stability efficiency parameters based on photovoltaic power fluctuation coefficient and energy storage charge-discharge efficiency factor, and preliminarily evaluates the basic operating performance of the system; Load adaptation and regulation capability comprehensive evaluation module: Calculates system regulation capability parameters based on stability efficiency parameters, load power matching degree and power regulation response speed index, and sets a judgment mechanism based on load power matching degree threshold; The system operation assessment module associated with energy storage status calculates operation status assessment parameters based on system regulation capability parameters and energy storage state of charge deviation, provided that the energy storage state of charge deviation is not zero. The system's comprehensive performance evaluation module calculates the system's comprehensive evaluation value based on the operational status assessment parameters and the system's comprehensive energy efficiency indicators. It conducts a comprehensive evaluation from two dimensions: system operational status and overall energy efficiency, and obtains the final evaluation result of the system. Load power supply emergency response analysis module: When the load power matching degree is less than the load power matching degree threshold, the emergency analysis process is triggered to obtain the power regulation response speed index and energy storage charging and discharging efficiency factor. After analysis, a strategy is formulated and the results are fed back to the load adaptation and regulation capability comprehensive evaluation module. System optimization decision and control execution module: Based on the system comprehensive evaluation value and the preset evaluation threshold, it generates control commands to control the power regulation of the distributed photovoltaic system and the charging and discharging strategy of the energy storage system, and feeds the control commands back to the multi-source basic data acquisition module to form a closed-loop control.

[0006] Preferably, the electrical parameters are obtained by installing power sensors at the output end of the photovoltaic array, the interface of the energy storage system, and the load side to collect the photovoltaic output power, the energy storage charging and discharging power, and the real-time load power in real time. The power sensors are based on the Hall effect principle to measure the voltage and current signals in the AC or DC circuit, calculate the power value through the built-in algorithm, and transmit the data to the data acquisition terminal through the Modbus protocol. For the charging and discharging current and voltage of the energy storage system, a power monitoring module is used for high-frequency sampling, which supports multi-channel synchronous acquisition.

[0007] Preferably, the time and status parameters are collected using a system clock module and an event triggering mechanism. When a power adjustment command is issued, the system records the command sending time and starts a timer. When the power is detected to be stable within the target value range, specifically when the deviation is less than a set threshold, the current time is recorded. The difference between the two times is used to calculate the actual time taken to complete the power adjustment, which is used to calculate the power adjustment response speed index. For the energy storage state of charge, the remaining battery power is collected in real time by the battery management system, and the state of charge value is calculated in combination with the battery's rated capacity. The ideal state of charge range is stored in the control unit as a system preset parameter.

[0008] Preferably, the cumulative electricity parameters are measured by smart meters installed at the output end of the photovoltaic system, the energy storage charging and discharging circuit, and the load access point, respectively, to achieve cumulative electricity measurement. The smart meters have pulse output and digital communication interfaces, which can send the cumulative electricity data to the data acquisition terminal in a specified protocol format. The total photovoltaic power generation is counted by the photovoltaic side meter, and the total electricity charged into the energy storage is obtained through the energy storage charging circuit meter. For the effective utilization of photovoltaic electricity and the effective utilization of energy storage, the correspondence between the meter data and the load electricity consumption data is analyzed, and the portion of electricity that has not been actually consumed is eliminated.

[0009] Preferably, the basic data includes photovoltaic power fluctuation coefficient, energy storage charge and discharge efficiency factor, load power matching degree, power regulation response speed index, energy storage state of charge deviation degree, and system comprehensive energy efficiency index.

