Following function control method suitable for household photovoltaic energy storage load

Abstract

The invention discloses a following function control method suitable for a household photovoltaic energy storage load, and particularly relates to the technical field of energy storage system management. Comprising a sub-region division step, a sub-region system operation information acquisition step, a sub-region system efficiency evaluation comprehensive analysis step, a target region system efficiency evaluation comprehensive analysis step, a system efficiency comprehensive evaluation judgment step and an interactive feedback step. According to the method, data from different sensors and systems, such as power generation data of a photovoltaic panel, charging and discharging data of an energy storage battery and real-time demand data of a load, are fused, an evaluation index system containing multiple dimensions is constructed, the effect of a load following function can be better evaluated, and meanwhile, the evaluation accuracy is improved on the basis of an evaluation model. A real-time feedback and optimization mechanism is established, and by monitoring the operation state and performance of the system in real time, the control strategy and optimization parameters of the load following function are adjusted in time to ensure that the system is always kept in the optimal operation state.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage system management, and more specifically, to a following function control method suitable for household photovoltaic energy storage loads. Background Art

[0002] As global environmental pollution and energy shortages become increasingly serious, photovoltaic power generation technology has received widespread attention and promotion as a clean, renewable energy utilization method. In recent years, photovoltaic power generation technology has become more mature, and the cost of photovoltaic systems has also decreased, making photovoltaic power generation technology widely used around the world, especially in the field of household photovoltaic energy storage.

[0003] However, household photovoltaic energy storage systems need to adjust their output power in real time according to load changes to ensure the stability and economy of power supply. However, due to the diversity and uncertainty of loads, achieving accurate load tracking has become a technical challenge.

[0004] In order to solve the above problems, the academic community has proposed a following function suitable for household photovoltaic energy storage loads. By constructing a load following function, the output power of the photovoltaic energy storage system can be accurately controlled to meet the real-time needs of the load.

[0005] However, there are still some shortcomings in its actual use. For example, the existing technology lacks a model that can accurately and multi-dimensionally measure the effect of the following function. Although the load following function theoretically provides a means of precise control of the output power of the photovoltaic energy storage system, in actual operation, due to the complexity and variability of the load and the mutual influence of various links within the system, how to build an accurate and multi-dimensional evaluation model has become an urgent problem to be solved. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a following function control method applicable to household photovoltaic energy storage loads, and solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above object, the present invention provides the following technical solution: A following function control method suitable for household photovoltaic energy storage loads, comprising: step 1: sub-area division: for recording the photovoltaic energy storage load device to be monitored as a target monitoring area, dividing the target monitoring area into sub-monitoring areas according to different loads, and marking them as 1, 2, 3...i in sequence;

[0008] Step 2: Sub-region system operation information collection: including photovoltaic equipment operation information collection unit, energy storage equipment operation information collection unit, load information collection unit and system performance information collection unit, which are used to collect data from the sub-region to obtain comprehensive parameters and output the comprehensive parameters to the sub-region system performance evaluation comprehensive analysis step;

[0009] Step 3: Comprehensive analysis of sub-region system performance evaluation: used to import and calculate the data collected in the sub-region system operation information collection step to obtain the sub-region photovoltaic power generation performance influence coefficient, sub-region energy storage system influence coefficient, sub-region load influence coefficient and sub-region system performance evaluation comprehensive index;

[0010] Step 4: Comprehensive analysis of target area system effectiveness evaluation: used to calculate the data imported in the sub-area system effectiveness evaluation comprehensive analysis step to obtain the target area system effectiveness evaluation comprehensive index;

[0011] Step 5: Comprehensive evaluation of system performance: used to compare the comprehensive index of system performance evaluation in the target area with the preset value, and input the comparison result into the interactive feedback step;

[0012] Step 6: Interactive feedback: used to import the comparison results into the administrator terminal. When the comparison result of the comprehensive index of the target area system performance evaluation is lower than the preset value, an alarm will be issued to the administrator's equipment and the reasons affecting the comprehensive index will be traced.

