Photovoltaic power station operation analysis method and system

Abstract

The invention provides a photovoltaic power station operation analysis method and system, and relates to the field of photovoltaic technology, and the method comprises the steps: collecting the associated data of a photovoltaic power station in real time, and carrying out the preprocessing of the associated data, and obtaining target data; comparing the target data according to different comparison directions to obtain a data analysis result; and evaluating each link of production and operation of the photovoltaic power station based on a data analysis result. The method comprises the following steps: acquiring associated data of a photovoltaic power station in real time, and preprocessing the associated data to obtain target data; comparing the target data according to different comparison directions to obtain a data analysis result; all links of production and operation of the photovoltaic power station are evaluated based on the data analysis result, and the operation efficiency and energy output of the power station can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic technology, and particularly relates to a method and system for analyzing the operation of a photovoltaic power station. Background Art

[0002] In recent years, with the rapid development of renewable energy, as one of the important ways of solar energy utilization, the operation efficiency and energy output of photovoltaic power stations have become the focus of the industry. However, the operation of photovoltaic power stations involves many factors, such as solar energy resources, power generation and consumption, load balance, loss control, and the operation stability of equipment. The complex relationships among these factors make the operation management of power stations particularly complex. Therefore, how to improve the operation efficiency of photovoltaic power stations and reduce losses under the consideration of many factors involved in the operation of photovoltaic power stations has become one of the current research focuses.

[0003] Therefore, the present invention provides a method and system for analyzing the operation of a photovoltaic power station. Summary of the Invention

[0004] The present invention provides a method and system for analyzing the operation of a photovoltaic power station, which is used to collect the associated data of the photovoltaic power station in real time, and preprocess the associated data to obtain target data; compare the target data in different comparison directions to obtain the data analysis result; and evaluate each link of the production and operation of the photovoltaic power station based on the data analysis result, which can effectively improve the operation efficiency and energy output of the power station.

[0005] The present invention provides a method for analyzing the operation of a photovoltaic power station, including: Step 1: Collect the associated data of the photovoltaic power station in real time, and preprocess the associated data to obtain target data; Step 2: Compare the target data in different comparison directions to obtain the data analysis result; Step 3: Evaluate each link of the production and operation of the photovoltaic power station based on the data analysis result.

[0006] Preferably, collecting the associated data of the photovoltaic power station in real time, and preprocessing the associated data to obtain target data, includes: Establish a first interface for each monitoring system of the current photovoltaic power station; Based on the first interface, obtain the associated data of the current photovoltaic power station; After cleaning, normalizing, removing outliers and error data from all the obtained associated data, target data is obtained.

[0007] Preferably, the associated data includes data on solar energy resources (such as light intensity, irradiation duration, etc.), electricity quantity (such as power generation, electricity fed into the grid, electricity consumption, etc.), load (such as real-time load, peak-valley load, etc.), losses (such as line losses, equipment losses, etc.), and equipment operation indicators (such as temperature, pressure, rotation speed, etc.).

[0008] Preferably, the target data is compared in different comparison directions to obtain data analysis results, including: The target data is divided according to data categories to obtain first data; According to the vertical comparison direction, the current first data is divided and sorted according to the time series of day, week, month, quarter, and year respectively and then visualized to obtain first visualization data, and the corresponding time series is marked for the obtained first visualization data; By analyzing the change trend of the obtained first visualization data, the seasonal change trend result and weekly change trend result of the current first data are obtained; Obtain and screen out performance-related data from the first data of the key equipment of the current power station; Using the seasonal change trend result and weekly change trend result of the performance-related data, calculate the performance change coefficient; When the performance change coefficient is less than the set performance threshold, calculate the absolute difference between the performance change coefficient and the set performance threshold to obtain a first difference; Using the first difference, determine the maintenance requirement level of the key equipment of the current power station; According to the horizontal comparison direction, input the first data of the current photovoltaic power station and the corresponding average data of photovoltaic power stations of the same type in the same region into a pre-established operation analysis model to obtain the advantageous direction and disadvantageous direction of the current photovoltaic power station; Output the performance change coefficient, maintenance requirement level, advantageous direction and disadvantageous direction of all the key equipment of the power station as data analysis results.