[0010] Preferably, the photovoltaic power fluctuation coefficient is calculated by the ratio of the difference in photovoltaic output power at adjacent moments to the power at the previous moment in the adjacent moments, specifically expressed as follows: , express t Photovoltaic power fluctuation coefficient at any given time. express Photovoltaic output power at all times express The photovoltaic output power at any given time; the energy storage charge / discharge efficiency factor is calculated by the ratio of the actual energy storage capacity to the theoretical charge / discharge capacity, specifically expressed as: , This indicates the actual charge and discharge capacity of the energy storage system. This represents the theoretical charge / discharge capacity, measured by real-time monitoring of the energy storage system's charge / discharge current. and voltage By monitoring the charging and discharging current of the energy storage system in real time Inner integral get, This represents the theoretical charge / discharge capacity, based on the rated capacity of the energy storage device. and depth of charge and discharge Confirmed, specifically The load power matching degree is calculated by the relationship between photovoltaic output power, energy storage discharge power and real-time load power, and measures the degree to which the system power supply meets the load demand. Specifically, it is expressed as follows: , express t Load power matching degree at any given time express t Energy storage and discharge power at any given time express t Real-time load power; the power regulation response speed index is calculated by the ratio of the set regulation amount to the actual regulation time, specifically expressed as: , This indicates the set power adjustment amount. This indicates the actual time taken to complete power regulation; the energy storage state of charge deviation is calculated based on the degree of deviation between the current state of charge and the median of the ideal state, specifically expressed as follows: , express t Deviation of energy storage state of charge at any given time express t Constant state of energy storage and charge. This represents the median value of the ideal state of charge range. This represents the maximum value of the ideal state of charge range; the system's comprehensive energy efficiency index is calculated as the ratio of the system's effectively utilized electricity to the total generated electricity, specifically expressed as: , This represents the overall energy efficiency index of the system. Indicates the effective utilization of electricity by photovoltaic power. This indicates that energy storage effectively utilizes electricity. This represents the total power generation from photovoltaic power. The total amount of electricity is added to the energy storage.

[0011] Preferably, the photovoltaic-storage basic performance fusion analysis module receives the photovoltaic power fluctuation coefficient output by the core operating parameter calculation module. and energy storage charge and discharge efficiency factor Through formula Calculate the stability efficiency parameter ,exist This indicates that the photovoltaic output power is stable. .

[0012] Preferably, the load adaptation and adjustment capability comprehensive evaluation module obtains the stability efficiency parameters calculated by the photovoltaic-storage basic performance fusion analysis module. and the load power matching degree of the core operating parameter calculation module. and the power regulation response speed index Using the formula Calculate the system regulation capability parameters .

[0013] Preferably, the load adaptation and adjustment capability comprehensive evaluation module is also equipped with a judgment mechanism, when When, trigger the emergency analysis process; when At that time, according to the standard procedure The output is sent to the next analysis module. The load power matching degree threshold is determined by the system based on historical operating data and load characteristic analysis. For example, it is determined by statistically analyzing the load power matching degree data of the system during stable operation under different operating conditions, and taking its lower limit as the threshold. .

[0014] Preferably, the system operation assessment module associated with the energy storage state receives the system regulation capability parameters output by the load adaptation and regulation capability comprehensive assessment module. And the deviation of the energy storage state of charge from the core operating parameter calculation module. ,exist Under the condition of using the formula Calculate the operating status evaluation parameters .

[0015] Preferably, the system's comprehensive performance evaluation module obtains the operating status evaluation parameters calculated by the system operation evaluation module associated with the energy storage status. The system's comprehensive energy efficiency index, and the core operating parameter calculation module. Through formula Calculate the overall evaluation value of the system. .

[0016] Preferably, the emergency analysis process uses a priority weighting algorithm for analysis, and sets a response speed weighting coefficient. And energy storage efficiency weighting coefficient ,and Calculate the comprehensive emergency index At the same time, set a response speed threshold. and energy storage efficiency threshold ,like If the system response is slow, execute a response speed optimization strategy; if If the energy storage efficiency is deemed unsatisfactory, an energy storage efficiency improvement strategy is implemented; if neither of these strategies meets the requirements, both strategies are implemented simultaneously.

[0017] Preferably, when the response is determined to be slow, the response speed optimization strategy is: set the target value of the power regulation response speed index to... , Based on the system's hardware performance limits and historical fastest response times, the actual time required to complete power regulation is shortened by increasing the control signal sampling frequency and optimizing power regulation algorithm parameters, thereby improving performance. .

[0018] Preferably, when the energy storage efficiency is determined to be unsatisfactory, the energy storage efficiency improvement strategy is as follows: if the current state is charging, reduce the charging current to... , Determine based on the charge / discharge curve of the energy storage device; if currently in a discharging state, adjust the discharge voltage to... , The determination is based on the equipment efficiency-voltage characteristic curve; at the same time, the energy storage discharge power is increased, and the photovoltaic output priority is adjusted to prioritize the supply of photovoltaic power to the load, with the remaining power used for energy storage charging.

