Photovoltaic power station night operation state monitoring system

Abstract

The invention relates to photovoltaic power station monitoring, in particular to a photovoltaic power station night operation state monitoring system, which comprises a server, and is characterized in that the server acquires equipment state data and environmental factor data through an equipment state data acquisition module and an environmental factor data acquisition module respectively, acquires historical operation data by using a historical operation data acquisition module, and transmits the historical operation data to a server; the server performs data analysis on the equipment state data, the environmental factor data and the historical operation data through a data analysis module; the server collects the operation data of the photovoltaic power station in the daytime through the operation data collection module, and judges a fault area according to the operation data of the photovoltaic power station through the fault area judgment module. The technical scheme provided by the invention can effectively overcome the defects that the judgment of the running state of the photovoltaic power station is deviated due to inaccurate data acquisition in the prior art, and the fault area is difficult to accurately judge and the target image is difficult to acquire by using the running data of the photovoltaic power station acquired in the daytime.

Description

Technical Field

[0001] The invention relates to photovoltaic power station monitoring, and in particular to a nighttime operation status monitoring system of a photovoltaic power station. Background Art

[0002] With the widespread application of photovoltaic power stations, their operating status monitoring has become an important part of ensuring the safe and efficient operation of the power station. Especially at night, due to changes in lighting conditions, the operating status of photovoltaic power stations may be affected to a certain extent, so it is particularly important to monitor their operating status at night.

[0003] Traditional photovoltaic power station monitoring systems mainly focus on monitoring the daytime operating status, while relatively less on monitoring the nighttime operating status. This results in some abnormal situations in photovoltaic power stations being difficult to detect and handle in a timely manner at night, thus affecting the stability and safety of the power station.

[0004] In order to solve the above problems, in recent years, the nighttime operation status monitoring system of photovoltaic power stations has gradually become a research hotspot. This type of system ensures the safe and stable operation of photovoltaic power stations by real-time monitoring of the nighttime operation status of photovoltaic power stations. However, there are still some problems with the existing nighttime operation status monitoring system of photovoltaic power stations. For example, some system data collection is inaccurate, resulting in deviations in the judgment of the operation status of photovoltaic power stations; it is difficult to accurately judge the fault area using the photovoltaic power station operation data collected during the day, and effectively collect the target image of the fault area. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a photovoltaic power station nighttime operation status monitoring system, which can effectively overcome the defects of the prior art such as inaccurate data collection leading to deviations in the judgment of the operation status of the photovoltaic power station, and difficulty in accurately judging the fault area and collecting target images using the photovoltaic power station operation data collected during the day.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A nighttime operation status monitoring system for a photovoltaic power station includes a server, wherein the server collects device status data and environmental factor data respectively through a device status data collection module and an environmental factor data collection module, and obtains historical operation data through a historical operation data acquisition module, and the server performs data analysis on the device status data, environmental factor data and historical operation data through a data analysis module;

[0010] The server collects the operating data of the photovoltaic power station during the day through the operation data collection module, and uses the fault area judgment module to judge the fault area according to the operating data of the photovoltaic power station. The server collects the environmental data of the photovoltaic power station during the day through the environmental data collection module, and uses the environmental state judgment module to judge the environmental state according to the environmental data of the photovoltaic power station. The server collects the target image of the fault area during the day through the image collection module, and uses the image preprocessing module to preprocess the target image according to the environmental state. The server stores the preprocessed target image through the image storage module.

[0011] Preferably, the device status data acquisition module acquires device status data including battery pack voltage data, battery pack current data, inverter status data and combiner box status data;

[0012] The environmental factor data collection module collects environmental factor data including temperature data, humidity data, wind speed data and wind direction data;

[0013] The historical operation data acquisition module acquires historical operation data including the power generation, power generation, operating voltage and operating current of the photovoltaic power station.

[0014] Preferably, the data analysis module performs data analysis on the device status data, including:

[0015] Monitor and analyze the battery pack voltage data and battery pack current data to ensure that the battery pack is in normal working condition;

[0016] Monitor the inverter temperature, cooling fan status and fault alarm information according to the inverter status data to ensure that the inverter is in normal working condition;

[0017] Monitor the voltage, current and fuse status of each DC input based on the combiner box status data to detect line faults or component abnormalities in a timely manner.

[0018] Preferably, the data analysis module performs data analysis on the environmental factor data, including:

[0019] Monitor and analyze temperature data to determine whether it will cause battery pack performance degradation and affect power generation efficiency the next day;

[0020] Monitor and analyze humidity data to determine whether condensation or dust accumulation will occur on the surface of photovoltaic panels, affecting the power generation performance of the next day;

[0021] Monitor and analyze wind speed and direction data to determine the climate characteristics of the area where the photovoltaic power station is located and assist in formulating operation and maintenance plans.