[0009] Preferably, the calculation formula of the performance change coefficient is as follows: ; where, represents the performance change coefficient of the key equipment of the current power station; represents the average value of the i-th performance-related data of the key equipment of the current power station in the j-th quarter, where j = 1, 2, 3, 4; represents the average value of the i-th performance-related data of the key equipment of the current power station in the (j - 1)-th quarter, where i = 1, 2, 3, , n; represents the quantity of performance-related data whose average value in the j-th quarter is greater than that in the (j - 1)-th quarter; The amount of performance-related data where the average value for the jth quarter is less than the average value for the (j - 1)th quarter; The average value for the gth week of the ith performance-related data of the key equipment of the current power station; The average value for the (g - 1)th week of the ith performance-related data of the key equipment of the current power station, where ; The number of weeks where the average value for the gth week is greater than the average value for the (g - 1)th week; 3 represents the number of weeks where the average value for the gth week is less than the average value for the (g - 1)th week; Represents the influence weight of the seasonal change trend on calculating the performance change coefficient of the key equipment of the power station; Represents the influence weight of the weekly change trend on calculating the performance change coefficient of the key equipment of the power station.

[0010] Preferably, based on the data analysis results, evaluate each link of the production and operation of the photovoltaic power station, including: According to the maintenance requirement levels of all the key equipment of the power station in the data analysis results, label all the key equipment of the power station except those with a maintenance requirement level of no maintenance required as equipment to be maintained; Use the number of equipment to be maintained and the performance change coefficient of each piece of equipment to be maintained to calculate the equipment operation anomaly score; According to the equipment anomaly score, evaluate the operation stability level of the current photovoltaic power station; Use the first data associated with the solar energy utilization rate to determine the seasonal solar energy utilization rate and the weekly solar energy utilization rate of the current photovoltaic power station; Calculate the seasonal-utilization standard deviation and the periodic-utilization standard deviation respectively according to the obtained seasonal solar energy utilization rate and weekly solar energy utilization rate; Evaluate the solar energy resource utilization efficiency of the current photovoltaic power station by analyzing the seasonal-utilization standard deviation and the periodic-utilization standard deviation to obtain the resource utilization evaluation coefficient; Use the first data associated with the power balance assessment to determine the seasonal power balance situation and the weekly power balance situation of the current photovoltaic power station; According to the obtained seasonal power balance situation and weekly power balance situation, obtain the abnormal power output locations existing in the current photovoltaic power station and determine the abnormal evaluation coefficient for each abnormal power output location; Extract the load change curve and the power generation change curve for each quarter of the current photovoltaic power station; Obtain the change synchronization evaluation coefficient by analyzing the change synchronization of the load change curve and the power generation change curve in the same quarter; If the change synchronization evaluation coefficient is greater than the set synchronization threshold, it is determined that the power supply of the current photovoltaic power station is stable; Otherwise, it is determined that the power supply of the current photovoltaic power station is unstable; Using the first data associated with loss evaluation, determine the seasonal loss control level and weekly loss control level of the current photovoltaic power station; Compare the obtained seasonal loss control level and weekly loss control level with the set industry loss control standard, screen out the quarters and weeks that exceed the set industry loss control standard, and mark them as non-compliant quarters and non-compliant weeks respectively; According to the loss control level, match and mark the loss levels for the corresponding non-compliant quarters and non-compliant weeks respectively.

[0011] Preferably, it further includes: For each device to be repaired, using the corresponding repair requirement level as a matching condition, match the corresponding device repair strategy for repair; When the resource utilization evaluation coefficient is less than the set resource utilization threshold, using the current resource utilization evaluation coefficient as a matching condition, match the corresponding resource optimization strategy to optimize the solar energy resource utilization of the current photovoltaic power station; According to the corresponding abnormal evaluation coefficient at each power output abnormality, determine the corresponding possible abnormal reasons; Summarize all possible abnormal reasons, and through comprehensive analysis of the occurrence times of each possible abnormal reason and the corresponding equipment repair frequency involved, determine the possible coefficient of each possible abnormal reason; Take the possible abnormal reasons with a possible coefficient greater than the set possible threshold as the target reasons for the power output abnormality of the current photovoltaic power station; Obtain the output solution strategy adapted to the target reason for corresponding processing; For the power station equipment involved in non-compliant quarters and non-compliant weeks, use the equipment loss control measures matching the corresponding loss level for corresponding maintenance.