[0019] Preferably, the system optimization decision and control execution module obtains the system comprehensive evaluation value output by the system's all-dimensional comprehensive performance evaluation module. Then, compared with the preset evaluation threshold. Conduct comparative analysis. The evaluation value is obtained by simulating the system's operating effects under different operating strategies and selecting the value that enables the system to achieve the expected performance goals.

[0020] Preferably, when When the system is in operation, a control command is generated to maintain the current operating strategy. The command is then sent to the multi-source basic data acquisition module, enabling the system to continue operating in the existing mode and to continue monitoring the data.

[0021] Preferably, when Calculate the difference. And formulate different control commands according to the difference range, when At that time, a fine-tuning instruction is generated: the sensitivity parameter for photovoltaic power regulation is increased. At the same time, the timing of energy storage charging and discharging will be advanced or postponed. minute, The difference threshold is set based on the system's historical operating data and the acceptable performance fluctuation range. This refers to the fine-tuning coefficient determined based on the adjustment accuracy of the photovoltaic equipment. Determined based on the charge / discharge efficiency-time curve of the energy storage system.

[0022] Preferably, when At that time, a comprehensive adjustment instruction is generated: the photovoltaic output power allocation scheme is re-planned, and the photovoltaic output power is proportionally allocated to the load side and the energy storage charging side based on real-time irradiance, load demand, and energy storage state of charge; the energy storage charging and discharging strategy is optimized, and if the energy storage state of charge is lower than the set lower limit, the instruction is executed. The charging current is set to If the state of charge is higher than the set upper limit value Increase discharge power to balance the load. Set according to the safety operation requirements of energy storage equipment Determined based on the maximum allowable charging current of the energy storage device. Set according to the optimal operating range of the energy storage device.

[0023] The technical effects and advantages of this invention are as follows: 1. To address the issue of delayed response to photovoltaic power fluctuations in existing technologies, this invention monitors the photovoltaic output power fluctuation coefficient in real time through multi-source data acquisition and core parameter calculation. Combined with the fusion analysis of photovoltaic and energy storage fundamental performance and load adaptation assessment, the power regulation strategy is dynamically adjusted. When power fluctuations are detected, the system can quickly calculate the regulation amount and optimize the control signal sampling frequency, shorten the actual regulation time, significantly improve the response speed of power regulation, effectively smooth the intermittent fluctuations of photovoltaic output, reduce the impact on the power grid, and enhance the stability of the power system. 2. To address the deficiency of insufficient coupling between energy storage charging and discharging strategies and load demand, this invention establishes a dual evaluation mechanism that correlates load adaptation and energy storage status through load power matching degree calculation and energy storage state of charge deviation analysis. When the load power matching degree is lower than the threshold, the system triggers an emergency response process, dynamically adjusting the current and voltage parameters according to the current charging and discharging status of the energy storage. For example, the current is reduced during charging to reduce energy loss, and the voltage is optimized during discharging to improve efficiency. At the same time, priority is given to ensuring power supply to critical loads and adjusting the photovoltaic output priority, so as to achieve precise matching between energy storage resources and load demand, and improve the utilization efficiency and operational reliability of energy storage equipment. 3. To address the issue of the limited scope of existing energy efficiency assessment systems, this invention constructs a comprehensive performance evaluation model covering multiple dimensions such as photovoltaic power fluctuation, energy storage efficiency, load matching degree, and response speed. Through the calculation of the comprehensive evaluation value across all dimensions of the system and a closed-loop control mechanism, it can not only monitor the system's operating status and overall energy efficiency in real time, but also dynamically fine-tune the photovoltaic power adjustment sensitivity and energy storage working sequence based on the evaluation results, or re-plan the power allocation scheme and charging and discharging strategy. This achieves full-process collaborative optimization from data acquisition and parameter calculation to optimized control, significantly improving the comprehensive energy efficiency and intelligent management level of distributed photovoltaic systems. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the overall structure of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] refer to Figure 1 The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic systems shown includes: Multi-source basic data acquisition module: By deploying sensors and meters at key nodes, electrical parameters, time and status parameters, and cumulative power consumption parameters are obtained.

