Energy storage system for performance evaluation

Abstract

The invention relates to the technical field of energy storage, in particular to an energy storage system for efficiency evaluation. The system comprises an influence matching priority definition module and an energy storage prediction module. Data information of a detection node is collected in real time through an energy storage prediction module, the energy storage capacity in different time periods in the solar power generation process is predicted in combination with the influence of a single influence condition or multiple influences on the solar power generation efficiency, and the influence condition matching state is obtained through an influence matching priority definition module; and calculating the priorities in the matching influence conditions, matching the processing sequence of the corresponding solutions according to the sequence of the priorities, and recovering the solar power generation energy storage amount within the shortest processing time.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to an energy storage system for performance evaluation. Background Art

[0002] Since the energy people need is highly temporal and spatial, in order to rationally utilize energy and improve energy utilization, a device is needed to collect and store excess energy that is temporarily unused for a period of time, and then extract and use it during peak usage, or transport it to places where energy is scarce for use. This method is energy storage, and the system that detects this energy storage device is an energy storage system.

[0003] Common energy supplies include thermal power generation, hydropower generation and solar power generation. With the popularization of environmentally friendly power generation projects, the use of solar power generation has increased year by year. However, since solar power generation requires solar panels to be deployed outdoors, and most solar panels need to be placed in uninhabited areas to ensure large-scale control, there are also many factors that affect solar power generation, such as light intensity, shading area, and surface cleanliness. These influencing factors will affect the efficiency of solar power generation. Therefore, in order to ensure the normal operation of power supply, it is necessary not only to ensure a sufficient number of solar power generation devices, but also to detect the operating status of the overall process and predict the solar power storage energy in different time periods in real time.

[0004] Traditional detection systems for solar power generation processes mainly use a single data collection method, that is, using different detection equipment to conduct real-time detection of the influencing conditions in the solar power generation process, obtain corresponding detection data, evaluate the solar power generation efficiency through the detection data, and finally predict the corresponding storage energy, and formulate corresponding processing methods to improve the current impact. However, due to the actual operation process, multiple influencing conditions are triggered at the same time, such as light intensity and temperature. At this time, if a processing method needs to be formulated, it is necessary to improve the above two influencing conditions. However, in actual situations, it takes a lot of time to process a single influencing condition in a large-scale solar power generation area, such as cleaning the surface of solar panels. Therefore, when multiple influencing conditions are triggered at the same time, it is necessary to provide corresponding processing methods and determine the processing priority to restore the storage energy of solar power generation in the shortest time.

[0005] In order to address the above problems, an energy storage system for performance evaluation is urgently needed. Summary of the invention

[0006] The object of the present invention is to provide an energy storage system for performance evaluation to solve the problems raised in the above background technology.

[0007] To achieve the above-mentioned purpose, an energy storage system for performance evaluation is provided, comprising a detection node data acquisition module, an impact condition definition module, an performance impact value range evaluation module, an impact collocation priority definition module and an energy storage capacity prediction module;

[0008] The detection node data acquisition module is configured with detection equipment in accordance with the solar power generation industry standard to obtain data information of the corresponding detection nodes during the solar power generation process;

[0009] The influencing condition definition module collects the solar power generation conversion process and defines the influencing conditions on power generation and energy storage in the overall process;

[0010] The efficiency impact value range evaluation module combines various impact conditions and data information of corresponding detection nodes to obtain the impact of values ​​of different ranges under a single impact condition on the solar power generation efficiency, and evaluates the solar power generation efficiency;

[0011] The influence matching priority definition module combines the historical data of solar power generation to obtain the matching status of the influence conditions, calculates the priorities of the matching influence conditions, and obtains the influence of the combined effect of multiple influence conditions on the solar power generation efficiency;

[0012] The energy storage prediction module collects data information of the detection nodes in real time, combines the influence of a single influencing condition or multiple influencing conditions on the solar power generation efficiency, processes them in order according to the priority of the matching influencing conditions, and predicts the energy storage recovery amount under the corresponding state.