[0012] The present invention provides a photovoltaic power station operation analysis system, including: Data acquisition module: used to collect the associated data of the photovoltaic power station in real time and preprocess the associated data to obtain target data; Data analysis module: used to compare the target data in different comparison directions to obtain data analysis results; Evaluation module: used to evaluate each link of the production operation of the photovoltaic power station based on the data analysis results.

[0013] Compared with the prior art, the beneficial effects of the present application are as follows: By collecting the associated data of the photovoltaic power station in real time and preprocessing the associated data to obtain target data; comparing the target data in different comparison directions to obtain the data analysis result; evaluating each link of the production and operation of the photovoltaic power station based on the data analysis result, the operation efficiency and energy output of the power station can be effectively improved.

[0014] Other features and advantages of the present invention will be described in the following specification, and in part will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings.

[0015] The technical solutions of the present invention will be further described in detail below with reference to the drawings and embodiments. Description of the Drawings

[0016] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings: Figure 1 is a flowchart of a method for analyzing the operation of a photovoltaic power station in an embodiment of the present invention; Figure 2 is a structural diagram of a system for analyzing the operation of a photovoltaic power station in an embodiment of the present invention. Detailed Embodiments

[0017] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0018] An embodiment of the present invention provides a method for analyzing the operation of a photovoltaic power station, as Figure 1 shown, including: Step 1: Collect the associated data of the photovoltaic power station in real time and preprocess the associated data to obtain target data; Step 2: Compare the target data in different comparison directions to obtain the data analysis result; Step 3: Evaluate each link of the production and operation of the photovoltaic power station based on the data analysis result.

[0019] In this embodiment, the associated data includes data on solar energy resources (such as light intensity, irradiation duration, etc.), electricity (such as power generation, grid-connected power, electricity consumption, etc.), load (such as real-time load, peak-valley load, etc.), loss (such as line loss, equipment loss, etc.), and equipment operation indicators (such as temperature, pressure, rotation speed, etc.).

[0020] The beneficial effects of the above technical solution are as follows: By collecting the associated data of the photovoltaic power station in real time and preprocessing the associated data to obtain target data; comparing the target data in different comparison directions to obtain the data analysis results; and evaluating each link of the production and operation of the photovoltaic power station based on the data analysis results, the operation efficiency and energy output of the power station can be effectively improved.

[0021] An embodiment of the present invention provides a method for analyzing the operation of a photovoltaic power station, which collects the associated data of the photovoltaic power station in real time and preprocesses the associated data to obtain target data, including: Establish a first interface for each monitoring system of the current photovoltaic power station; Based on the first interface, obtain the associated data of the current photovoltaic power station; After cleaning, normalizing, removing outliers and error data from all the obtained associated data, target data is obtained.

[0022] In this embodiment, the first interface refers to the connection point or communication channel established for each monitoring system of the current photovoltaic power station; the associated data includes data on solar energy resources (light intensity, irradiation duration, etc.), electricity (power generation, grid-connected power, electricity consumption, etc.), load (real-time load, peak-valley load, etc.), loss (line loss, equipment loss, etc.), and equipment operation indicators (temperature, pressure, rotation speed, etc.); the target data is obtained after cleaning, normalizing, removing outliers and error data from the associated data.

[0023] The beneficial effects of the above technical solution are as follows: By establishing a first interface for each monitoring system of the current photovoltaic power station, data integration between different monitoring systems is realized; preprocessing all the obtained associated data can significantly improve the data quality.

[0024] An embodiment of the present invention provides a method for analyzing the operation of a photovoltaic power station, which compares the target data in different comparison directions to obtain the data analysis results, including: Divide the target data according to data categories to obtain first data; According to the longitudinal comparison direction, divide and sort the current first data according to the time series of day, week, month, quarter, and year and then perform visualization processing to obtain first visualization data, and label the corresponding time series for the obtained first visualization data; By analyzing the change trend of the obtained first visualization data, obtain the seasonal change trend result and the weekly change trend result of the current first data; Obtain and screen out the performance-related data from the first data of the key equipment of the current power station; Use the seasonal change trend result and the weekly change trend result of the performance-related data to calculate the performance change coefficient; When the performance change coefficient is less than the set performance threshold, calculate the absolute difference between the performance change coefficient and the set performance threshold to obtain a first difference; Use the first difference to determine the maintenance requirement level of the key equipment of the current power station; In the horizontal comparison direction, input the first data of the current photovoltaic power station and the corresponding average data of photovoltaic power stations of the same type in the same region into the pre-established operation analysis model to obtain the advantageous direction and disadvantageous direction of the current photovoltaic power station; Output the performance change coefficients and maintenance requirement levels of all the key equipment of the power station, as well as the advantageous direction and disadvantageous direction as the data analysis results.

