A Follower Function Control Method Applicable to Residential Photovoltaic Energy Storage Loads

Abstract

This invention discloses a load-following function control method applicable to residential photovoltaic energy storage loads, specifically relating to the field of energy storage system management technology. The method includes sub-region division steps, sub-region system operation information collection steps, sub-region system performance evaluation and comprehensive analysis steps, target area system performance evaluation and comprehensive analysis steps, system performance comprehensive evaluation and judgment steps, and interactive feedback steps. This invention integrates data from different sensors and systems, such as photovoltaic panel power generation data, energy storage battery charging and discharging data, and real-time load demand data, constructing a multi-dimensional evaluation index system to better evaluate the effectiveness of the load-following function. Furthermore, based on the evaluation model, this invention establishes a real-time feedback and optimization mechanism. By monitoring the system's operating status and performance in real time, it adjusts the load-following function's control strategy and optimization parameters in a timely manner, ensuring the system always maintains optimal operating conditions.

Description

Technical Field

[0001] This invention relates to the field of energy storage system management technology, and more specifically, to a follower function control method applicable to residential photovoltaic energy storage loads. Background Technology

[0002] With the increasing severity of global environmental pollution and energy shortages, photovoltaic (PV) power generation technology, as a clean and renewable energy source, has received widespread attention and promotion. In recent years, PV power generation technology has matured, and the cost of PV systems has decreased accordingly, leading to its widespread application globally, especially in the field of residential PV energy storage.

[0003] However, residential 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 precise load tracking has become a technical challenge.

[0004] To address the aforementioned issues, the academic community has proposed a load follower function suitable for residential photovoltaic energy storage loads. By constructing a load follower function, precise control of the output power of the photovoltaic energy storage system can be achieved to meet the real-time demands of the load.

[0005] However, it still has some shortcomings in practical use. For example, the existing technology lacks a model that can accurately and multidimensionally measure the effect of the load follower function. Although the load follower function theoretically provides a means to accurately control 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 in the system, how to build an accurate and multidimensional 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, the embodiments of the present invention provide a follower function control method suitable for residential photovoltaic energy storage loads, which solves the problems mentioned in the background art through the following scheme.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a follower function control method applicable to household photovoltaic energy storage loads, comprising: step 1: sub-region division: the photovoltaic energy storage load device to be monitored is designated as the target monitoring area, the target monitoring area is divided into sub-monitoring areas according to different loads, and sequentially labeled as 1, 2, 3...i;

[0008] Step 2: Sub-region system operation information collection: This includes photovoltaic equipment operation information collection units, energy storage equipment operation information collection units, load information collection units, and system performance information collection units. These units are used to collect data from the sub-region to obtain comprehensive parameters and output these parameters to the sub-region system performance evaluation and comprehensive analysis steps.

[0009] Step 3: Comprehensive Analysis of Sub-region System Performance Evaluation: This step imports and calculates the data collected in the sub-region system operation information collection step to obtain the sub-region photovoltaic power generation performance impact coefficient, sub-region energy storage system impact coefficient, sub-region load impact coefficient, and sub-region system performance evaluation comprehensive index.

[0010] Step 4: Comprehensive Analysis of System Performance Evaluation in the Target Area: This step calculates the comprehensive index of system performance evaluation for the target area by using the data imported from the comprehensive analysis of system performance evaluation in the sub-regions.

[0011] Step 5: Comprehensive System Performance Evaluation: This step compares the comprehensive system performance evaluation index of the target area with the preset value and inputs the comparison result into the interactive feedback step.

[0012] Step 6: Interactive Feedback: This step imports the comparison results into the administrator's terminal. When the comprehensive index comparison result of the system performance evaluation in the target area is lower than the preset value, an alarm will be issued to the administrator's device and the cause of the impact on 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] In this embodiment, it should be specifically explained that the comprehensive parameters refer to the sub-region illuminance parameters, sub-region photovoltaic panel temperature parameters, sub-region photovoltaic array output current parameters, sub-region energy storage battery voltage parameters, sub-region energy storage battery current parameters, sub-region energy storage battery SOC parameters, sub-region energy storage battery charging power parameters, sub-region energy storage battery discharging power parameters, sub-region load current fluctuation amplitude parameters, sub-region load voltage fluctuation amplitude parameters, and sub-region load average operating power parameters.

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

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

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

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

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

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

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

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

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

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

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

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

[0027] The current peak bf of the sub-region load is collected during operation. i and current troughs i Finally, the load current fluctuation amplitude of the sub-region is obtained.