[0013] Preferably, the specific method for obtaining the comprehensive parameters of each sub-region in the sub-region system operation information collection step is as follows:

[0014] What needs to be specifically explained in this embodiment is that the comprehensive parameters refer to the sub-area light intensity parameters, the sub-area photovoltaic panel temperature parameters, the sub-area photovoltaic array output current parameters, the sub-area energy storage battery voltage parameters, the sub-area energy storage battery current parameters, the sub-area energy storage battery SOC parameters, the sub-area energy storage battery charging power parameters, the sub-area energy storage battery discharging power parameters, the sub-area load current fluctuation amplitude parameters, the sub-area load voltage fluctuation amplitude parameters, and the sub-area load average working power parameters.

[0015] The sub-region illumination intensity parameter refers to the illumination intensity t of the i sub-region i ;

[0016] The sub-region photovoltaic panel temperature parameter refers to the photovoltaic panel temperature m of the i sub-region i ;

[0017] The sub-region photovoltaic array output current parameter refers to the photovoltaic array output current p of the i sub-region photovoltaic array i ;

[0018] The sub-region energy storage battery voltage parameter refers to the energy storage battery voltage v i ;

[0019] The sub-region energy storage battery current parameter refers to the energy storage battery current l in the sub-region i i ;

[0020] The sub-region energy storage battery SOC parameter refers to the SOC value of the energy storage battery in the i sub-region soc i ;

[0021] The sub-region energy storage battery charging power parameter refers to the energy storage battery charging power w of the i sub-region energy storage battery i ;

[0022] The sub-region energy storage battery discharge power parameter refers to the energy storage battery discharge power u in the i sub-region i ;

[0023] The sub-region load current fluctuation amplitude parameter refers to the load current fluctuation amplitude g of the i sub-region i ;

[0024] The sub-region load voltage fluctuation amplitude parameter refers to the load voltage fluctuation amplitude q of the i sub-region i ;

[0025] The sub-area load average working power parameter refers to the i sub-area load average working power r i .

[0026] Preferably, the specific collection method of the sub-region load current fluctuation amplitude parameter is as follows:

[0027] Collect the current peak bf when the sub-area load is working i And the current valley bg i , and finally obtain the sub-region load current fluctuation amplitude

[0028] Preferably, the specific method of collecting the sub-region load voltage fluctuation amplitude parameter is as follows:

[0029] Collect the voltage peak vf when the sub-area load is working i And the current valley vg i , and finally obtain the sub-region load current fluctuation amplitude

[0030] Preferably, the mathematical model of the sub-region photovoltaic power generation performance influence coefficient is as follows:

[0031] AM i Refers to the influence coefficient of photovoltaic power generation performance in the sub-region, t i Refers to the light intensity of sub-region i, m irefers to the photovoltaic panel temperature in sub-region i, p i Refers to the output current of the photovoltaic array in sub-region i;

[0032] It should be specifically explained in this embodiment that, in most cases, the output current of the photovoltaic cell is approximately proportional to the light intensity. That is, when the light intensity increases, the output current will also increase accordingly. This relationship can be simplified by the formula: i ≈Bt i , where p i is the output current of the photovoltaic cell, t i is the illuminance (expressed in a specific unit, such as W / m 2 ), B refers to the proportional coefficient used to express the relationship between light intensity and output current. The larger the B value, the higher the conversion efficiency.

[0033] Preferably, the mathematical model of the influence coefficient of the sub-region energy storage system is as follows:

[0034] Among them BM i Refers to the influence coefficient of the sub-region energy storage system, w i Refers to the charging power of the energy storage battery in the i-sub-area, u i Refers to the discharge power of the energy storage battery in sub-region i, v i refers to the energy storage battery voltage in the i-sub-area, l i Refers to the energy storage battery current in the i sub-area, soc i Refers to the SOC value of the energy storage battery in the i sub-region, w1, u i They respectively refer to the average charging and discharging power of this type of energy storage batteries in the industry.

[0035] Preferably, the mathematical model of the sub-region load influence coefficient is as follows:

[0036] Among them, CM i Refers to the sub-area load influence coefficient, g i refers to the load current fluctuation amplitude in the i sub-region, q i refers to the load voltage fluctuation amplitude in the i sub-area, r i It refers to the average working power of the load in sub-area i, and r refers to the rated power of the load.

