New energy power station centralized control method and system

Abstract

The invention provides a new energy power station centralized control method and system, and relates to the technical field of new energy power station centralized control, and the method comprises the steps: collecting the real-time operation data of a photovoltaic module of each power station; based on the real-time operation data of the photovoltaic module of each power station, performing energy efficiency evaluation on each power station, analyzing the energy efficiency evaluation result of each power station, and generating and executing a coping adjustment scheme; and based on the real-time operation data of the photovoltaic module of the power station after execution of the corresponding adjustment scheme, predicting the power supply amount of the corresponding photovoltaic module in the next period, and based on the preset power consumption of the corresponding power consumption area, generating an emergency energy storage adjustment scheme. Manual intervention is reduced through data acquisition, the working efficiency is improved, meanwhile, the management requirements of large-scale power stations can be met, and coordinated control and resource sharing among multiple power stations can be achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of centralized control of new energy power stations, and specifically relates to a centralized control method and system for new energy power stations. Background Art

[0002] The traditional centralized control method of new energy power stations relies on manual regular recording of the operating data of the power station's photovoltaic components, such as output power, voltage, and current, and manual analysis based on the recorded data to evaluate the energy efficiency and operating status of the power station. This method is inefficient and difficult to adapt to the management needs of large-scale power stations. It has poor scalability and flexibility, and it is difficult to achieve coordinated control and resource sharing among multiple power stations. Summary of the invention

[0003] The present invention provides a centralized control method and system for a new energy power station, which are used to solve at least one of the technical problems mentioned above.

[0004] In order to solve the above technical problems, the present invention discloses a centralized control method and system for a new energy power station, comprising:

[0005] S1. Collect real-time operating data of photovoltaic modules in each power station;

[0006] S2. Based on the real-time operating data of the photovoltaic modules of each power station, perform energy efficiency evaluation on each power station, analyze the energy efficiency evaluation results of each power station, and generate and implement response adjustment plans;

[0007] S3. Based on the real-time operation data of the photovoltaic modules of the power station after the implementation of the response adjustment plan, the power supply of the corresponding photovoltaic modules in the next cycle is predicted, and based on the preset power consumption of the power application area, an emergency energy storage adjustment plan is generated.

[0008] Preferably, step S2 comprises:

[0009] S21. Calculate the energy efficiency of each power station in each monitoring period based on the real-time operation data of the photovoltaic components of each power station;

[0010] S22. Based on the energy efficiency of each power station in each monitoring period, perform energy efficiency evaluation on each power station.

[0011] Preferably, based on the real-time operating data of the photovoltaic components of each power station, the energy efficiency of each power station in each monitoring cycle is calculated:

[0012] Among them, σ ix is the energy efficiency of the xth power station in the ith monitoring period, ω ix is the actual output power of the xth power station at the jth moment in the ith monitoring period, η x is the working efficiency of the inverter corresponding to the x-th power station, e is a natural number, the value is 2.71, Ax is the coverage area of ​​the photovoltaic panels of the x-th power station, is the solar radiation intensity at the jth moment of the xth power station in the ith monitoring period, and m is the total number of moments in the ith monitoring period.

[0013] Preferably, based on the energy efficiency of each power station in each monitoring period, the energy efficiency evaluation of each power station includes:

[0014] S221, used to compare the energy efficiency of each power station in each monitoring cycle. When the energy efficiency of the power station for five consecutive monitoring cycles is less than the first energy efficiency of the preset monitoring cycle, it is determined that the power station is faulty and the power station is repaired;

[0015] When the energy efficiency of the power station for five consecutive monitoring cycles is greater than the first energy efficiency of the preset monitoring cycle and less than the second energy efficiency of the preset monitoring cycle, it is judged that the energy efficiency of the power station is poor;

[0016] When the energy efficiency of the power plant for five consecutive monitoring cycles is greater than the second energy efficiency of the preset monitoring cycle, the power plant is judged to be operating well;

[0017] S222. Calculate the energy efficiency fluctuation coefficient of each power station with poor energy efficiency:

[0018] Among them, ∈ ix is the energy efficiency fluctuation coefficient of the x-th power station with poor energy efficiency, n is the total number of monitoring cycles of the x-th power station, and δ is the light intensity compensation coefficient;

[0019] When ∈ ix When it is a negative number, it proves that the reason for the poor energy efficiency of the x-th power station is that the photovoltaic modules are shaded, and the photovoltaic modules should be cleaned;

[0020] Otherwise, the reason for the poor energy efficiency of the xth power station is poor electrical connection, and the power station is repaired.