[0027] The electrical parameters are collected in real time by installing power sensors at the output end of the photovoltaic array, the interface of the energy storage system, and the load side. The photovoltaic output power, energy storage charging and discharging power, and real-time load power are collected. The power sensors are based on the Hall effect principle, measuring the voltage and current signals in the AC or DC circuit, calculating the power value through a built-in algorithm, and transmitting the data to the data acquisition terminal via the Modbus protocol. For the charging and discharging current and voltage of the energy storage system, a power monitoring module is used for high-frequency sampling, supporting multi-channel synchronous acquisition.

[0028] The time and status parameters are collected using the system clock module and event triggering mechanism. When a power adjustment command is issued, the system records the command sending time and starts a timer. When the power is detected to be stable within the target value range, specifically when the deviation is less than the set threshold, the current time is recorded. The difference between the two times is used to calculate the actual time taken to complete the power adjustment, which is used to calculate the power adjustment response speed index. For the energy storage state of charge, the battery management system collects the remaining battery power in real time and calculates the state of charge value in combination with the battery's rated capacity. The ideal state of charge range is stored in the control unit as a system preset parameter.

[0029] The cumulative electricity parameters are measured by installing smart meters at the output end of the photovoltaic system, the energy storage charging and discharging circuit, and the load access point. The smart meters are equipped with pulse output and digital communication interface, which can send the cumulative electricity data to the data acquisition terminal in a specified protocol format. The total photovoltaic power generation is counted by the photovoltaic side meter, and the total energy charged into the energy storage circuit is obtained through the energy storage charging circuit meter. For the effective utilization of photovoltaic power and energy storage power, the correspondence between the meter data and the load power consumption data is analyzed, and the portion of electricity that has not been actually consumed is eliminated.

[0030] Core operating parameter calculation module: Based on the data acquired by the multi-source basic data acquisition module, it calculates basic data reflecting the core operating status of the system through a preset mathematical model.

[0031] The basic data includes photovoltaic power fluctuation coefficient, energy storage charge and discharge efficiency factor, load power matching degree, power regulation response speed index, energy storage state of charge deviation degree, and system comprehensive energy efficiency index.

[0032] The photovoltaic power fluctuation coefficient is calculated by the ratio of the difference in photovoltaic output power at adjacent moments to the power at the previous moment within those adjacent moments, specifically expressed as follows: , express t Photovoltaic power fluctuation coefficient at any given time. express Photovoltaic output power at all times express The photovoltaic output power at any given time; the energy storage charge / discharge efficiency factor is calculated by the ratio of the actual energy storage capacity to the theoretical charge / discharge capacity, specifically expressed as: , This indicates the actual charge and discharge capacity of the energy storage system. This represents the theoretical charge / discharge capacity, measured by real-time monitoring of the energy storage system's charge / discharge current. and voltage By monitoring the charging and discharging current of the energy storage system in real time Inner integral get, This represents the theoretical charge / discharge capacity, based on the rated capacity of the energy storage device. and depth of charge and discharge Confirmed, specifically The load power matching degree is calculated by the relationship between photovoltaic output power, energy storage discharge power and real-time load power, and measures the degree to which the system power supply meets the load demand. Specifically, it is expressed as follows: , express t Load power matching degree at any given time express t Energy storage and discharge power at any given time express t Real-time load power; the power regulation response speed index is calculated by the ratio of the set regulation amount to the actual regulation time, specifically expressed as: , This indicates the set power adjustment amount. This indicates the actual time taken to complete power regulation; the energy storage state of charge deviation is calculated based on the degree of deviation between the current state of charge and the median of the ideal state, specifically expressed as follows: , express t Deviation of energy storage state of charge at any given time express t Constant state of energy storage and charge. This represents the median value of the ideal state of charge range. This represents the maximum value of the ideal state of charge range; the system's comprehensive energy efficiency index is calculated as the ratio of the system's effectively utilized electricity to the total generated electricity, specifically expressed as: , This represents the overall energy efficiency index of the system. Indicates the effective utilization of electricity by photovoltaic power. This indicates that energy storage effectively utilizes electricity. This represents the total power generation from photovoltaic power. The total amount of electricity is added to the energy storage.