[0037] Preferably, the mathematical model of the sub-region system performance evaluation comprehensive index is as follows:

[0038] in Refers to the comprehensive index of sub-regional system performance evaluation, AM i Refers to the influence coefficient of photovoltaic power generation performance in the sub-region, BM i Refers to the influence coefficient of the sub-region energy storage system, CM iRefers to the sub-area load influence coefficient, α1, β1, and γ1 refer to the weight coefficients.

[0039] Preferably, the mathematical model of the comprehensive index of the target area system performance evaluation is as follows:

[0040] in Refers to the comprehensive index of system performance evaluation in the target area. Refers to the comprehensive index of sub-regional system effectiveness evaluation.

[0041] Preferably, the preset value is a comprehensive warning value for measuring the efficiency of household photovoltaic-energy storage-load systems based on industry practical experience. When the comprehensive index of the target area system efficiency evaluation in the target area is lower than the preset value, it means that the following function of the photovoltaic energy storage load of the regional system is not effective, and corresponding measures need to be taken to optimize the following function and improve the system efficiency.

[0042] Preferably, when the comparison result of the interactive feedback module is lower than a preset value, the system will trigger an alarm function on the terminal, send a warning signal to the management personnel in the form of sound, vibration and pop-up window, and provide relevant parameters to help the management personnel analyze the reasons affecting the comprehensive index of system performance evaluation in the target area, and further trace back to the specific reasons affecting the following function effect of the photovoltaic energy storage load system, such as low conversion efficiency of the photovoltaic array, poor performance of the energy storage battery, and inability to meet the needs of the load equipment, and provide solutions.

[0043] Technical effects and advantages of the present invention:

[0044] 1. When constructing a multi-dimensional evaluation model, the present invention integrates data from different sensors and systems, such as power generation data of photovoltaic panels, charging and discharging data of energy storage batteries, and real-time demand data of loads, and constructs an evaluation index system containing multiple dimensions, which can better evaluate the effect of the load following function;

[0045] 2. The present invention adopts advanced multi-source data fusion technology to effectively integrate and analyze data from different sensors and systems. Through data fusion, the operating status and performance of the system can be more comprehensively understood, providing strong support for the construction of the evaluation model;

[0046] 3. Based on the evaluation model, the present invention establishes a real-time feedback and optimization mechanism, which monitors the operating status and performance of the system in real time, and timely adjusts the control strategy and optimization parameters of the load following function to ensure that the system always maintains the best operating state. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] As attached Figure 1 A following function control method suitable for household photovoltaic energy storage load is shown, and the specific steps include:

[0050] Step 1: Sub-area division: used to record the photovoltaic energy storage load equipment to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas according to different loads, and mark them as 1, 2, 3...i in sequence;

[0051] Step 2: Sub-region system operation information collection: including photovoltaic equipment operation information collection unit, energy storage equipment operation information collection unit, load information collection unit and system performance information collection unit, which are used to collect data from the sub-region to obtain comprehensive parameters and output the comprehensive parameters to the sub-region system performance evaluation comprehensive analysis step;

[0052] In a preferred technical solution of the present application, the specific method for obtaining the comprehensive parameters of each sub-region in the sub-region system operation information collection step is as follows:

[0053] What needs to be specifically explained in this embodiment is that the comprehensive parameters refer to the sub-area light intensity parameters, the sub-area photovoltaic panel temperature parameters, the sub-area photovoltaic array output current parameters, the sub-area energy storage battery voltage parameters, the sub-area energy storage battery current parameters, the sub-area energy storage battery SOC parameters, the sub-area energy storage battery charging power parameters, the sub-area energy storage battery discharging power parameters, the sub-area load current fluctuation amplitude parameters, the sub-area load voltage fluctuation amplitude parameters, and the sub-area load average working power parameters.