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

[0029] The voltage peak value (vf) of the sub-region load is collected during operation. i and current trough vg i Finally, the load current fluctuation amplitude of the sub-region is obtained.

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

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

[0032] In this embodiment, it should be specifically noted that, in most cases, the output current of a photovoltaic cell is approximately directly proportional to the light intensity. That is, as the light intensity increases, the output current also increases accordingly. This relationship can be simplified as follows: p i ≈Bt i , where p i It is the output current of the photovoltaic cell, t i Illuminance (expressed in a specific unit, such as W / m²) 2 B refers to the proportionality coefficient used to represent the relationship between light intensity and output current. The larger the B value, the higher the conversion efficiency.

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

[0034] Among them BM i Influence coefficient of sub-regional energy storage system, w i Refers to the charging power of the energy storage battery in the i-sub-region, u i The discharge power of the energy storage battery in the i-region refers to the V-region. i The voltage of the energy storage battery in the i-region refers to the voltage of the i-region. i Refers to the current of the energy storage battery in the i-region, soc i Refers to the SOC value of the energy storage battery in sub-region i, w1, u i These refer to the average charging and discharging power of this type of energy storage battery in the industry.

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

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

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

[0038] in The comprehensive index for evaluating the effectiveness of sub-regional systems, AM i The influence coefficient of photovoltaic power generation performance in the sub-region, BM i Influence coefficient of sub-regional energy storage system, CM iThe term refers to the sub-regional load influence coefficient, where α1, β1, and γ1 refer to the weighting coefficients.

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

[0040] in This refers to the comprehensive index for evaluating the system effectiveness of the target area. The comprehensive index for evaluating the system effectiveness of the sub-region.

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

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

[0043] The technical effects and advantages of this invention are as follows:

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

[0045] 2. This invention employs advanced multi-source data fusion technology to effectively integrate and analyze data from different sensors and systems. Through data fusion, a more comprehensive understanding of the system's operating status and performance can be achieved, providing strong support for the construction of evaluation models.

[0046] 3. Based on the evaluation model, this invention establishes a real-time feedback and optimization mechanism. By monitoring the system's operating status and performance in real time, it adjusts the control strategy and optimization parameters of the load following function in a timely manner to ensure that the system always remains in the best operating state. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the overall structure of the present invention. Detailed Implementation

[0048] 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.

[0049] As attached Figure 1 The method shown is a follower function control method suitable for residential photovoltaic energy storage loads, and the specific steps include:

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

[0051] Step 2: Sub-region system operation information collection: This includes photovoltaic equipment operation information collection units, energy storage equipment operation information collection units, load information collection units, and system performance information collection units. These units are used to collect data from the sub-region to obtain comprehensive parameters and output these parameters to the sub-region system performance evaluation and comprehensive analysis steps.

[0052] In the preferred embodiment of this 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] In this embodiment, it should be specifically explained that the comprehensive parameters refer to the sub-region illuminance parameters, sub-region photovoltaic panel temperature parameters, sub-region photovoltaic array output current parameters, sub-region energy storage battery voltage parameters, sub-region energy storage battery current parameters, sub-region energy storage battery SOC parameters, sub-region energy storage battery charging power parameters, sub-region energy storage battery discharging power parameters, sub-region load current fluctuation amplitude parameters, sub-region load voltage fluctuation amplitude parameters, and sub-region load average operating power parameters.

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

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

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

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

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

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

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

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

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

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

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

[0065] It should be specifically noted in this embodiment that the sub-region illuminance parameters, sub-region photovoltaic panel temperature parameters, sub-region photovoltaic array output voltage parameters, sub-region photovoltaic array output current parameters, sub-region energy storage battery voltage parameters, sub-region energy storage battery current parameters, sub-region energy storage battery SOC parameters, sub-region energy storage battery charging power parameters, sub-region energy storage battery discharging power parameters, and sub-region load average operating power parameters are all obtained using conventional methods, such as measuring illuminance using optical sensors and measuring photovoltaic panel temperature using temperature sensors. Therefore, this embodiment does not impose specific limitations.

[0066] In this embodiment, it should be specifically explained that the specific method for collecting the load current fluctuation amplitude parameter of the sub-region is as follows:

[0067] The current peak bf of the sub-region load is collected during operation. i and current troughs i Finally, the load current fluctuation amplitude of the sub-region is obtained.

[0068] In this embodiment, it should be specifically explained that the specific method for collecting the load voltage fluctuation amplitude parameter of the sub-region is as follows:

[0069] The voltage peak value (vf) of the sub-region load is collected during operation. i and current trough vg iFinally, the load current fluctuation amplitude of the sub-region is obtained.