[0021] Preferably, cleaning the photovoltaic module comprises:

[0022] Real-time image acquisition of the surface of photovoltaic modules in power stations where photovoltaic modules are shaded;

[0023] Obtain the pixel value of each pixel point in several photovoltaic module surface images collected at each moment, and calculate the pixel mean value of adjacent pixel points corresponding to each pixel point of each photovoltaic module surface image, and use it as the calculation pixel of the pixel point corresponding to the photovoltaic module surface image;

[0024] Calculate the sum of calculated pixels of corresponding pixel points on several photovoltaic module surface images collected at each moment, and use the quotient of the sum of calculated pixels of corresponding pixel points on several photovoltaic module surface images and the total number of photovoltaic module surface images collected at each moment as the photovoltaic module background pixel value of the pixel point, and use the image composed of the photovoltaic module background pixel value of each pixel point as the photovoltaic module background image;

[0025] Calculate the absolute value of the difference between the actual pixel value of each pixel point in each photovoltaic module surface image and the pixel value of the photovoltaic module background; when the absolute value of the difference between the actual pixel value of the pixel point and the pixel value of the photovoltaic module background is greater than the preset pixel difference, mark the pixel point as a pixel point of the area to be cleaned, and the area formed by all the pixels of the area to be cleaned is the area to be cleaned;

[0026] The dirt thickness of the area to be cleaned is collected, and based on the area of ​​the coal accumulation area, the cleaning intensity level coefficient of the area to be cleaned is calculated:

[0027] Among them, U is the cleaning intensity level coefficient of the area to be cleaned, α is the cleaning intensity correction coefficient, e is a natural number, the value is 2.71, h1 is the dirt thickness in the area to be cleaned, h0 is the preset thickness of the dirt, S1 is the area of ​​the area to be cleaned, and S0 is the area of ​​the photovoltaic modules of the corresponding power station.

[0028] Preferably, based on the real-time operation data of the photovoltaic components of the power station after the implementation of the response adjustment plan, the power supply of the corresponding photovoltaic components in the next cycle is predicted, and based on the preset power consumption of the power application area, an emergency energy storage adjustment plan is generated, including:

[0029] S31, generating a power curve graph with time as the horizontal axis and the real-time output power of the photovoltaic components as the vertical axis based on the real-time operation data of the photovoltaic components of the power station after the response adjustment plan is executed;

[0030] S32. Calculate the power generation of the current power station in each monitoring cycle based on the power curve:

[0031] Among them, Q Ix is the power generation of the xth power station in the Ith monitoring period, and P(t) represents the power curve;

[0032] S33, based on the power generation of the power station in each monitoring period after the response adjustment plan is implemented, construct a power generation prediction matrix of the xth power station, and predict the power generation of the power station in the next monitoring period;

[0033] S34, calculating the average power consumption of the power consumption area before the first monitoring cycle, and using it as the preset power consumption of the power consumption area in the next monitoring cycle;

[0034] S35. Generate an emergency energy storage adjustment plan based on the preset power consumption of the power consumption area in the next monitoring period and the power generation in the next monitoring period.