[0013] As a further improvement of the technical solution, the method for obtaining data information of corresponding detection nodes in the solar power generation process in the detection node data acquisition module includes the following steps:

[0014] S1. Locate the locations of various testing equipment and mark them according to the test type;

[0015] S2. Collect test data and sample information within the industry to obtain the values ​​corresponding to different test states of influencing conditions;

[0016] S3. Establish an influencing condition value matching database to store different types of influencing conditions and the values ​​corresponding to their different detection states.

[0017] As a further improvement of the technical solution, the influencing conditions in the influencing condition definition module include light intensity, climate conditions, surface cleanliness status, temperature range, installation status and line damage status.

[0018] As a further improvement of the technical solution, the method for evaluating the solar power generation efficiency by the efficiency impact value range evaluation module comprises the following steps:

[0019] S10. Combine the historical detection values ​​of the influencing conditions to obtain the detection value with the highest frequency of each influencing condition in the detection area, and mark it as the normal detection value Nd value ;

[0020] S20, define the unit detection change value Ud value ;

[0021] S30, adopt the principle of single variable change, and detect the change value Ud according to the unit value Perform normal detection value Nd value Decreasing or increasing;

[0022] S40. Obtain energy storage change value ranges corresponding to different change amounts through energy storage detection equipment, and bind the current influencing condition type and the corresponding detection value.

[0023] As a further improvement of the technical solution, the method for obtaining the influencing condition collocation status in the influencing collocation priority definition module includes the following steps:

[0024] S100, normal detection value Nd combined with various influencing conditions value And the corresponding energy storage change value range, define the energy storage change threshold Es threshold ;

[0025] S200, obtain the energy storage change value range exceeding the energy storage change threshold Es threshold The detection value corresponding to the influencing condition is marked as the abnormal detection value Ad value ;

[0026] S300, setting a unit detection time T0, obtaining the energy storage change value range that exceeds the energy storage change threshold Es within the unit detection time T0 threshold The corresponding abnormal detection value Ad value , and bind the current exception affecting conditions.

[0027] As a further improvement of the technical solution, the method for calculating the priorities of each item in the collocation influencing condition in the collocation influencing priority definition module comprises the following steps:

[0028] S400, formulate a single adjustment rule based on the bound abnormal impact condition, and perform abnormal detection value Ad on the single abnormal impact condition value Adjust and restore to the normal detection value Nd value ;

[0029] S500, statistics on each abnormal influence condition single adjustment method, collect the energy storage change difference Es before and after adjustment difference ;

[0030] S600, compare the energy storage change difference Es corresponding to each single adjustment method difference ;

[0031] S700, according to the energy storage change difference Es difference Priorities are assigned in proportional order, and a database of influencing conditions and priorities is generated by binding.

[0032] As a further improvement of the technical solution, the method for predicting the energy storage in different time periods during the solar power generation process in the energy storage prediction module includes the following steps:

[0033] S1000, respond to the current energy storage change value range exceeding the energy storage change threshold Es threshold Status: obtain the corresponding abnormal impact conditions by detecting the real-time data information of the node;

[0034] S2000, obtaining the current abnormal influencing condition matching mode, and combining it with the influencing condition matching priority database to obtain the processing priority of each abnormal influencing condition;

[0035] S3000. Predict processing results in different states based on processing priorities.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] In the energy storage system for performance evaluation, the data information of the detection nodes is collected in real time through the energy storage prediction module, and the impact of a single influencing condition or multiple influencing conditions on the solar power generation efficiency is combined to predict the energy storage in different time periods during the solar power generation process. The influencing condition matching state is obtained through the influence matching priority definition module, and the priorities of each item in the matching influencing condition are calculated. The processing order of the corresponding solution is matched according to the priority order, and the solar power generation storage capacity is restored in the shortest processing time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is the overall structure flow chart of the present invention;

[0039] Figure 2 It is the overall detection workflow diagram of the present invention.

[0040] The meaning of each number in the figure is:

[0041] 10. Detection node data acquisition module;

[0042] 20. Influencing condition definition module;

[0043] 30. Efficiency impact numerical range evaluation module;

[0044] 40. Influence matching priority definition module;

[0045] 50. Energy storage capacity prediction module. DETAILED DESCRIPTION

[0046] The following will be combined with the accompanying drawings in 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.