[0025] In this embodiment, the data categories include solar energy resources, load, loss, and equipment operation indicators; the first visualized data is the data presented through a visualization tool (curve graph) after the target data is sorted according to the time series (day, week, month, quarter, year); the seasonal change trend result is composed of the change indicators of the data within each quarter, such as average value, maximum value, minimum value, and curve slope, etc.; the weekly change trend result is composed of the change indicators of the data within a week, such as average value, maximum value, minimum value, and curve slope, etc.; the maintenance requirement level includes three levels: no maintenance, general maintenance, and special maintenance; the first difference refers to the absolute difference between the performance change coefficient and the set performance threshold (when the performance change coefficient is less than the set performance threshold), and the set performance threshold is pre-determined, generally 0.8; the advantageous direction refers to the power station performance direction where the current photovoltaic power station has advantages compared with photovoltaic power stations of the same type in the same region. Among them, the power station performance direction includes power generation, loss control, stable operation of the power station, and solar energy utilization rate, etc.; the disadvantageous direction refers to the power station performance direction where the current photovoltaic power station has disadvantages compared with photovoltaic power stations of the same type in the same region.

[0026] The beneficial effects of the above technical solution are: By comprehensively applying methods such as time series analysis, visualization processing, and comparative analysis, a comprehensive and in-depth analysis of the target data of the photovoltaic power station is carried out, providing strong data support and decision-making basis for the operation management of the power station.

[0027] An embodiment of the present invention provides a method for analyzing the operation of a photovoltaic power station. The calculation formula of the performance change coefficient is as follows: ; where, represents the performance change coefficient of the key equipment of the current power station; represents the average value of the j-th quarter of the i-th performance-related data of the key equipment of the current power station, where j = 1, 2, 3, 4; The average value of the (j - 1)-th quarter of the i-th performance-related data of the key equipment of the current power station, where i = 1, 2, 3, , n; Represents the quantity of performance-related data where the average value of the j-th quarter is greater than the average value of the (j - 1)-th quarter; Represents the quantity of performance-related data where the average value of the j-th quarter is less than the average value of the (j - 1)-th quarter; The average value of the g-th week of the i-th performance-related data of the key equipment of the current power station; The average value of the (g - 1)-th week of the i-th performance-related data of the key equipment of the current power station, where ; Represents the number of weeks where the average value of the g-th week is greater than the average value of the (g - 1)-th week; 3 represents the number of weeks where the average value of the g-th week is less than the average value of the (g - 1)-th week; Represents the influence weight of the seasonal change trend on calculating the performance change coefficient of the key equipment of the power station; Represents the influence weight of the weekly change trend on calculating the performance change coefficient of the key equipment of the power station.

[0028] The beneficial effects of the above technical solution are: By calculating the performance change coefficient, it can provide a data basis for the maintenance requirement level of the key equipment of the current power station, and further help to reasonably arrange the maintenance plan and resources to ensure the stable operation and power generation efficiency of the equipment.

[0029] The embodiment of the present invention provides a method for analyzing the operation of a photovoltaic power station. Based on the data analysis results, it evaluates each link of the production and operation of the photovoltaic power station, including: According to the maintenance requirement levels of all the key equipment of the power station in the data analysis results, mark all the key equipment of the power station except those with a maintenance requirement level of no maintenance required as equipment to be repaired; Calculate the equipment operation anomaly score by using the number of equipment to be repaired and the performance change coefficient of each piece of equipment to be repaired; Evaluate the operation stability level of the current photovoltaic power station according to the equipment anomaly score; Use the first data associated with the solar energy utilization rate to determine the seasonal solar energy utilization rate and the weekly solar energy utilization rate of the current photovoltaic power station; Calculate the seasonal-utilization standard deviation and the periodic-utilization standard deviation respectively according to the obtained seasonal solar energy utilization rate and the weekly solar energy utilization rate; Evaluate the solar energy resource utilization efficiency of the current photovoltaic power station by analyzing the seasonal-utilization standard deviation and the periodic-utilization standard deviation to obtain the resource utilization evaluation coefficient; Determine the seasonal power balance situation and weekly power balance situation of the current PV power station by using the first data associated with the power balance assessment; According to the obtained seasonal power balance situation and weekly power balance situation, obtain the abnormal power generation points existing in the current PV power station, and determine the abnormal assessment coefficient for each abnormal power generation point; Extract the load change curve and power generation change curve of each quarter of the current PV power station; Obtain the change synchronization assessment coefficient by analyzing the change synchronization of the load change curve and power generation change curve in the same quarter; If the change synchronization assessment coefficient is greater than the set synchronization threshold, it is determined that the power supply of the current PV power station is stable; Otherwise, it is determined that the power supply of the current PV power station is unstable; Determine the seasonal loss control level and weekly loss control level of the current PV power station by using the first data associated with the loss assessment; Compare the obtained seasonal loss control level and weekly loss control level with the set industry loss control standard, screen out the quarters and weeks that exceed the set industry loss control standard, and mark them as non-compliant quarters and non-compliant weeks respectively; Match and mark the loss levels for the corresponding non-compliant quarters and non-compliant weeks according to the loss control level.