[0033] Photovoltaic-storage basic performance integration analysis module: Calculates stability efficiency parameters based on photovoltaic power fluctuation coefficient and energy storage charge-discharge efficiency factor, and preliminarily evaluates the basic operating performance of the system.

[0034] The photovoltaic-storage basic performance fusion analysis module receives the photovoltaic power fluctuation coefficient output by the core operating parameter calculation module. and energy storage charge and discharge efficiency factor Through formula Calculate the stability efficiency parameter ,exist This indicates that the photovoltaic output power is stable. .

[0035] The load adaptation and regulation capability comprehensive evaluation module calculates the system regulation capability parameters based on stability efficiency parameters, load power matching degree, and power regulation response speed index, and sets a judgment mechanism based on the load power matching degree threshold.

[0036] The load adaptation and adjustment capability comprehensive evaluation module obtains the stability efficiency parameters calculated by the photovoltaic-storage basic performance fusion analysis module. and the load power matching degree of the core operating parameter calculation module. and the power regulation response speed index Using the formula Calculate the system regulation capability parameters .

[0037] The load adaptation and regulation capability comprehensive evaluation module is also equipped with a judgment mechanism, when... When, trigger the emergency analysis process; when At that time, according to the standard procedure The output is sent to the next analysis module. The load power matching degree threshold is determined by the system based on historical operating data and load characteristic analysis. For example, it is determined by statistically analyzing the load power matching degree data of the system during stable operation under different operating conditions, and taking its lower limit as the threshold. .

[0038] The system operation assessment module associated with energy storage status calculates operation status assessment parameters based on system regulation capability parameters and energy storage state of charge deviation, provided that the energy storage state of charge deviation is not zero.

[0039] The system operation assessment module associated with the energy storage state receives the system regulation capability parameters output by the load adaptation and regulation capability comprehensive assessment module. And the deviation of the energy storage state of charge from the core operating parameter calculation module. ,exist Under the condition of using the formula Calculate the operating status evaluation parameters .

[0040] The system's comprehensive performance evaluation module calculates the system's comprehensive evaluation value based on the operational status assessment parameters and the system's comprehensive energy efficiency indicators. It conducts a comprehensive evaluation from two dimensions: system operational status and overall energy efficiency, and obtains the final evaluation result of the system.

[0041] The system's comprehensive performance evaluation module obtains the operation status evaluation parameters calculated by the system operation evaluation module associated with the energy storage status. The system's comprehensive energy efficiency index, and the core operating parameter calculation module. Through formula Calculate the overall evaluation value of the system. .

[0042] Load power supply emergency response analysis module: When the load power matching degree is less than the load power matching degree threshold, the emergency analysis process is triggered to obtain the power regulation response speed index and energy storage charging and discharging efficiency factor. After analysis, a strategy is formulated and the results are fed back to the load adaptation and regulation capability comprehensive evaluation module.

[0043] The emergency analysis process employs a priority weighting algorithm, setting a weighting coefficient for response speed. And energy storage efficiency weighting coefficient ,and Calculate the comprehensive emergency index At the same time, set a response speed threshold. and energy storage efficiency threshold ,like If the system response is slow, execute a response speed optimization strategy; if If the energy storage efficiency is deemed unsatisfactory, an energy storage efficiency improvement strategy is implemented; if neither of these strategies meets the requirements, both strategies are implemented simultaneously.

[0044] When the response is determined to be slow, the response speed optimization strategy is as follows: set the target value of the power regulation response speed index to... , Based on the system's hardware performance limits and historical fastest response times, the actual time required to complete power regulation is shortened by increasing the control signal sampling frequency and optimizing power regulation algorithm parameters, thereby improving performance. ; When the energy storage efficiency is determined to be unsatisfactory, the energy storage efficiency improvement strategy is as follows: if the current state is charging, reduce the charging current to... , Determine based on the charge / discharge curve of the energy storage device; if currently in a discharging state, adjust the discharge voltage to... , Based on the equipment efficiency-voltage characteristic curve, it is used to improve discharge efficiency; at the same time, the energy storage discharge power is increased to prioritize the power supply to critical loads, and the photovoltaic output priority is adjusted to prioritize the supply of photovoltaic power to loads, with the remaining power used for energy storage charging.