[0054] The sub-region illumination intensity parameter refers to the illumination intensity t of the i sub-region i ;

[0055] The sub-region photovoltaic panel temperature parameter refers to the photovoltaic panel temperature m of the i sub-region i ;

[0056] The sub-region photovoltaic array output current parameter refers to the photovoltaic array output current p of the i sub-region photovoltaic array i ;

[0057] The sub-region energy storage battery voltage parameter refers to the energy storage battery voltage v i ;

[0058] The sub-region energy storage battery current parameter refers to the energy storage battery current l in the sub-region i i ;

[0059] The sub-region energy storage battery SOC parameter refers to the SOC value of the energy storage battery in the i sub-region soc i ;

[0060] The sub-region energy storage battery charging power parameter refers to the energy storage battery charging power w of the i sub-region energy storage battery i ;

[0061] The sub-region energy storage battery discharge power parameter refers to the energy storage battery discharge power u in the i sub-region i ;

[0062] The sub-region load current fluctuation amplitude parameter refers to the load current fluctuation amplitude g of the i sub-region i ;

[0063] The sub-region load voltage fluctuation amplitude parameter refers to the load voltage fluctuation amplitude q of the i sub-region i ;

[0064] The sub-area load average working power parameter refers to the i sub-area load average working power r i ;

[0065] It should be specifically noted in this embodiment that the sub-region light intensity parameter, sub-region photovoltaic panel temperature parameter, sub-region photovoltaic array output voltage parameter, sub-region photovoltaic array output current parameter, sub-region energy storage battery voltage parameter, sub-region energy storage battery current parameter, sub-region energy storage battery SOC parameter, sub-region energy storage battery charging power parameter, sub-region energy storage battery discharging power parameter, and sub-region load average working power parameter are all obtained by conventional methods, such as measuring light intensity by an optical sensor and measuring photovoltaic panel temperature by a temperature sensor, so this embodiment does not specifically limit it;

[0066] It should be specifically explained in this embodiment that the specific collection method of the sub-region load current fluctuation amplitude parameter is as follows:

[0067] Collect the current peak bf when the sub-area load is working i And the current valley bg i , and finally obtain the sub-region load current fluctuation amplitude

[0068] It should be specifically explained in this embodiment that the specific collection method of the sub-region load voltage fluctuation amplitude parameter is as follows:

[0069] Collect the voltage peak vf when the sub-area load is working i And the current valley vg i, and finally obtain the sub-region load current fluctuation amplitude

[0070] Step 3: Comprehensive analysis of sub-region system performance evaluation: used to import and calculate the data collected in the sub-region system operation information collection step to obtain the sub-region photovoltaic power generation performance influence coefficient, sub-region energy storage system influence coefficient, sub-region load influence coefficient and sub-region system performance evaluation comprehensive index;

[0071] It should be specifically explained in this embodiment that the mathematical model of the sub-region photovoltaic power generation performance influence coefficient is as follows:

[0072] AM i Refers to the influence coefficient of photovoltaic power generation performance in the sub-region, t i Refers to the light intensity of sub-region i, m i refers to the photovoltaic panel temperature in sub-region i, p i Refers to the output current of the photovoltaic array in sub-region i;

[0073] It should be specifically explained in this embodiment that, in most cases, the output current of the photovoltaic cell is approximately proportional to the light intensity. That is, when the light intensity increases, the output current will also increase accordingly. This relationship can be simplified by the formula: i ≈Bt i , where p i is the output current of the photovoltaic cell, t i is the illuminance (expressed in a specific unit, such as W / m 2 ), B refers to the proportional coefficient used to express the relationship between light intensity and output current. The larger the B value, the higher the conversion efficiency;

[0074] It should be specifically explained in this embodiment that the mathematical model of the influence coefficient of the sub-region energy storage system is as follows:

[0075] Among them BM i Refers to the influence coefficient of the sub-region energy storage system, w i Refers to the charging power of the energy storage battery in the i-sub-area, u i Refers to the discharge power of the energy storage battery in sub-region i, v i refers to the energy storage battery voltage in the i-sub-area, l i Refers to the energy storage battery current in the i sub-area, soc i Refers to the SOC value of the energy storage battery in the i sub-region, w1, u i Respectively refer to the average charging and discharging power of this type of energy storage battery in the industry;

[0076] It should be specifically explained in this embodiment that the mathematical model of the sub-region load influence coefficient is as follows:

[0077] Among them, CM i Refers to the sub-area load influence coefficient, g i refers to the load current fluctuation amplitude in the i sub-region, q i refers to the load voltage fluctuation amplitude in the i sub-area, r i refers to the average working power of the load in sub-area i, and r refers to the rated power of the load;