[0035] Preferably, step S33 includes:

[0036] The power generation of each monitoring period of the x-th power station is arranged in time series to form a power generation series based on time series;

[0037] Based on the power generation series, the current power generation prediction matrix of the x-th power station is constructed:

[0038]

[0039] in, is the current power generation prediction matrix of the x-th power station, Q 1x is the power generation of the xth power station in the first monitoring cycle, Q 2x is the power generation of the xth power station in the second monitoring cycle, Q 3x is the power generation of the xth power station in the third monitoring cycle, Q 4x is the power generation of the xth power station in the fourth monitoring cycle, Q (I-1)x is the power generation of the xth power station in the I-1th monitoring period, Q Ix is the power generation of the xth power station in the Ith monitoring cycle;

[0040] Get the mean of all matrix elements in any row except the first row in the current power generation prediction matrix of the x-th power station, and set the value of any column in the current power generation prediction matrix of the x-th power station to a value equal to the mean of all matrix elements in any row except the first row, so as to obtain a new matrix, and take the rank of the new matrix as the power generation of the x-th power station in the I+1-th monitoring period.

[0041] Preferably, the emergency energy storage adjustment plan is generated based on the preset power consumption of the power consumption area in the next monitoring period and the power generation in the next monitoring period, including:

[0042] Calculate the preset power generation value difference for the next monitoring cycle: ΔQ = Q (I+1)x -Q (O+1)x (5); where ΔQ is the preset power generation value difference of the next monitoring cycle, Q (I+1)x is the power generation of the xth power station in the I+1th monitoring period, Q (O+1)x The power consumption in the power consumption area in the I+1th monitoring cycle;

[0043] When ΔQ is a negative number, the power in the emergency energy storage system is turned on and checked. If the sum of the current power of the emergency energy storage system and the power generation of the x-th power station in the I+1th monitoring cycle is greater than the power consumption of the power consumption area in the I+1th monitoring cycle, the emergency photovoltaic modules will not be laid. Otherwise, new photovoltaic modules will be laid in the power station to serve as emergency photovoltaic modules or remote power call will be made.

[0044] Preferably, when remote electric energy is called, the numerical difference of the preset power consumption of each power station in the next monitoring cycle is checked, and the top three power stations with the largest numerical difference of the preset power consumption in the next monitoring cycle among the power stations with positive numerical difference of the preset power consumption in the next monitoring cycle are selected as remote transmission power stations to transmit electricity to the power station that currently needs remote electric energy call.

[0045] A centralized control system for a new energy power station, comprising:

[0046] Operation data collection module, used to collect real-time operation data of photovoltaic modules in each power station;

[0047] The response adjustment plan generation module evaluates the energy efficiency of each power station based on the real-time operation data of the photovoltaic components of each power station, analyzes the energy efficiency evaluation results of each power station, and generates and executes the response adjustment plan;

[0048] The emergency energy storage adjustment plan generation module predicts the power supply of the corresponding photovoltaic components in the next cycle based on the real-time operation data of the power station photovoltaic components after the execution of the response adjustment plan, and generates an emergency energy storage adjustment plan based on the preset power consumption of the power application area.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention realizes refined management of photovoltaic power stations, improves overall energy utilization efficiency, can timely discover and solve problems in power station operation, ensure stable operation of the power station, effectively respond to future changes in electricity demand through prediction and adjustment, and improves the flexibility and reliability of the power system;

[0051] The present invention reduces manual intervention and improves work efficiency through data collection, and can adapt to the management requirements of large-scale power stations and realize coordinated control and resource sharing among multiple power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying 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 and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 It is a schematic diagram of a centralized control method for a new energy power station according to the present invention. DETAILED DESCRIPTION

[0054] The preferred embodiments of the present invention are described below in conjunction with the accompanying 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.

[0055] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0056] The present invention provides the following embodiments

[0057] Example 1

[0058] The embodiment of the present invention provides a centralized control method and system for a new energy power station, such as Figure 1 As shown, including:

[0059] S1. Collect real-time operating data of photovoltaic modules in each power station;

[0060] S2. Based on the real-time operating data of the photovoltaic modules of each power station, perform energy efficiency evaluation on each power station, analyze the energy efficiency evaluation results of each power station, and generate and implement response adjustment plans;

[0061] S3. Based on the real-time operation data of the photovoltaic modules of the power station after the implementation of the response adjustment plan, the power supply of the corresponding photovoltaic modules in the next cycle is predicted, and based on the preset power consumption of the power application area, an emergency energy storage adjustment plan is generated.