[0070] Step 3: Comprehensive Analysis of Sub-region System Performance Evaluation: This step imports and calculates the data collected in the sub-region system operation information collection step to obtain the sub-region photovoltaic power generation performance impact coefficient, sub-region energy storage system impact coefficient, sub-region load impact coefficient, and sub-region system performance evaluation comprehensive index.

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

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

[0073] In this embodiment, it should be specifically noted that, in most cases, the output current of a photovoltaic cell is approximately directly proportional to the light intensity. That is, as the light intensity increases, the output current also increases accordingly. This relationship can be simplified as follows: p i ≈Bt i , where p i It is the output current of the photovoltaic cell, t i Illuminance (expressed in a specific unit, such as W / m²) 2 B refers to the proportionality coefficient used to represent the relationship between light intensity and output current. The larger the B value, the higher the conversion efficiency.

[0074] In this embodiment, it should be specifically explained that the mathematical model for the influence coefficient of the sub-regional energy storage system is as follows:

[0075] Among them BM i Influence coefficient of sub-regional energy storage system, w i Refers to the charging power of the energy storage battery in the i-sub-region, u i The discharge power of the energy storage battery in the i-region refers to the V-region. i The voltage of the energy storage battery in the i-region refers to the voltage of the i-region. i Refers to the current of the energy storage battery in the i-region, soc i Refers to the SOC value of the energy storage battery in sub-region i, w1, u i These refer to the average charging and discharging power of this type of energy storage battery in the industry, respectively.

[0076] In this embodiment, it should be specifically explained that the mathematical model for the sub-region load influence coefficient is as follows:

[0077] Among them CM i The sub-region load influence coefficient, g i The load current fluctuation amplitude in sub-region i, q i The voltage fluctuation range of the load in sub-region i, r i i refers to the average operating power of the load in sub-region i, and r refers to the rated power of the load.

[0078] In this embodiment, it should be specifically explained that the mathematical model for the comprehensive index of sub-region system effectiveness evaluation is as follows:

[0079] in The comprehensive index for evaluating the effectiveness of sub-regional systems, AM i The influence coefficient of photovoltaic power generation performance in the sub-region, BM i Influence coefficient of sub-regional energy storage system, CM i The sub-region load influence coefficient refers to the weighting coefficients α1, β1, and γ1.

[0080] Step 4: Comprehensive Analysis of System Performance Evaluation in the Target Area: This step calculates the comprehensive index of system performance evaluation for the target area by using the data imported from the comprehensive analysis of system performance evaluation in the sub-regions.

[0081] In this embodiment, it should be specifically explained that the mathematical model for the comprehensive index of system effectiveness evaluation in the target area is as follows:

[0082] in This refers to the comprehensive index for evaluating the system effectiveness of the target area. The comprehensive index for evaluating the system effectiveness of the sub-region;

[0083] Step 5: Comprehensive System Performance Evaluation: This step compares the comprehensive system performance evaluation index of the target area with the preset value and inputs the comparison result into the interactive feedback step.

[0084] In this embodiment, it should be specifically noted that the preset value is a comprehensive warning value for measuring the performance of a residential photovoltaic-energy storage-load system, obtained based on industry practical experience. When the comprehensive index of the target area system performance evaluation is lower than the preset value, it indicates that the effect of the photovoltaic energy storage load following function of the system in that area is not good, and corresponding measures need to be taken to optimize the following function and improve the system performance.

[0085] Step 6: Interactive Feedback: This step imports the comparison results into the administrator's terminal. When the comprehensive index comparison result of the system performance evaluation in the target area is lower than the preset value, an alarm will be issued to the administrator's device and the cause of the impact on the comprehensive index will be traced.

[0086] In this embodiment, it should be specifically noted that when the comparison result is lower than the preset value, the interactive feedback module will trigger an alarm function on the terminal, sending a warning signal to the management personnel through sound, vibration and pop-up window and providing 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 the specific reasons affecting the follow function effect of the photovoltaic energy storage load system, such as low photovoltaic array conversion efficiency, poor performance of energy storage batteries and inability to meet the needs of load equipment, and provide solutions.

[0087] Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve structures relevant to the embodiments of this disclosure; other structures can be referenced from general designs.