[0078] It should be specifically explained in this embodiment that the mathematical model of the sub-region system performance evaluation comprehensive index is as follows:

[0079] in Refers to the comprehensive index of sub-regional system performance evaluation, AM i Refers to the influence coefficient of photovoltaic power generation performance in the sub-region, BM i Refers to the influence coefficient of the sub-region energy storage system, CM i refers to the sub-region load influence coefficient, α1, β1, and γ1 refer to the weight coefficients;

[0080] Step 4: Comprehensive analysis of target area system effectiveness evaluation: used to calculate the data imported in the sub-area system effectiveness evaluation comprehensive analysis step to obtain the target area system effectiveness evaluation comprehensive index;

[0081] It should be specifically explained in this embodiment that the mathematical model of the target area system performance evaluation comprehensive index is as follows:

[0082] in Refers to the comprehensive index of system performance evaluation in the target area. Refers to the comprehensive index of sub-regional system effectiveness assessment;

[0083] Step 5: Comprehensive evaluation of system performance: used to compare the comprehensive index of system performance evaluation in the target area with the preset value, and input the comparison result into the interactive feedback step;

[0084] What needs to be specifically explained in this embodiment is that the preset value is a comprehensive warning value for measuring the efficiency of household photovoltaic-energy storage-load systems based on industry practical experience. When the comprehensive index of the target area system efficiency evaluation in the target area is lower than the preset value, it means that the following function of the photovoltaic energy storage load of the regional system is not effective, and corresponding measures need to be taken to optimize the following function and improve the system efficiency.

[0085] Step 6: Interactive feedback: used to import the comparison results into the administrator terminal. When the comparison result of the comprehensive index of the target area system performance evaluation is lower than the preset value, an alarm will be issued to the administrator's equipment and the reasons affecting the comprehensive index will be traced.

[0086] What needs to be specifically explained in this embodiment is that when the comparison result of the interactive feedback module is lower than the preset value, the system will trigger the alarm function on the terminal, send a warning signal to the management personnel in the form of sound, vibration and pop-up window, and give relevant parameters to help the management personnel analyze the reasons affecting the comprehensive index of system performance evaluation in the target area, and further trace back to the specific reasons affecting the following function effect of the photovoltaic energy storage load system, such as low conversion efficiency of the photovoltaic array, poor performance of the energy storage battery, and inability to meet the needs of the load equipment, and provide solutions.

[0087] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the usual design.

[0088] In the absence of conflict, the same embodiment and different embodiments of the present invention may be combined with each other;

[0089] Finally: 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 in the protection scope of the present invention.

Claims

1. A following function control method suitable for household photovoltaic energy storage load, characterized in that: include: Step 1: Sub-area division: used to record the photovoltaic energy storage load equipment to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas according to different loads, and mark them as 1, 2, 3...i in sequence; Step 2: Sub-region system operation information collection: including photovoltaic equipment operation information collection unit, energy storage equipment operation information collection unit, load information collection unit and system performance information collection unit, which are used to collect data from the sub-region to obtain comprehensive parameters and output the comprehensive parameters to the sub-region system performance evaluation comprehensive analysis step; Step 3: Comprehensive analysis of sub-region system performance evaluation: used to import and calculate the data collected in the sub-region system operation information collection step to obtain the sub-region photovoltaic power generation performance influence coefficient, sub-region energy storage system influence coefficient, sub-region load influence coefficient and sub-region system performance evaluation comprehensive index; Step 4: Comprehensive analysis of target area system effectiveness evaluation: used to calculate the data imported in the sub-area system effectiveness evaluation comprehensive analysis step to obtain the target area system effectiveness evaluation comprehensive index; Step 5: Comprehensive evaluation of system performance: used to compare the comprehensive index of system performance evaluation in the target area with the preset value, and input the comparison result into the interactive feedback step; Step 6: Interactive feedback: used to import the comparison results into the administrator terminal. When the comparison result of the comprehensive index of the target area system performance evaluation is lower than the preset value, an alarm will be issued to the administrator's equipment and the reasons affecting the comprehensive index will be traced.