[0062] A centralized control system for a new energy power station, comprising:

[0063] Operation data collection module, used to collect real-time operation data of photovoltaic modules in each power station;

[0064] The response adjustment plan generation module evaluates the energy efficiency of each power station based on the real-time operation data of the photovoltaic components of each power station, analyzes the energy efficiency evaluation results of each power station, and generates and executes the response adjustment plan;

[0065] The emergency energy storage adjustment plan generation module predicts the power supply of the corresponding photovoltaic components in the next cycle based on the real-time operation data of the power station photovoltaic components after the execution of the response adjustment plan, and generates an emergency energy storage adjustment plan based on the preset power consumption of the power application area.

[0066] The working principle and beneficial effects of the above technical solution are as follows: the present invention realizes the refined management of photovoltaic power stations, improves the overall energy utilization efficiency, can timely discover and solve problems in the operation of power stations, ensure the stable operation of power stations, effectively respond to future changes in electricity demand through prediction and adjustment, and improve the flexibility and reliability of the power system;

[0067] The present invention reduces manual intervention and improves work efficiency through data collection, and can adapt to the management requirements of large-scale power stations and realize coordinated control and resource sharing among multiple power stations.

[0068] Example 2

[0069] Based on Example 1, step S2 includes:

[0070] S21. Calculate the energy efficiency of each power station in each monitoring period based on the real-time operation data of the photovoltaic components of each power station;

[0071] S22. Based on the energy efficiency of each power station in each monitoring period, perform energy efficiency evaluation on each power station.

[0072] The working principle and beneficial effects of the above technical solution are: energy efficiency evaluation of each power station improves the accuracy of energy efficiency evaluation, helps to discover and solve problems in a timely manner, monitors the operating status of the power station more carefully, and improves the safety and stability of the power station operation.

[0073] Example 3

[0074] On the basis of Example 2, based on the real-time operation data of the photovoltaic components of each power station, the energy efficiency of each power station in each monitoring cycle is calculated:

[0075] Among them, σ ix is the energy efficiency of the xth power station in the ith monitoring period, ω ix is the actual output power of the xth power station at the jth moment in the ith monitoring period, η x is the working efficiency of the inverter corresponding to the x-th power station, e is a natural number, the value is 2.71, A x is the coverage area of ​​the photovoltaic panels of the x-th power station, is the solar radiation intensity at the jth moment of the xth power station in the ith monitoring period, and m is the total number of moments in the ith monitoring period.

[0076] The working principle and beneficial effects of the above technical solution are: through precise formula calculation, the accuracy of energy efficiency evaluation is improved, which helps to more finely manage and optimize power plant operation.

[0077] Example 4

[0078] On the basis of Example 3, based on the energy efficiency of each power station in each monitoring period, the energy efficiency evaluation of each power station includes:

[0079] S221, used to compare the energy efficiency of each power station in each monitoring cycle. When the energy efficiency of the power station for five consecutive monitoring cycles is less than the first energy efficiency of the preset monitoring cycle, it is determined that the power station is faulty and the power station is repaired;

[0080] When the energy efficiency of the power station for five consecutive monitoring cycles is greater than the first energy efficiency of the preset monitoring cycle and less than the second energy efficiency of the preset monitoring cycle, it is judged that the energy efficiency of the power station is poor;

[0081] When the energy efficiency of the power plant for five consecutive monitoring cycles is greater than the second energy efficiency of the preset monitoring cycle, the power plant is judged to be operating well;

[0082] S222. Calculate the energy efficiency fluctuation coefficient of each power station with poor energy efficiency:

[0083] Among them, Q ix is the energy efficiency fluctuation coefficient of the x-th power station with poor energy efficiency, n is the total number of monitoring cycles of the x-th power station, and δ is the light intensity compensation coefficient;

[0084] When ∈ ix When it is a negative number, it proves that the reason for the poor energy efficiency of the x-th power station is that the photovoltaic modules are shaded, and the photovoltaic modules should be cleaned;

[0085] Otherwise, the reason for the poor energy efficiency of the xth power station is poor electrical connection, and the power station is repaired.