[0030] In this embodiment, the equipment operation abnormal score is used to reflect the abnormal degree of equipment operation in the PV power station. The higher the score, the worse the equipment operation state and the higher the urgency for repair; the resource utilization assessment coefficient is used to evaluate the utilization efficiency of solar energy resources in the PV power station. The smaller the standard deviation, the more stable the utilization rate; the seasonal power balance situation is composed of the power balance state (whether the power generation matches the demand) of each quarter of the current PV power station; the weekly power balance situation is composed of the power balance state (whether the power generation matches the demand) of each week of the current PV power station; the abnormal power generation points refer to the power generation points that do not conform to the normal situation found in the seasonal power balance situation and weekly power balance situation; the abnormal assessment coefficient is used to quantify the degree of power balance abnormality; the change synchronization assessment coefficient is used to evaluate the matching degree between the power supply of the power station and the load demand. The higher the coefficient, the closer the matching and the more stable the power supply; the non-compliant quarter refers to the quarter in which the seasonal loss control level exceeds the corresponding set industry loss control standard; the non-compliant week refers to the week in which the weekly loss control level exceeds the corresponding set industry loss control standard; loss control includes line loss, equipment loss, etc.

[0031] The beneficial effects of the above technical solution are as follows: By comprehensively evaluating various aspects of the production and operation of a photovoltaic power station, including equipment operation status, resource utilization efficiency, power balance, loss control level, etc., comprehensive monitoring and diagnosis of the power station operation status are achieved, which helps to improve the operation efficiency and economic benefits of the power station.

[0032] The embodiment of the present invention provides a method for analyzing the operation of a photovoltaic power station, further including: For each device to be repaired, using the corresponding repair requirement level as a matching condition, matching the corresponding device repair strategy for repair processing; When the resource utilization evaluation coefficient is less than the set resource utilization threshold, using the current resource utilization evaluation coefficient as a matching condition, matching the corresponding resource optimization strategy to optimize the utilization of solar energy resources in the current photovoltaic power station; According to the corresponding abnormal evaluation coefficient at each power output anomaly, determining the corresponding possible abnormal reasons; Summarize all possible abnormal reasons, and through comprehensive analysis of the occurrence times of each possible abnormal reason and the corresponding equipment repair frequency involved, determine the possible coefficient of each possible abnormal reason; Taking the possible abnormal reasons with possible coefficients greater than the set possible threshold as the target reasons for the power output anomaly of the current photovoltaic power station; Obtaining the output solution strategy adapted to the target reason for corresponding processing; For the power station equipment involved in non-compliant quarters and non-compliant weeks, using the equipment loss control measures matching the corresponding loss level for corresponding maintenance.

[0033] In this embodiment, the device repair strategy refers to the specific repair plan and measures matched for the device to be repaired according to its repair requirement level (such as no repair, general repair, special repair, etc.); the resource optimization strategy refers to a series of improvement measures taken to improve the resource utilization efficiency when the solar energy resource utilization evaluation coefficient of the photovoltaic power station is lower than the set threshold, such as adjusting the power station layout, optimizing the tracking system, increasing the cleaning frequency, using more efficient battery components, etc.; the possible abnormal reason refers to the possible reasons for the power output anomaly, such as equipment aging, too long transmission line; the possible coefficient is used to characterize the matching degree between the possible abnormal reason and the current power output anomaly; the output solution strategy refers to the specific solution formulated for the power output anomaly of the photovoltaic power station according to the possible abnormal reasons determined by the abnormal evaluation coefficient, such as replacing faulty equipment, adjusting the operation and maintenance strategy, optimizing the power station parameters, etc.