[0045] System optimization decision and control execution module: Based on the system comprehensive evaluation value and the preset evaluation threshold, it generates control commands to control the power regulation of the distributed photovoltaic system and the charging and discharging strategy of the energy storage system, and feeds the control commands back to the multi-source basic data acquisition module to form a closed-loop control.

[0046] The system optimization decision-making and control execution module obtains the system comprehensive evaluation value output by the system's all-dimensional comprehensive performance evaluation module. Then, compared with the preset evaluation threshold. Conduct comparative analysis. By simulating the system's performance under different operating strategies, the evaluation value that enables the system to achieve the expected performance target is selected as the threshold. when When the system is in good operating condition, a control command is generated to maintain the current operating strategy. The command will be sent to the multi-source basic data acquisition module to enable the system to continue operating in the existing mode and continue to monitor the data. when Calculate the difference. And formulate different control commands according to the difference range, when If the difference is deemed too small, a fine-tuning instruction is generated: increase the sensitivity parameter for photovoltaic power adjustment. At the same time, the timing of energy storage charging and discharging will be advanced or postponed. minute, The difference threshold is set based on the system's historical operating data and the acceptable performance fluctuation range. This refers to the fine-tuning coefficient determined based on the adjustment accuracy of the photovoltaic equipment. Determined based on the charge / discharge efficiency-time curve of the energy storage system; when If the difference is deemed too large, a comprehensive adjustment instruction is generated: The photovoltaic output power allocation scheme is redesigned, and the photovoltaic output power is proportionally allocated to the load side and the energy storage charging side based on real-time irradiance, load demand, and energy storage state of charge; the energy storage charging and discharging strategy is optimized, and if the energy storage state of charge is lower than a set lower limit... Prioritize fast charging, and set the charging current to [value missing]. If the state of charge is higher than the set upper limit value Increase discharge power to balance the load. Set according to the safety operation requirements of energy storage equipment Determined based on the maximum allowable charging current of the energy storage device. Set according to the optimal operating range of the energy storage device.

[0047] This invention employs a multi-source basic data acquisition module to deploy sensors and meters at key nodes to acquire electrical parameters, time and status parameters, and cumulative power consumption parameters. Electrical parameters are acquired via power sensors, time and status parameters are acquired using a system clock module and an event triggering mechanism, and cumulative power consumption parameters are measured by smart meters. A core operating parameter calculation module, based on the acquired data, calculates fundamental data reflecting the system's core operating status, such as the photovoltaic power fluctuation coefficient and energy storage charge / discharge efficiency factor, using a preset mathematical model. A photovoltaic-energy storage basic performance fusion analysis module receives the photovoltaic power fluctuation coefficient and energy storage charge / discharge efficiency factor, and calculates stability efficiency parameters through multiplication. A load adaptation and regulation capability comprehensive evaluation module calculates the system's regulation capability parameters based on the stability efficiency parameters, load power matching degree, and power regulation response speed index, while also setting a judgment mechanism to trigger an event when the load power matching degree is less than a threshold. The system performs an emergency analysis; otherwise, the parameters are output to the next module. The system operation evaluation module, associated with the energy storage status, calculates the operation status evaluation parameters through division, provided the deviation is not zero, based on the system regulation capability parameters and the energy storage state of charge deviation. The system comprehensive efficiency evaluation module calculates the system comprehensive evaluation value through multiplication based on the operation status evaluation parameters and the system comprehensive energy efficiency index, yielding the final evaluation result. When the emergency analysis process is triggered, the load power supply emergency response analysis module acquires the power regulation response speed index and the energy storage charging and discharging efficiency factor, analyzes them using a priority weighting algorithm, quickly formulates a strategy, and provides feedback. The system optimization decision-making and control execution module generates control commands based on the system comprehensive evaluation value and a preset evaluation threshold, controlling the power regulation of the distributed photovoltaic system and the charging and discharging strategy of the energy storage system, and feeds the commands back to the multi-source basic data acquisition module, forming a closed-loop control.