[0047] See also Figure 1 As shown, an energy storage system for performance evaluation is provided, including a detection node data acquisition module 10, an impact condition definition module 20, an performance impact value range evaluation module 30, an impact collocation priority definition module 40 and an energy storage prediction module 50;

[0048] Among them, the detection node data acquisition module 10 is configured with detection equipment in combination with the solar power generation industry standard to obtain data information of the corresponding detection nodes during the solar power generation process;

[0049] The influencing condition definition module 20 collects the solar power generation conversion process and defines the influencing conditions on power generation and energy storage in the overall process;

[0050] The efficiency impact value range evaluation module 30 combines various impact conditions and data information of corresponding detection nodes to obtain the impact of values ​​of different ranges under a single impact condition on the solar power generation efficiency, and evaluates the solar power generation efficiency;

[0051] The influence matching priority definition module 40 combines the historical data of solar power generation, obtains the matching status of the influence conditions, calculates the priorities of the matching influence conditions, and obtains the influence of the combined effect of multiple influence conditions on the solar power generation efficiency;

[0052] The energy storage prediction module 50 collects data information of the detection nodes in real time, combines the influence of a single influencing condition or multiple influencing conditions on the solar power generation efficiency, processes them in order according to the priority of the matching influencing conditions, and predicts the energy storage recovery amount under the corresponding state.

[0053] During specific use, in the process of predicting the energy storage during solar power generation, due to the different factors that produce different influencing conditions, the corresponding detection methods will also be quite different, and the detection locations are also different. Therefore, it is necessary to configure the detection equipment in advance through the detection node data acquisition module 10 in combination with the solar power generation industry standard to obtain the data information of the corresponding detection nodes in the solar power generation process. For example, by configuring video monitoring equipment in the solar laying area, the status information of the surface of each solar panel can be obtained in real time to determine whether it is contaminated with dust. The corresponding detection methods for different influencing conditions are different. It is necessary to collect the solar power generation conversion process through the influencing condition definition module 20 to define the influencing conditions on power generation and energy storage in the overall process, that is, the solar power generation efficiency changes due to changes in its value or state. These influencing methods are all defined as influencing conditions, such as light intensity, temperature, and line damage area.

[0054] Since the changes in the values ​​or states of different influencing conditions have different effects on the solar power generation efficiency, when the influencing condition is triggered alone, that is, the other influencing conditions are within the normal range, it is necessary to combine the various influencing conditions and the data information of the corresponding detection nodes through the efficiency impact value range evaluation module 30 to obtain the impact of the values ​​of different ranges under the single influencing condition on the solar power generation efficiency, and evaluate the solar power generation efficiency, that is, to obtain the data of the detection node through the corresponding detection equipment, and combine the storage capacity change of the entire energy storage system during the collection time period, to obtain the impact of the current single influencing condition value or state on the solar power generation efficiency;

[0055] When multiple influencing conditions are triggered at the same time, the impact of different influencing conditions on the solar power generation efficiency cannot be determined by superposition. This is because when multiple influencing conditions are triggered at the same time, the scope and value of the impact are multiplied. At this time, it is necessary to use the influence matching priority definition module 40 to combine the historical data of solar power generation, obtain the matching status of the influencing conditions, calculate the priority of each item in the matching influencing conditions, and obtain the impact of multiple influencing conditions on the solar power generation efficiency. That is, give priority to the influencing conditions with higher priorities. Finally, the data information of the detection node is collected in real time through the energy storage prediction module 50, combined with the impact of a single influencing condition or multiple influencing conditions on the solar power generation efficiency, and processed in sequence according to the priority of the matching influencing conditions, and the energy storage recovery amount under the corresponding state is predicted.

[0056] In addition, the method for acquiring data information of corresponding detection nodes in the solar power generation process in the detection node data acquisition module 10 includes the following steps:

[0057] S1. Locate the locations of various testing equipment and mark them according to the test type;

[0058] S2. Collect test data and sample information within the industry to obtain the values ​​corresponding to different test states of influencing conditions;

[0059] S3. Establish an influencing condition value matching database to store different types of influencing conditions and the values ​​corresponding to their different detection states.