[0034] The beneficial effects of the above technical solution are as follows: By adopting corresponding processing strategies for power station maintenance according to the evaluation results of various aspects of the production and operation of the photovoltaic power station, it can help to improve the operation efficiency, economic benefits and reliability of the power station.

[0035] An embodiment of the present invention provides a photovoltaic power station operation analysis system, as Figure 2 shown, including: A data acquisition module: configured to collect the associated data of the photovoltaic power station in real time, and preprocess the associated data to obtain target data; A data analysis module: configured to compare the target data in different comparison directions to obtain a data analysis result; An evaluation module: configured to evaluate each link of the production operation of the photovoltaic power station based on the data analysis result.

[0036] The beneficial effects of the above technical solution are as follows: By collecting the associated data of the photovoltaic power station in real time, preprocessing the associated data to obtain target data, comparing the target data in different comparison directions to obtain a data analysis result, and evaluating each link of the production operation of the photovoltaic power station based on the data analysis result, the operation efficiency and energy output of the power station can be effectively improved.

[0037] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for analyzing the operation of a photovoltaic power station, characterized in that, Including: Step 1: Collect the associated data of the photovoltaic power station in real time, and preprocess the associated data to obtain target data; Step 2: Compare the target data in different comparison directions to obtain the data analysis results; Step 3: Evaluate each link of the production and operation of the photovoltaic power station based on the data analysis results.

2. The method for analyzing the operation of a photovoltaic power station according to claim 1, wherein Collect the associated data of the photovoltaic power station in real time, and preprocess the associated data to obtain target data, including: Establish a first interface for each monitoring system of the current photovoltaic power station; Based on the first interface, obtain the associated data of the current photovoltaic power station; After cleaning, normalizing, removing outliers and error data from all the obtained associated data, target data is obtained.

3. The method for analyzing the operation of a photovoltaic power station according to claim 2, wherein The associated data includes data on solar energy resources (light intensity, irradiation duration, etc.), electricity (power generation, grid-connected power, electricity consumption, etc.), load (real-time load, peak-valley load, etc.), losses (line losses, equipment losses, etc.), and equipment operation indicators (temperature, pressure, rotation speed, etc.).

4. A method for analyzing the operation of a photovoltaic power station according to claim 1, characterized in that, Compare the target data in different comparison directions to obtain the data analysis results, including: Divide the target data according to data categories to obtain first data; According to the longitudinal comparison direction, divide and sort the current first data according to the time series of day, week, month, quarter, and year respectively, and then perform visualization processing to obtain first visualization data, and label the corresponding time series for the obtained first visualization data; Through the analysis of the change trend of the obtained first visualization data, obtain the seasonal change trend result and weekly change trend result of the current first data; Obtain and screen out the performance-related data from the first data of the key equipment of the current power station; Use the seasonal change trend result and weekly change trend result of the performance-related data to calculate the performance change coefficient; When the performance change coefficient is less than the set performance threshold, calculate the absolute difference between the performance change coefficient and the set performance threshold to obtain a first difference; Use the first difference to determine the maintenance requirement level of the key equipment of the current power station; According to the horizontal comparison direction, input the first data of the current photovoltaic power station and the corresponding average data of photovoltaic power stations of the same type in the same region into the pre-established operation analysis model to obtain the advantageous direction and disadvantageous direction of the current photovoltaic power station; Output the performance change coefficient, maintenance requirement level, advantageous direction and disadvantageous direction of all the key equipment of the power station as the data analysis results.