[0048] Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation, characterized in that, include: Multi-source basic data acquisition module: By deploying sensors and meters at key nodes, it acquires electrical parameters, time and status parameters, and cumulative power consumption parameters; Core operating parameter calculation module: Based on the data acquired by the multi-source basic data acquisition module, it calculates basic data reflecting the core operating status of the system through a preset mathematical model; Photovoltaic-storage basic performance integration analysis module: Calculates stability efficiency parameters based on photovoltaic power fluctuation coefficient and energy storage charge-discharge efficiency factor, and preliminarily evaluates the basic operating performance of the system; Load adaptation and regulation capability comprehensive evaluation module: Calculates system regulation capability parameters based on the stability efficiency parameters, load power matching degree and power regulation response speed index, and sets a judgment mechanism based on the load power matching degree threshold; The system operation assessment module associated with energy storage status calculates operation status assessment parameters based on system regulation capability parameters and energy storage state of charge deviation, provided that the energy storage state of charge deviation is not zero. The system's comprehensive performance evaluation module calculates the system's comprehensive evaluation value based on the operational status evaluation parameters and the system's comprehensive energy efficiency indicators. This allows for a comprehensive evaluation from two dimensions: system operational status and overall energy efficiency, resulting in the final system evaluation result. Load power supply emergency response analysis module: When the load power matching degree is less than the load power matching degree threshold, the emergency analysis process is triggered to obtain the power regulation response speed index and the energy storage charging and discharging efficiency factor, and after analysis, a strategy is formulated, and the results are fed back to the load adaptation and regulation capability comprehensive evaluation module. System optimization decision and control execution module: Based on the comprehensive system evaluation value and the preset evaluation threshold, it generates control commands to control the power regulation of the distributed photovoltaic system and the charging and discharging strategy of the energy storage system, and feeds the control commands back to the multi-source basic data acquisition module to form a closed-loop control.

2. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 1, characterized in that: The basic data includes photovoltaic power fluctuation coefficient, energy storage charge and discharge efficiency factor, load power matching degree, power regulation response speed index, energy storage state of charge deviation degree, and system comprehensive energy efficiency index.

3. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 2, characterized in that: The photovoltaic power fluctuation coefficient is calculated by the ratio of the difference in photovoltaic output power at adjacent moments to the power at the previous moment within those adjacent moments, specifically expressed as follows: , express t Photovoltaic power fluctuation coefficient at any given time. express Photovoltaic output power at all times express The photovoltaic output power at any given time; the energy storage charge / discharge efficiency factor is calculated by the ratio of the actual energy storage capacity to the theoretical charge / discharge capacity, specifically expressed as: , This indicates the actual charge and discharge capacity of the energy storage system. This represents the theoretical charge / discharge capacity, measured by real-time monitoring of the energy storage system's charge / discharge current. and voltage By monitoring the charging and discharging current of the energy storage system in real time Inner integral get, This represents the theoretical charge / discharge capacity, based on the rated capacity of the energy storage device. and depth of charge and discharge Confirmed, specifically The load power matching degree is calculated by the relationship between photovoltaic output power, energy storage discharge power and real-time load power, and measures the degree to which the system power supply meets the load demand. Specifically, it is expressed as follows: , express t Load power matching degree at any given time express t Energy storage and discharge power at any given time express t Real-time load power; the power regulation response speed index is calculated by the ratio of the set regulation amount to the actual regulation time, specifically expressed as: , This indicates the set power adjustment amount. This indicates the actual time taken to complete power regulation; the energy storage state of charge deviation is calculated based on the degree of deviation between the current state of charge and the median of the ideal state, specifically expressed as follows: , express t Deviation of energy storage state of charge at any given time express t Constant state of energy storage and charge. This represents the median value of the ideal state of charge range. This represents the maximum value of the ideal state of charge range; the system's comprehensive energy efficiency index is calculated as the ratio of the system's effectively utilized electricity to the total generated electricity, specifically expressed as: , This represents the overall energy efficiency index of the system. Indicates the effective utilization of electricity by photovoltaic power. This indicates that energy storage effectively utilizes electricity. This represents the total power generation from photovoltaic power. The total amount of electricity is added to the energy storage.

4. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 3, characterized in that: The photovoltaic-storage basic performance fusion analysis module receives the photovoltaic power fluctuation coefficient output by the core operating parameter calculation module. and energy storage charge and discharge efficiency factor Through formula Calculate the stability efficiency parameter ,exist This indicates that the photovoltaic output power is stable. .

5. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 4, characterized in that: The load adaptation and adjustment capability comprehensive evaluation module obtains the stability efficiency parameters calculated by the photovoltaic-storage basic performance fusion analysis module. and the load power matching degree of the core operating parameter calculation module. and the power regulation response speed index Using the formula Calculate the system regulation capability parameters ; The load adaptation and regulation capability comprehensive evaluation module is also equipped with a judgment mechanism, when... When, trigger the emergency analysis process; when At that time, according to the standard procedure The output is sent to the next analysis module. The load power matching threshold is determined by the system based on historical operating data and load characteristic analysis.

6. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 5, characterized in that: The system operation assessment module associated with the energy storage state receives the system regulation capability parameters output by the load adaptation and regulation capability comprehensive assessment module. And the deviation of the energy storage state of charge from the core operating parameter calculation module. ,exist Under the condition of using the formula Calculate the operating status evaluation parameters .

7. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 6, characterized in that: The system's comprehensive performance evaluation module obtains the operation status evaluation parameters calculated by the system operation evaluation module associated with the energy storage status. The system's comprehensive energy efficiency index, and the core operating parameter calculation module. Through formula Calculate the overall evaluation value of the system. .

8. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 7, characterized in that: The emergency analysis process employs a priority weighting algorithm, setting a weighting coefficient for response speed. And energy storage efficiency weighting coefficient ,and Calculate the comprehensive emergency index At the same time, set a response speed threshold. and energy storage efficiency threshold ,like If the system response is slow, execute a response speed optimization strategy; if If the energy storage efficiency is deemed unsatisfactory, an energy storage efficiency improvement strategy will be implemented. If neither of the two criteria is met, then both strategies will be implemented simultaneously. When the response is determined to be slow, the response speed optimization strategy is as follows: set the target value of the power regulation response speed index to... , Based on the system's hardware performance limits and historical fastest response times, the actual time required to complete power regulation is shortened by increasing the control signal sampling frequency and optimizing power regulation algorithm parameters, thereby improving performance. ; When the energy storage efficiency is determined to be unsatisfactory, the energy storage efficiency improvement strategy is as follows: if the current state is charging, reduce the charging current to... , Determine based on the charge / discharge curve of the energy storage device; if currently in a discharging state, adjust the discharge voltage to... , The determination is based on the equipment efficiency-voltage characteristic curve; at the same time, the energy storage discharge power is increased and the photovoltaic output priority is adjusted.

9. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 8, characterized in that: The system optimization decision-making and control execution module obtains the system comprehensive evaluation value output by the system's all-dimensional comprehensive performance evaluation module. Then, compared with the preset evaluation threshold. Conduct comparative analysis. The evaluation value is obtained by simulating the system's operating effects under different operating strategies and selecting the value that enables the system to achieve the expected performance goals.

10. The autonomous flexible power regulation and energy storage coordinated control system for distributed photovoltaic power generation according to claim 9, characterized in that: when At that time, a control command is generated to maintain the current operating strategy. The command will be sent to the multi-source basic data acquisition module so that the system continues to operate in the existing mode and continues to monitor the data. when Calculate the difference. And formulate different control commands according to the difference range, when At that time, a fine-tuning instruction is generated: the sensitivity parameter for photovoltaic power regulation is increased. At the same time, the timing of energy storage charging and discharging will be advanced or postponed. minute, The difference threshold is set based on the system's historical operating data and the acceptable performance fluctuation range. This refers to the fine-tuning coefficient determined based on the adjustment accuracy of the photovoltaic equipment. Determined based on the charge / discharge efficiency-time curve of the energy storage system; when At that time, a comprehensive adjustment instruction is generated: the photovoltaic output power allocation scheme is re-planned, and the photovoltaic output power is proportionally allocated to the load side and the energy storage charging side based on real-time irradiance, load demand, and energy storage state of charge; the energy storage charging and discharging strategy is optimized, and if the energy storage state of charge is lower than the set lower limit, the instruction is executed. The charging current is set to If the state of charge is higher than the set upper limit value Increase discharge power to balance the load. Set according to the safety operation requirements of energy storage equipment Determined based on the maximum allowable charging current of the energy storage device. Set according to the optimal operating range of the energy storage device.

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