[0060] During specific use, in the process of obtaining data information of the detection node, it is first necessary to locate the position of each detection equipment, mark it according to the detection type, and collect detection data and sample information in the industry as a basis for subsequent comparison, and obtain the numerical values ​​corresponding to different detection states of the influencing conditions. For example, for the detection of the amount of dust on the surface of the solar panel, a video monitoring device can be used to capture the surface image of the solar panel in real time, and by comparing the percentage of dust adhesion area, it is used as the numerical value of the influencing condition of the current solar panel surface cleaning state. Finally, an influencing condition numerical matching database is established to store different types of influencing conditions and the corresponding numerical values ​​of their different detection states. For example, when the light intensity is in the range of [g1, g2] and other influencing conditions remain unchanged, the corresponding detection state is weak light.

[0061] Furthermore, the influencing conditions in the influencing condition definition module 20 include light intensity, climate conditions, surface cleanliness status, temperature range, installation status, and line damage status.

[0062] Among them, light intensity is the primary factor affecting photovoltaic power generation efficiency. The stronger the light, the more solar energy the photovoltaic module can capture and the more electricity it can generate. During the detection process, the detection nodes are deployed in the solar panel laying area. The detection equipment can use a pyranometer, photoelectric sensor or light intensity meter. For example, a photoelectric sensor uses the photoelectric effect to convert light signals into electrical signals for measurement. It contains a solar cell, and the current generated is proportional to the light intensity. By measuring the current, the light intensity is calculated.

[0063] Climate conditions have a significant impact on photovoltaic power generation. Rainy or foggy weather will weaken solar radiation and reduce photovoltaic power generation. When the weather is clear and the solar radiation is strong, the power generation will increase. The detection node can directly use the detection position of the nearby meteorological station, and use the detection data obtained by the meteorological station as the detection value of the current influencing conditions.

[0064] The surface cleanliness status refers to the cleanliness of the solar panel surface. Dust and dirt on the surface of the solar panel will hinder the absorption of sunlight and affect the power generation efficiency. The detection node captures the surface image of the solar panel through the deployed camera equipment, obtains the area of ​​dust and dirt adhered to its surface, and obtains the corresponding dust and dirt area ratio through comparison as the detection value of the current influencing condition.

[0065] Temperature range is an important factor affecting photovoltaic power generation. Within a certain range, rising temperature will promote the power generation efficiency of photovoltaic modules, but too high temperature will cause the performance of modules to decline and affect the power generation. Therefore, maintaining the solar panels within a suitable operating temperature range is the key to improving power generation efficiency. The detection node is the temperature sensor deployed on the solar panel, and the real-time temperature data of the temperature sensor is used as the detection value of the current influencing condition.

[0066] The installation status refers to the installation direction and installation angle of the solar panel. A reasonable installation angle and direction can ensure that the photovoltaic panel receives the most sunlight during the day, thereby increasing the power generation. Since the installation direction and installation angle of the solar panel are determined after installation and the change is small, the corresponding detection value is obtained through direct measurement.

[0067] Line damage status includes resistance loss and inductance loss, which will cause the loss of electric energy during transmission. The detection nodes are the resistance detection equipment and inductance detection equipment deployed in the power transmission line. The corresponding detection data is the detection value of the current influencing conditions.

[0068] Furthermore, the method for evaluating the solar power generation efficiency by the efficiency impact value range evaluation module 30 includes the following steps:

[0069] S10. Combine the historical detection values ​​of the influencing conditions to obtain the detection value with the highest frequency of each influencing condition in the detection area, and mark it as the normal detection value Nd value ;

[0070] S20, define the unit detection change value Ud value ;

[0071] S30, adopt the principle of single variable change, and detect the change value Ud according to the unit value Perform normal detection value Nd value Decreasing or increasing;

[0072] S40. Obtain energy storage change value ranges corresponding to different change amounts through energy storage detection equipment, and bind the current influencing condition type and the corresponding detection value.