5. A method for analyzing the operation of a photovoltaic power station according to claim 4, characterized in that, The calculation formula of the performance change coefficient is as follows: ; where, represents the performance change coefficient of the key equipment of the current power station; represents the average value of the j-th quarter of the i-th performance correlation data of the key equipment of the current power station, where j = 1, 2, 3, 4; represents the average value of the (j - 1)-th quarter of the i-th performance correlation data of the key equipment of the current power station, where i = 1, 2, 3, , n; represents the amount of performance correlation data where the average value of the j-th quarter is greater than the average value of the (j - 1)-th quarter; represents the amount of performance correlation data where the average value of the j-th quarter is less than the average value of the (j - 1)-th quarter; represents the average value of the g-th week of the i-th performance correlation data of the key equipment of the current power station; represents the average value of the (g - 1)-th week of the i-th performance correlation data of the key equipment of the current power station, where, ; represents the number of weeks where the average value of the g-th week is greater than the average value of the (g - 1)-th week; 3 represents the number of weeks where the average value of the g-th week is less than the average value of the (g - 1)-th week; represents the influence weight of the seasonal change trend on calculating the performance change coefficient of the key equipment of the power station; represents the influence weight of the weekly change trend on calculating the performance change coefficient of the key equipment of the power station.

6. The operation analysis method of a photovoltaic power station according to claim 1, wherein Based on the data analysis results, evaluate each link of the production and operation of the photovoltaic power station, including: According to the maintenance requirement level of all the key equipment of the power station in the data analysis results, label all the key equipment of the power station except those with the maintenance requirement level of no maintenance required as equipment to be repaired; Use the number of equipment to be repaired and the performance change coefficient of each equipment to be repaired to calculate the equipment operation anomaly score; Evaluate the operation stability level of the current photovoltaic power station according to the equipment anomaly score; Use the first data associated with the solar energy utilization rate to determine the seasonal solar energy utilization rate and weekly solar energy utilization rate of the current photovoltaic power station; Calculate the seasonal-utilization standard deviation and the periodic-utilization standard deviation respectively according to the obtained seasonal solar energy utilization rate and the weekly solar energy utilization rate; Evaluate the solar energy resource utilization efficiency of the current photovoltaic power station by analyzing the seasonal-utilization standard deviation and the periodic-utilization standard deviation, and obtain the resource utilization evaluation coefficient; Determine the seasonal power balance situation and the weekly power balance situation of the current photovoltaic power station by using the first data associated with the power balance evaluation; According to the obtained seasonal power balance situation and the weekly power balance situation, obtain the abnormal power output points existing in the current photovoltaic power station, and determine the abnormal evaluation coefficient for each abnormal power output point; Extract the load change curve and the power generation change curve of each quarter of the current photovoltaic power station; Obtain the change synchronization evaluation coefficient by analyzing the change synchronization of the load change curve and the power generation change curve in the same quarter; If the change synchronization evaluation coefficient is greater than the set synchronization threshold, it is determined that the power supply of the current photovoltaic power station is stable; Otherwise, it is determined that the power supply of the current photovoltaic power station is unstable; Determine the seasonal loss control level and the weekly loss control level of the current photovoltaic power station by using the first data associated with the loss evaluation; Compare the obtained seasonal loss control level and the weekly loss control level with the set industry loss control standard, screen out the quarters and weeks that exceed the set industry loss control standard, and mark them as non-compliant quarters and non-compliant weeks respectively; Match and mark the loss levels for the corresponding non-compliant quarters and non-compliant weeks according to the loss control level; 7. A method for analyzing the operation of a photovoltaic power station according to claim 6, characterized in that Also include: For each device to be repaired, use the corresponding repair requirement level as the matching condition to match the corresponding device repair strategy for repair; When the resource utilization evaluation coefficient is less than the set resource utilization threshold, use the current resource utilization evaluation coefficient as the matching condition to match the corresponding resource optimization strategy to optimize the solar energy resource utilization of the current photovoltaic power station; Determine the corresponding possible abnormal reasons according to the corresponding abnormal evaluation coefficient of each abnormal power output point; Summarize all possible abnormal reasons, and determine the possible coefficient of each possible abnormal reason through comprehensive analysis of the occurrence times of each possible abnormal reason and the corresponding device repair frequency involved; Take the possible abnormal reasons with the possible coefficient greater than the set possible threshold as the target reasons for the abnormal power output of the current photovoltaic power station; Obtain the output solution strategy adapted to the target reason for corresponding processing; For the power station equipment involved in non-compliant quarters and non-compliant weeks, perform corresponding maintenance by using the equipment loss control measures matching the corresponding loss levels; 8. A photovoltaic power station operation analysis system, characterized in that, Include: Data acquisition module: used to collect the associated data of the photovoltaic power station in real time and preprocess the associated data to obtain the target data; Data analysis module: used to compare the target data in different comparison directions to obtain the data analysis results; Evaluation module: used to evaluate each link of the production operation of the photovoltaic power station based on the data analysis results.

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