[0088] Where there is no conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0089] 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. A follower function control method suitable for residential photovoltaic energy storage loads, characterized in that, include: Step 1: Sub-region division: This is used to define the photovoltaic energy storage load devices to be monitored as the target monitoring area, and to divide the target monitoring area into sub-monitoring areas according to different loads, and label them as 1, 2, 3...i in sequence; Step 2: Sub-region system operation information collection: This includes photovoltaic equipment operation information collection units, energy storage equipment operation information collection units, load information collection units, and system performance information collection units. These units are used to collect data from the sub-region to obtain comprehensive parameters and output these parameters to the sub-region system performance evaluation and comprehensive analysis steps. The comprehensive parameters refer to the following parameters: sub-region illuminance, sub-region photovoltaic panel temperature, sub-region photovoltaic array output current, sub-region energy storage battery voltage, sub-region energy storage battery current, sub-region energy storage battery SOC, sub-region energy storage battery charging power, sub-region energy storage battery discharging power, sub-region load current fluctuation amplitude, sub-region load voltage fluctuation amplitude, and sub-region load average operating power. The sub-region illumination intensity parameter refers to the i-region illumination intensity t u ; The photovoltaic panel temperature parameter of the sub-region refers to the photovoltaic panel temperature of the i-region. i ; The sub-region photovoltaic array output current parameter refers to the i-region photovoltaic array output current p i ; The sub-region energy storage battery voltage parameter refers to the sub-region energy storage battery voltage v. i ; The sub-region energy storage battery current parameter refers to the sub-region energy storage battery current l i ; The SOC parameter of the sub-region energy storage battery refers to the SOC value (soc) of the sub-region energy storage battery. i ; The sub-region energy storage battery charging power parameter refers to the sub-region energy storage battery charging power (w). i ; The discharge power parameter of the sub-region energy storage battery refers to the discharge power u of the sub-region energy storage battery. i ; The sub-region load current fluctuation amplitude parameter refers to the sub-region load current fluctuation amplitude g. i ; The sub-region load voltage fluctuation amplitude parameter refers to the sub-region load voltage fluctuation amplitude q. i ; The sub-region load average operating power parameter refers to the sub-region load average power r i ; Step 3: Comprehensive Analysis of Sub-region System Performance Evaluation: This step imports and calculates the data collected in the sub-region system operation information collection step to obtain the sub-region photovoltaic power generation performance impact coefficient, sub-region energy storage system impact coefficient, sub-region load impact coefficient, and sub-region system performance evaluation comprehensive index. The mathematical model for the influence coefficient of photovoltaic power generation performance in the sub-region is as follows: AM i The influence coefficient of photovoltaic power generation performance in the sub-region, t i The light intensity of sub-region i, m i The temperature of the photovoltaic panel in region i, p i The output current of the photovoltaic array in sub-region i; The mathematical model for the influence coefficient of the sub-regional energy storage system is as follows: Among them BM i Influence coefficient of sub-regional energy storage system, w i Refers to the charging power of the energy storage battery in the i-sub-region, u i The discharge power of the energy storage battery in the i-region refers to the V-region. i The voltage of the energy storage battery in the i-region refers to the voltage of the i-region. i Refers to the current of the energy storage battery in the i-region, soc i The i-th sub-region's SOC value of the energy storage battery refers to the SOC value of the energy storage battery, while w1 and u1 refer to the average charging and discharging power of the energy storage battery in the industry, respectively. The mathematical model for the sub-region load influence coefficient is as follows: Among them CM i The sub-region load influence coefficient, g i The load current fluctuation amplitude in sub-region i, q i The voltage fluctuation range of the load in sub-region i, r i i refers to the average operating power of the load in sub-region i, and r refers to the rated power of the load. The mathematical model for the comprehensive index of sub-region system effectiveness evaluation is as follows: in The comprehensive index for evaluating the effectiveness of sub-regional systems, AM i The influence coefficient of photovoltaic power generation performance in the sub-region, BM i Influence coefficient of sub-regional energy storage system, CM i The sub-region load influence coefficient refers to the weighting coefficients α1, β1, and γ1. Step 4: Comprehensive Analysis of System Performance Evaluation in the Target Area: This step calculates the comprehensive index of system performance evaluation for the target area by using the data imported from the comprehensive analysis of system performance evaluation in the sub-regions. The mathematical model for the comprehensive index of system effectiveness evaluation in the target area is as follows: in This refers to the comprehensive index for evaluating the system effectiveness of the target area. The comprehensive index for evaluating the system effectiveness of the sub-region; Step 5: Comprehensive System Performance Evaluation: This step compares the comprehensive system performance evaluation index of the target area with the preset value and inputs the comparison result into the interactive feedback step. Step 6: Interactive Feedback: This step imports the comparison results into the administrator terminal. When the comprehensive index comparison result of the system performance evaluation of the target area is lower than the preset value, an alarm will be issued to the administrator's equipment, and the specific reasons affecting the follow function effect of the photovoltaic energy storage load system will be traced further.

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