[0073] When used specifically, in the process of evaluating the efficiency of solar power generation, it is first necessary to combine the historical detection values ​​of the influencing conditions, that is, to obtain the values ​​of the corresponding influencing conditions through various detection equipment, and obtain the detection values ​​with the highest frequency of each influencing condition in the detection area, which are marked as the normal detection value Nd. value For example, for the temperature range, during the detection period, the highest frequency of sunlight temperature is w1. At this time, w1 is the normal detection value Nd corresponding to the influencing condition of the temperature range. value,It is worth explaining that the variation range of sunshine temperature within a day is high, so in the value ,process, the temperature with the longest duration is marked as the ideal temperature of the day;

[0074] Complete normal detection value Nd value After obtaining the work, it is necessary to define the unit detection change value Ud value Since different influencing conditions have different corresponding value change ranges, such as light intensity and installation status, it is necessary to define the unit detection change value Ud in combination with the value change range of the actual influencing conditions. value The present invention adopts the average value change value. For example, the temperature change range is 12℃-22℃, and the sunshine time in the solar paving area is 10h. At this time, the corresponding unit detection change value

[0075] In order to reduce the impact of other influencing conditions on the current influencing conditions, it is necessary to adopt the single variable change principle during the experiment and detect the change value Ud according to the unit value Perform normal detection value Nd value Decrease or increase, that is, the detection value of the current influencing condition is changed by unit detection value Ud value changes, and the other influencing conditions are the corresponding normal detection values ​​Nd value , treated as irrelevant variables, and finally, the energy storage change value range corresponding to different changes is obtained through the energy storage detection equipment, and the current influencing condition type and the corresponding detection value are bound.

[0076] Specifically, the method for obtaining the influencing condition collocation status in the influencing collocation priority definition module 40 includes the following steps:

[0077] S100, normal detection value Nd combined with various influencing conditions value And the corresponding energy storage change value range, define the energy storage change threshold Es threshold ;

[0078] S200, obtain the energy storage change value range exceeding the energy storage change threshold Es threshold The detection value corresponding to the influencing condition is marked as the abnormal detection value Ad value ;

[0079] S300, setting a unit detection time T0, obtaining the energy storage change value range that exceeds the energy storage change threshold Es within the unit detection time T0 threshold The corresponding abnormal detection value Ad value , and bind the current exception affecting conditions.

[0080] In addition, the method for calculating the priorities of each item in the collocation influencing condition in the collocation influencing priority definition module 40 includes the following steps:

[0081] S400, formulate a single adjustment rule based on the bound abnormal impact condition, and perform abnormal detection value Ad on the single abnormal impact condition value Adjust and restore to the normal detection value Nd value ;

[0082] S500, statistics on each abnormal influence condition single adjustment method, collect the energy storage change difference Es before and after adjustment difference ;

[0083] S600, compare the energy storage change difference Es corresponding to each single adjustment method difference ;

[0084] S700, according to the energy storage change difference Es difference Priorities are assigned in proportional order, and a database of influencing conditions and priorities is generated by binding.

[0085] In specific use, in most cases, more than two influencing conditions will appear at the same time. For example, the temperature range and light intensity generally appear at the same time. This is because the higher the light intensity, the greater the heat received by the corresponding solar panel. At this time, although the corresponding power generation will increase, that is, the energy storage will increase, but when the light intensity reaches a certain value, its power generation will tend to saturation. When the solar panel is exposed to light conditions, the temperature of its components will continue to rise, resulting in a decrease in light energy conversion efficiency, that is, the power generation will decrease. In order to obtain the matching rules of different combinations of influencing conditions, it is necessary to combine the normal detection value Nd of each influencing condition. value And the corresponding energy storage change value range, define the energy storage change threshold Es threshold It is worth noting that the normal detection value Nd value The corresponding storage capacity is not the highest, but because the consumption of the energy supply area needs to be based on the normal detection value Nd value The corresponding storage capacity is determined, that is, the normal power generation of the current power generation area determines the consumption of the functional area. Only when the storage capacity is lower than the storage change threshold Es threshold When the energy storage change value range exceeds the energy storage change threshold Es, the influencing condition adjustment is required. threshold The detection value corresponding to the influencing condition is marked as the abnormal detection value Ad value , after an abnormality occurs, obtain the abnormality detection value Ad of the corresponding influencing condition value , set the unit detection time T0, obtain the energy storage change value range that exceeds the energy storage change threshold Es within the unit detection time T0 threshold The corresponding abnormal detection value Ad value, and bind the current abnormal influencing conditions. For example, in a certain abnormal situation, the influencing conditions of the abnormality are line damage status, surface cleaning status and installation status. The combination of these three conditions often occurs in windy and sandy weather conditions. A large amount of dust adheres to the surface of the corresponding solar panels. The installation position or installation angle of some solar panels is changed due to the influence of wind. At the same time, the airflow damages the lines in the power generation area. At this time, the three influencing conditions are matched;