[0086] The working principle and beneficial effects of the above technical solution are: it can timely discover and handle power station faults and problems, improve the reliability and safety of the power station, and carry out targeted maintenance and optimization through specific cause analysis, thereby improving the overall performance of the power station.

[0087] Example 5

[0088] Based on Example 4, cleaning the photovoltaic module includes:

[0089] Real-time image acquisition of the surface of photovoltaic modules in power stations where photovoltaic modules are shaded;

[0090] Obtain the pixel value of each pixel point in several photovoltaic module surface images collected at each moment, and calculate the pixel mean value of adjacent pixel points corresponding to each pixel point of each photovoltaic module surface image, and use it as the calculation pixel of the pixel point corresponding to the photovoltaic module surface image;

[0091] Calculate the sum of calculated pixels of corresponding pixel points on several photovoltaic module surface images collected at each moment, and use the quotient of the sum of calculated pixels of corresponding pixel points on several photovoltaic module surface images and the total number of photovoltaic module surface images collected at each moment as the photovoltaic module background pixel value of the pixel point, and use the image composed of the photovoltaic module background pixel value of each pixel point as the photovoltaic module background image;

[0092] Calculate the absolute value of the difference between the actual pixel value of each pixel point in each photovoltaic module surface image and the pixel value of the photovoltaic module background; when the absolute value of the difference between the actual pixel value of the pixel point and the pixel value of the photovoltaic module background is greater than the preset pixel difference, mark the pixel point as a pixel point of the area to be cleaned, and the area formed by all the pixels of the area to be cleaned is the area to be cleaned;

[0093] The dirt thickness of the area to be cleaned is collected, and based on the area of ​​the coal accumulation area, the cleaning intensity level coefficient of the area to be cleaned is calculated:

[0094] Among them, U is the cleaning intensity level coefficient of the area to be cleaned, α is the cleaning intensity correction coefficient, e is a natural number, the value is 2.71, h1 is the dirt thickness in the area to be cleaned, h0 is the preset thickness of the dirt, S1 is the area of ​​the area to be cleaned, and S0 is the area of ​​the photovoltaic modules of the corresponding power station.

[0095] The working principle and beneficial effects of the above technical solution are as follows: the above cleaning method can accurately locate the area to be cleaned, and automatically and reliably clean the photovoltaic modules based on the actual coverage conditions.

[0096] Example 6

[0097] On the basis of Example 1, based on the real-time operation data of the photovoltaic components of the power station after the implementation of the response adjustment plan, the power supply of the corresponding photovoltaic components in the next cycle is predicted, and based on the preset power consumption of the power application area, an emergency energy storage adjustment plan is generated, including:

[0098] S31, generating a power curve graph with time as the horizontal axis and the real-time output power of the photovoltaic components as the vertical axis based on the real-time operation data of the photovoltaic components of the power station after the response adjustment plan is executed;

[0099] S32. Calculate the power generation of the current power station in each monitoring cycle based on the power curve:

[0100] Among them, Q Ix is the power generation of the xth power station in the Ith monitoring period, and P(t) represents the power curve;

[0101] S33, based on the power generation of the power station in each monitoring period after the response adjustment plan is implemented, construct a power generation prediction matrix of the xth power station, and predict the power generation of the power station in the next monitoring period;

[0102] S34, calculating the average power consumption of the power consumption area before the first monitoring cycle, and using it as the preset power consumption of the power consumption area in the next monitoring cycle;

[0103] S35. Generate an emergency energy storage adjustment plan based on the preset power consumption of the power consumption area in the next monitoring period and the power generation in the next monitoring period.

[0104] The working principle and beneficial effects of the above technical solution are as follows: through detailed power generation forecasting, the flexibility and reliability of the power system are improved, and through the emergency energy storage adjustment plan, the balance of power supply and demand is ensured and the stability of the system is improved.