[0022] Preferably, the data analysis module performs data analysis on historical operation data, including:

[0023] The historical operation data including the power generation, power generation, operating voltage and operating current of the photovoltaic power station are monitored and analyzed to obtain the operating status and performance of the photovoltaic power station during the day.

[0024] Preferably, the fault area determination module determines the fault area according to the operation data of the photovoltaic power station, including:

[0025] Correcting the active power using the first power correction coefficient to obtain an active power correction value;

[0026] Correcting the reactive power using the second power correction coefficient to obtain a reactive power correction value;

[0027] Input the active power correction value, reactive power correction value and irradiance into the pre-trained fault diagnosis model to obtain the fault diagnosis coefficient of the photovoltaic module;

[0028] The area to which the photovoltaic modules with a fault diagnosis coefficient greater than a preset threshold belong is regarded as the fault area;

[0029] Among them, the operating data of the photovoltaic power station includes the active power, reactive power and irradiance of each photovoltaic module.

[0030] Preferably, the environmental status judgment module judges the environmental status according to the environmental data of the photovoltaic power station, including:

[0031] Normalize the illuminance and wind speed data in the area where the photovoltaic power station is located;

[0032] A light state matrix is ​​constructed according to the normalized illuminance, and a wind speed state matrix is ​​constructed according to the normalized wind speed data;

[0033] The illumination state matrix and the wind speed state matrix are fused to obtain the environment state fusion matrix;

[0034] Determine the environmental state according to the environmental state fusion matrix;

[0035] Among them, the environmental data of the photovoltaic power station includes the illuminance and wind speed data of the area where the photovoltaic power station is located.

[0036] Preferably, judging the environment state according to the environment state fusion matrix includes:

[0037] Calculate the rank of the environment state fusion matrix;

[0038] Calculate the average illuminance and wind speed of several monitoring points, and use the average of the average illuminance and wind speed of several monitoring points as the environmental state threshold;

[0039] If the rank of the environmental state fusion matrix is ​​greater than the environmental state threshold, it is judged that the current light in the area where the photovoltaic power station is located is sufficient; otherwise, it is judged that the current light in the area where the photovoltaic power station is located is dim.

[0040] Preferably, the image preprocessing module preprocesses the target image according to the environmental state, including:

[0041] If the area where the photovoltaic power station is located currently has sufficient sunlight, the target image is smoothed, denoised, and sharpened in sequence;

[0042] If the current light in the area where the photovoltaic power station is located is dim, the target image is smoothed, denoised, enhanced, and sharpened in sequence.

[0043] (III) Beneficial effects

[0044] Compared with the prior art, the photovoltaic power station nighttime operation status monitoring system provided by the present invention has the following beneficial effects:

[0045] 1) The equipment status data acquisition module and the environmental factor data acquisition module respectively collect equipment status data and environmental factor data, the historical operation data acquisition module obtains historical operation data, and the data analysis module analyzes the equipment status data, environmental factor data and historical operation data. By collecting equipment status data, environmental factor data and historical operation data and analyzing these collected data, the operating status of the photovoltaic power station can be accurately determined;

[0046] 2) The operation data acquisition module collects the operation data of the photovoltaic power station during the day, the fault area judgment module judges the fault area according to the operation data of the photovoltaic power station, the environmental data acquisition module collects the environmental data of the photovoltaic power station during the day, the environmental state judgment module judges the environmental state according to the environmental data of the photovoltaic power station, the image acquisition module collects the target image of the fault area during the day, and the image preprocessing module preprocesses the target image according to the environmental state. It can use the photovoltaic power station operation data collected during the day to accurately judge the fault area, and perform image processing on the target image of the collected fault area according to the current lighting conditions in the area where the photovoltaic power station is located, so as to obtain a clearer target image, which is helpful to timely discover and deal with abnormal situations and ensure the safe and stable operation of the photovoltaic power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 It is a system schematic diagram of the present invention;

[0049] Figure 2 It is a schematic diagram of a process of judging the environmental status according to the environmental data of the photovoltaic power station in the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0051] A nighttime operation status monitoring system for a photovoltaic power station, such as Figure 1 As shown, it includes a server, which collects equipment status data and environmental factor data respectively through an equipment status data collection module and an environmental factor data collection module, and uses a historical operation data acquisition module to obtain historical operation data. The server performs data analysis on the equipment status data, environmental factor data and historical operation data through a data analysis module.

[0052] ① The equipment status data acquisition module collects equipment status data including battery pack voltage data, battery pack current data, inverter status data and combiner box status data;

[0053] The environmental factor data collection module collects environmental factor data including temperature data, humidity data, wind speed data and wind direction data;

[0054] The historical operation data acquisition module acquires historical operation data including the power generation, power generation, operating voltage and operating current of the photovoltaic power station.