[0086] Since there are different ways to handle abnormal influencing conditions in the later stage, and both require human and material resources, and the order of processing is different, the final resolution efficiency and effect will also be affected. Therefore, in order to obtain the processing priority under different influencing conditions, it is first necessary to combine the bound abnormal influencing conditions, formulate a single adjustment rule, and perform abnormal detection value Ad on the single abnormal influencing condition. value Adjust and restore to the normal detection value Nd value In the experiment, the abnormal detection value Ad is the current target abnormality affecting the condition value Adjust and restore to the normal detection value Nd value , the other abnormal influencing conditions maintain the abnormal detection value Ad value unchanged, and obtain the adjusted energy storage change difference Es difference , and compare the energy storage change difference Es corresponding to each single adjustment method difference , energy storage change difference Es difference The larger it is, that is, the closer the processed energy storage is to the energy storage change value range, which means that the abnormal impact condition has a higher priority for processing and the corresponding processing effect is better.

[0087] Furthermore, the method for predicting the energy storage in different time periods during the solar power generation process in the energy storage prediction module 50 includes the following steps:

[0088] S1000, respond to the current energy storage change value range exceeding the energy storage change threshold Es threshold Status: obtain the corresponding abnormal impact conditions by detecting the real-time data information of the node;

[0089] S2000, obtaining the current abnormal influencing condition matching mode, and combining it with the influencing condition matching priority database to obtain the processing priority of each abnormal influencing condition;

[0090] S3000. Predict processing results in different states based on processing priorities.

[0091] In specific use, due to the actual detection of energy storage, it is necessary to determine whether it is in an abnormal state through data feedback from the energy storage end, such as Figure 2 As shown, the overall detection process is as follows:

[0092] First, by responding to the current energy storage change value range to break through the energy storage change threshold Es threshold State, that is, when energy storage abnormality occurs, the corresponding abnormal influencing conditions are obtained by detecting the real-time data information of the node, and then the number of abnormal influencing conditions is determined. When it is a single abnormal detection value, there is no need to consider the processing priority of the abnormal influencing conditions corresponding to the abnormal detection value, that is, directly process it. When it exceeds the single abnormal detection value, it is necessary to use a single adjustment method to obtain the energy storage change difference Es after adjusting each single abnormal influencing condition. difference , by comparing the energy storage change difference Es difference The size is used as the priority order of the corresponding abnormal impact conditions, that is, the energy storage change difference Es difference The larger the value, the earlier the corresponding processing order. Finally, the processing results under different states are predicted by combining the processing priority, that is, the energy storage change difference Es in a single adjustment method difference , predicting the amount of energy storage after processing a single abnormal impact condition in order of priority.