[0105] Example 7

[0106] Based on Example 6, step S33 includes:

[0107] The power generation of each monitoring period of the x-th power station is arranged in time series to form a power generation series based on time series;

[0108] Based on the power generation series, the current power generation prediction matrix of the x-th power station is constructed:

[0109]

[0110] in, is the current power generation prediction matrix of the x-th power station, Q 1x is the power generation of the xth power station in the first monitoring cycle, Q 2x is the power generation of the xth power station in the second monitoring cycle, Q 3x is the power generation of the xth power station in the third monitoring cycle, Q 4x is the power generation of the xth power station in the fourth monitoring cycle, Q (I-1)x is the power generation of the xth power station in the I-1th monitoring period, Q Ix is the power generation of the xth power station in the Ith monitoring cycle;

[0111] Get the mean of all matrix elements in any row except the first row in the current power generation prediction matrix of the x-th power station, and set the value of any column in the current power generation prediction matrix of the x-th power station to a value equal to the mean of all matrix elements in any row except the first row, so as to obtain a new matrix, and take the rank of the new matrix as the power generation of the x-th power station in the I+1-th monitoring period.

[0112] The working principle and beneficial effects of the above technical solution are: through detailed power generation series and prediction matrix, the accuracy of power generation prediction is improved, which helps to better plan and adjust the operation strategy of the power station and improve the operation efficiency of the power system.

[0113] Example 8

[0114] On the basis of Example 6, an emergency energy storage adjustment plan is generated based on the preset power consumption of the power consumption area in the next monitoring period and the power generation in the next monitoring period, including:

[0115] Calculate the preset power generation value difference for the next monitoring cycle: ΔQ = Q (I+1)x -Q (O+1)x (5); where ΔQ is the preset power generation value difference of the next monitoring cycle, Q (I+1)x is the power generation of the xth power station in the I+1th monitoring period, Q (O+1)x The power consumption in the power consumption area in the I+1th monitoring cycle;

[0116] When ΔQ is a negative number, the power in the emergency energy storage system is turned on and checked. If the sum of the current power of the emergency energy storage system and the power generation of the x-th power station in the I+1th monitoring cycle is greater than the power consumption of the power consumption area in the I+1th monitoring cycle, the emergency photovoltaic modules will not be laid. Otherwise, new photovoltaic modules will be laid in the power station to serve as emergency photovoltaic modules or remote power call will be performed.

[0117] When remote power call is made, the difference in the preset power consumption value of each power station in the next monitoring cycle is checked, and the top three power stations with the largest difference in the preset power consumption value of the next monitoring cycle among the power stations with positive difference in the preset power consumption value of the next monitoring cycle are selected as remote transmission power stations to transmit power to the power station that currently needs remote power call.

[0118] The working principle and beneficial effects of the above technical solution are as follows: through detailed analysis of the difference in numerical values ​​of preset power generation, the flexibility and reliability of the power system are improved, and through remote power call, the rational allocation of power resources is achieved, thereby improving the overall efficiency of the power system.

[0119] 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 equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A centralized control method for a new energy power station, characterized in that: include: S1. Collect real-time operating data of photovoltaic modules in each power station; S2. Based on the real-time operating data of the photovoltaic modules of each power station, perform energy efficiency evaluation on each power station, analyze the energy efficiency evaluation results of each power station, and generate and implement response adjustment plans; S3. Based on the real-time operation data of the photovoltaic modules of the power station after the implementation of the response adjustment plan, the power supply of the corresponding photovoltaic modules in the next cycle is predicted, and based on the preset power consumption of the power application area, an emergency energy storage adjustment plan is generated.

2. A centralized control method for a new energy power station according to claim 1, characterized in that: Step S2 includes: S21. Calculate the energy efficiency of each power station in each monitoring period based on the real-time operation data of the photovoltaic components of each power station; S22. Based on the energy efficiency of each power station in each monitoring period, perform energy efficiency evaluation on each power station.