2. A following function control method suitable for household photovoltaic energy storage load according to claim 1, characterized in that: The specific method for obtaining the comprehensive parameters of each sub-region in the sub-region system operation information collection step is as follows: What needs to be specifically explained in this embodiment is that the comprehensive parameters refer to the sub-area light intensity parameters, the sub-area photovoltaic panel temperature parameters, the sub-area photovoltaic array output current parameters, the sub-area energy storage battery voltage parameters, the sub-area energy storage battery current parameters, the sub-area energy storage battery SOC parameters, the sub-area energy storage battery charging power parameters, the sub-area energy storage battery discharging power parameters, the sub-area load current fluctuation amplitude parameters, the sub-area load voltage fluctuation amplitude parameters, and the sub-area load average working power parameters. The sub-region illumination intensity parameter refers to the illumination intensity t of the i sub-region i ; The sub-region photovoltaic panel temperature parameter refers to the photovoltaic panel temperature m of the i sub-region i ; The sub-region photovoltaic array output current parameter refers to the photovoltaic array output current p of the i sub-region photovoltaic array i ; The sub-region energy storage battery voltage parameter refers to the energy storage battery voltage v i ; The sub-region energy storage battery current parameter refers to the energy storage battery current l in the i sub-region i ; The sub-region energy storage battery SOC parameter refers to the SOC value of the energy storage battery in the i sub-region soc i ; The sub-region energy storage battery charging power parameter refers to the energy storage battery charging power w of the i sub-region energy storage battery i ; The sub-region energy storage battery discharge power parameter refers to the energy storage battery discharge power u in the i sub-region i ; The sub-region load current fluctuation amplitude parameter refers to the load current fluctuation amplitude g of the i sub-region i ; The sub-region load voltage fluctuation amplitude parameter refers to the load voltage fluctuation amplitude q of the i sub-region i ; The sub-area load average working power parameter refers to the i sub-area load average working power r i .

3. According to claim 1, a following function control method suitable for household photovoltaic energy storage loads is characterized in that: The mathematical model of the sub-region photovoltaic power generation performance influence coefficient is as follows: AM i Refers to the influence coefficient of photovoltaic power generation performance in the sub-region, t i Refers to the light intensity of sub-region i, m i refers to the photovoltaic panel temperature in sub-region i, p i Refers to the output current of the photovoltaic array in sub-area i.

4. According to claim 1, a following function control method suitable for household photovoltaic energy storage loads is characterized in that: The mathematical model of the influence coefficient of the sub-region energy storage system is as follows: Among them BM i Refers to the influence coefficient of the sub-region energy storage system, w i Refers to the charging power of the energy storage battery in the i-th sub-region, u i Refers to the discharge power of the energy storage battery in sub-region i, v i refers to the energy storage battery voltage in the i-sub-area, l i Refers to the energy storage battery current in the i sub-area, soc i Refers to the SOC value of the energy storage battery in the i sub-region, w1, u i They respectively refer to the average charging and discharging power of this type of energy storage batteries in the industry.

5. A following function control method suitable for household photovoltaic energy storage load according to claim 1, characterized in that: The mathematical model of the sub-area load influence coefficient is as follows: Among them, CM i Refers to the sub-area load influence coefficient, g i refers to the load current fluctuation amplitude in the i sub-region, q i refers to the load voltage fluctuation amplitude in the i sub-area, r i It refers to the average working power of the load in sub-area i, and r refers to the rated power of the load.

6. A following function control method suitable for household photovoltaic energy storage load according to claim 1, characterized in that: The mathematical model of the sub-region system performance evaluation comprehensive index is as follows: in Refers to the comprehensive index of sub-regional system performance evaluation, AM i Refers to the influence coefficient of photovoltaic power generation performance in the sub-region, BM i Refers to the influence coefficient of the sub-region energy storage system, CM i Refers to the sub-area load influence coefficient, α1, β1, and γ1 refer to the weight coefficients.

7. A following function control method suitable for household photovoltaic energy storage load according to claim 1, characterized in that: The mathematical model of the comprehensive index of the target area system effectiveness evaluation is as follows: in Refers to the comprehensive index of system performance evaluation in the target area. Refers to the comprehensive index of sub-regional system effectiveness evaluation.

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