[0093] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An energy storage system for performance evaluation, characterized in that: It includes a detection node data collection module (10), an impact condition definition module (20), an efficiency impact value range evaluation module (30), an impact matching priority definition module (40) and an energy storage prediction module (50); The detection node data acquisition module (10) is configured with detection equipment in accordance with the solar power generation industry standard to obtain data information of the corresponding detection node during the solar power generation process; The influencing condition definition module (20) collects the solar power generation conversion process and defines the influencing conditions on power generation and energy storage in the overall process; The efficiency impact value range evaluation module (30) combines various impact conditions and data information of corresponding detection nodes to obtain the impact of values ​​of different ranges under a single impact condition on the solar power generation efficiency, and evaluates the solar power generation efficiency; The influence matching priority definition module (40) combines the historical data of solar power generation to obtain the matching status of the influence conditions, calculates the priorities of the matching influence conditions, and obtains the influence of the combined effect of multiple influence conditions on the solar power generation efficiency; The energy storage prediction module (50) collects data information of the detection node in real time, combines the influence of a single influencing condition or multiple influencing conditions on the solar power generation efficiency, processes them in order according to the priority of the matching influencing conditions, and predicts the energy storage recovery amount under the corresponding state.

2. The energy storage system for performance evaluation according to claim 1, characterized in that: The method for acquiring data information of corresponding detection nodes in the detection node data acquisition module (10) during solar power generation comprises the following steps: S1. Locate the locations of various testing equipment and mark them according to the test type; S2. Collect test data and sample information within the industry to obtain the values ​​corresponding to different test states of influencing conditions; S3. Establish an influencing condition value matching database to store different types of influencing conditions and the values ​​corresponding to their different detection states.

3. The energy storage system for performance evaluation according to claim 1, characterized in that: The influencing conditions in the influencing condition definition module (20) include light intensity, climate conditions, surface cleanliness status, temperature range, installation status and line damage status.

4. The energy storage system for performance evaluation according to claim 1, characterized in that: The method for evaluating the solar power generation efficiency by the efficiency impact value range evaluation module (30) comprises the following steps: S10. Combine the historical detection values ​​of the influencing conditions to obtain the detection value with the highest frequency of each influencing condition in the detection area, and mark it as the normal detection value Nd value ; S20, define the unit detection change value Ud value ; S30, adopt the principle of single variable change, and detect the change value Ud according to the unit value Perform normal detection value Nd value Decreasing or increasing; S40. Obtain energy storage change value ranges corresponding to different change amounts through energy storage detection equipment, and bind the current influencing condition type and the corresponding detection value.

5. The energy storage system for performance evaluation according to claim 1, characterized in that: The method for obtaining the influencing condition collocation status in the influencing collocation priority definition module (40) comprises the following steps: S100, normal detection value Nd combined with various influencing conditions value And the corresponding energy storage change value range, define the energy storage change threshold Es threshold ; S200, obtain the energy storage change value range exceeding the energy storage change threshold Es threshold The detection value corresponding to the influencing condition is marked as the abnormal detection value Ad value ; S300, setting a unit detection time T0, obtaining the energy storage change value range that exceeds the energy storage change threshold Es within the unit detection time T0 threshold The corresponding abnormal detection value Ad value , and bind the current exception affecting conditions.

6. The energy storage system for performance evaluation according to claim 5, characterized in that: The method for calculating the priorities of each item in the collocation influencing condition in the collocation influencing priority definition module (40) comprises the following steps: S400, formulate a single adjustment rule based on the bound abnormal impact condition, and perform abnormal detection value Ad on the single abnormal impact condition value Adjust and restore to the normal detection value Nd value ; S500, statistics on each abnormal influence condition single adjustment method, collect the energy storage change difference Es before and after adjustment difference ; S600, compare the energy storage change difference Es corresponding to each single adjustment method difference ; S700, according to the energy storage change difference Es difference Priorities are assigned in proportional order, and a database of influencing conditions and priorities is generated by binding.

7. The energy storage system for performance evaluation according to claim 1, characterized in that: The method for predicting the amount of energy stored in different time periods during solar power generation in the energy storage prediction module (50) comprises the following steps: S1000, respond to the current energy storage change value range exceeding the energy storage change threshold Es threshold Status: obtain the corresponding abnormal impact conditions by detecting the real-time data information of the node; S2000, obtaining the current abnormal influencing condition matching mode, and combining it with the influencing condition matching priority database to obtain the processing priority of each abnormal influencing condition; S3000. Predict processing results in different states based on processing priorities.

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