3. A centralized control method for a new energy power station according to claim 2, characterized in that: Based on the real-time operating data of each power station's photovoltaic modules, the energy efficiency of each power station in each monitoring cycle is calculated: Among them, σ ix is the energy efficiency of the xth power station in the ith monitoring period, ω ix is the actual output power of the xth power station at the jth moment in the ith monitoring period, η x is the working efficiency of the inverter corresponding to the x-th power station, e is a natural number, the value is 2.71, A x is the coverage area of ​​the photovoltaic panels of the x-th power station, is the solar radiation intensity at the jth moment of the xth power station in the ith monitoring period, and m is the total number of moments in the ith monitoring period.

4. A centralized control method for a new energy power station according to claim 3, characterized in that: Based on the energy efficiency of each power plant in each monitoring period, the energy efficiency evaluation of each power plant includes: S221, used to compare the energy efficiency of each power station in each monitoring cycle. When the energy efficiency of the power station for five consecutive monitoring cycles is less than the first energy efficiency of the preset monitoring cycle, it is determined that the power station is faulty and the power station is repaired; When the energy efficiency of the power station for five consecutive monitoring cycles is greater than the first energy efficiency of the preset monitoring cycle and less than the second energy efficiency of the preset monitoring cycle, it is judged that the energy efficiency of the power station is poor; When the energy efficiency of the power plant for five consecutive monitoring cycles is greater than the second energy efficiency of the preset monitoring cycle, the power plant is judged to be operating well; S222. Calculate the energy efficiency fluctuation coefficient of each power station with poor energy efficiency: Among them, ∈ ix is the energy efficiency fluctuation coefficient of the x-th power station with poor energy efficiency, n is the total number of monitoring cycles of the x-th power station, and δ is the light intensity compensation coefficient; When ∈ ix When it is a negative number, it proves that the reason for the poor energy efficiency of the x-th power station is that the photovoltaic modules are shaded, and the photovoltaic modules should be cleaned; Otherwise, the reason for the poor energy efficiency of the xth power station is poor electrical connection, and the power station is repaired.

5. A centralized control method for a new energy power station according to claim 4, characterized in that: Cleaning of photovoltaic modules includes: Real-time image acquisition of the surface of photovoltaic modules in power stations where photovoltaic modules are shaded; Obtain the pixel value of each pixel point in several photovoltaic module surface images collected at each moment, and calculate the pixel mean value of adjacent pixel points corresponding to each pixel point of each photovoltaic module surface image, and use it as the calculation pixel of the pixel point corresponding to the photovoltaic module surface image; Calculate the sum of calculated pixels of corresponding pixel points on several photovoltaic module surface images collected at each moment, and use the quotient of the sum of calculated pixels of corresponding pixel points on several photovoltaic module surface images and the total number of photovoltaic module surface images collected at each moment as the photovoltaic module background pixel value of the pixel point, and use the image composed of the photovoltaic module background pixel value of each pixel point as the photovoltaic module background image; Calculate the absolute value of the difference between the actual pixel value of each pixel point in each photovoltaic module surface image and the pixel value of the photovoltaic module background; when the absolute value of the difference between the actual pixel value of the pixel point and the pixel value of the photovoltaic module background is greater than the preset pixel difference, mark the pixel point as a pixel point of the area to be cleaned, and the area formed by all the pixels of the area to be cleaned is the area to be cleaned; The dirt thickness of the area to be cleaned is collected, and based on the area of ​​the coal accumulation area, the cleaning intensity level coefficient of the area to be cleaned is calculated: Among them, U is the cleaning intensity level coefficient of the area to be cleaned, α is the cleaning intensity correction coefficient, e is a natural number, the value is 2.71, h1 is the dirt thickness in the area to be cleaned, h0 is the preset thickness of the dirt, S1 is the area of ​​the area to be cleaned, and S0 is the area of ​​the photovoltaic modules of the corresponding power station.

6. A centralized control method for a new energy power station according to claim 1, characterized in that: Based on the real-time operation data of the power station photovoltaic modules after the implementation of the response adjustment plan, the power supply of the corresponding photovoltaic modules in the next cycle is predicted, and based on the preset power consumption of the power application area, an emergency energy storage adjustment plan is generated, including: S31, generating a power curve graph with time as the horizontal axis and the real-time output power of the photovoltaic components as the vertical axis based on the real-time operation data of the photovoltaic components of the power station after the response adjustment plan is executed; S32. Calculate the power generation of the current power station in each monitoring cycle based on the power curve: Among them, Q Ix is the power generation of the xth power station in the Ith monitoring period, and P(t) represents the power curve; S33, based on the power generation of the power station in each monitoring period after the response adjustment plan is implemented, construct a power generation prediction matrix of the xth power station, and predict the power generation of the power station in the next monitoring period; S34, calculating the average power consumption of the power consumption area before the first monitoring cycle, and using it as the preset power consumption of the power consumption area in the next monitoring cycle; S35. Generate an emergency energy storage adjustment plan based on the preset power consumption of the power consumption area in the next monitoring period and the power generation in the next monitoring period.

7. A centralized control method for a new energy power station according to claim 6, characterized in that: Step S33 includes: The power generation of each monitoring period of the x-th power station is arranged in time series to form a power generation series based on time series; Based on the power generation series, the current power generation prediction matrix of the x-th power station is constructed: in, is the current power generation prediction matrix of the x-th power station, Q 1x is the power generation of the xth power station in the first monitoring cycle, Q 2x is the power generation of the xth power station in the second monitoring cycle, Q 3x is the power generation of the xth power station in the third monitoring cycle, Q 4x is the power generation of the xth power station in the fourth monitoring cycle, Q (I-1)x is the power generation of the xth power station in the I-1th monitoring period, Q Ix is the power generation of the xth power station in the Ith monitoring cycle; Get the mean of all matrix elements in any row except the first row in the current power generation prediction matrix of the x-th power station, and set the value of any column in the current power generation prediction matrix of the x-th power station to a value equal to the mean of all matrix elements in any row except the first row, so as to obtain a new matrix, and take the rank of the new matrix as the power generation of the x-th power station in the I+1-th monitoring period.

8. A centralized control method for a new energy power station according to claim 6, characterized in that: Generate an emergency energy storage adjustment plan based on the preset power consumption of the power consumption area in the next monitoring period and the power generation in the next monitoring period, including: Calculate the preset power generation value difference for the next monitoring cycle: ΔQ = Q (I+1)x -Q (O+1)x (5); where ΔQ is the preset power generation value difference of the next monitoring cycle, Q (I+1)x is the power generation of the xth power station in the I+1th monitoring period, Q (O+1)x The power consumption in the power consumption area in the I+1th monitoring cycle; When ΔQ is a negative number, the power in the emergency energy storage system is turned on and checked. If the sum of the current power of the emergency energy storage system and the power generation of the x-th power station in the I+1th monitoring cycle is greater than the power consumption of the power consumption area in the I+1th monitoring cycle, the emergency photovoltaic modules will not be laid. Otherwise, new photovoltaic modules will be laid in the power station to serve as emergency photovoltaic modules or remote power call will be made.

9. A centralized control method for a new energy power station according to claim 8, characterized in that: When remote power call is made, the difference in the preset power consumption value of each power station in the next monitoring cycle is checked, and the top three power stations with the largest difference in the preset power consumption value of the next monitoring cycle among the power stations with positive difference in the preset power consumption value of the next monitoring cycle are selected as remote transmission power stations to transmit power to the power station that currently needs remote power call.

10. A new energy power station centralized control system, used to execute a new energy power station centralized control method according to any one of claims 1 to 9, characterized in that: include: Operation data collection module, used to collect real-time operation data of photovoltaic modules in each power station; The response adjustment plan generation module evaluates the energy efficiency of each power station based on the real-time operation data of the photovoltaic components of each power station, analyzes the energy efficiency evaluation results of each power station, and generates and executes the response adjustment plan; The emergency energy storage adjustment plan generation module predicts the power supply of the corresponding photovoltaic components in the next cycle based on the real-time operation data of the power station photovoltaic components after the execution of the response adjustment plan, and generates an emergency energy storage adjustment plan based on the preset power consumption of the power application area.

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