[0055] ②The data analysis module performs data analysis on the equipment status data, including:

[0056] Monitor and analyze the battery pack voltage data and battery pack current data to ensure that the battery pack is in normal working condition;

[0057] Monitor the inverter temperature, cooling fan status and fault alarm information according to the inverter status data to ensure that the inverter is in normal working condition;

[0058] Monitor the voltage, current and fuse status of each DC input based on the combiner box status data to detect line faults or component abnormalities in a timely manner.

[0059] ③The data analysis module performs data analysis on environmental factor data, including:

[0060] Monitor and analyze temperature data to determine whether it will cause battery pack performance degradation and affect power generation efficiency the next day;

[0061] Monitor and analyze humidity data to determine whether condensation or dust accumulation will occur on the surface of photovoltaic panels, affecting the power generation performance of the next day;

[0062] Monitor and analyze wind speed and direction data to determine the climate characteristics of the area where the photovoltaic power station is located and assist in formulating operation and maintenance plans.

[0063] ④The data analysis module performs data analysis on historical operation data, including:

[0064] The historical operation data including the power generation, power generation, operating voltage and operating current of the photovoltaic power station are monitored and analyzed to obtain the operating status and performance of the photovoltaic power station during the day.

[0065] In the above technical solution, the equipment status data acquisition module and the environmental factor data acquisition module respectively collect equipment status data and environmental factor data, the historical operation data acquisition module obtains historical operation data, and the data analysis module performs data analysis on the equipment status data, environmental factor data and historical operation data. By collecting equipment status data, environmental factor data and historical operation data and performing data analysis on these collected data, the operating status of the photovoltaic power station can be accurately judged.

[0066] like Figure 1 As shown, the server collects the operating data of the photovoltaic power station during the day through the operation data acquisition module, and uses the fault area judgment module to judge the fault area according to the operating data of the photovoltaic power station. The server collects the environmental data of the photovoltaic power station during the day through the environmental data acquisition module, and uses the environmental state judgment module to judge the environmental state according to the environmental data of the photovoltaic power station. The server collects the target image of the fault area during the day through the image acquisition module, and uses the image preprocessing module to preprocess the target image according to the environmental state. The server stores the preprocessed target image through the image storage module.

[0067] ① The fault area judgment module judges the fault area according to the operation data of the photovoltaic power station, including:

[0068] Correcting the active power using the first power correction coefficient to obtain an active power correction value;

[0069] Correcting the reactive power using the second power correction coefficient to obtain a reactive power correction value;

[0070] Input the active power correction value, reactive power correction value and irradiance into the pre-trained fault diagnosis model to obtain the fault diagnosis coefficient of the photovoltaic module;

[0071] The area to which the photovoltaic modules with a fault diagnosis coefficient greater than a preset threshold belong is regarded as the fault area;

[0072] Among them, the operating data of the photovoltaic power station includes the active power, reactive power and irradiance of each photovoltaic module.

[0073] ② If Figure 2 As shown, the environmental status judgment module judges the environmental status according to the environmental data of the photovoltaic power station, including:

[0074] Normalize the illuminance and wind speed data in the area where the photovoltaic power station is located;

[0075] A light state matrix is ​​constructed according to the normalized illuminance, and a wind speed state matrix is ​​constructed according to the normalized wind speed data;

[0076] The illumination state matrix and the wind speed state matrix are fused to obtain the environment state fusion matrix;

[0077] Determine the environmental state according to the environmental state fusion matrix;

[0078] Among them, the environmental data of the photovoltaic power station includes the illuminance and wind speed data of the area where the photovoltaic power station is located.

[0079] Specifically, judging the environment state according to the environment state fusion matrix includes:

[0080] Calculate the rank of the environment state fusion matrix;

[0081] Calculate the average illuminance and wind speed of several monitoring points, and use the average of the average illuminance and wind speed of several monitoring points as the environmental state threshold;

[0082] If the rank of the environmental state fusion matrix is ​​greater than the environmental state threshold, it is judged that the current light in the area where the photovoltaic power station is located is sufficient; otherwise, it is judged that the current light in the area where the photovoltaic power station is located is dim.

[0083] ③The image preprocessing module preprocesses the target image according to the environmental state, including:

[0084] If the area where the photovoltaic power station is located currently has sufficient sunlight, the target image is smoothed, denoised, and sharpened in sequence;

[0085] If the current light in the area where the photovoltaic power station is located is dim, the target image is smoothed, denoised, enhanced, and sharpened in sequence.

[0086] In the above technical scheme, the operation data acquisition module collects the operation data of the photovoltaic power station during the day, the fault area judgment module judges the fault area according to the operation data of the photovoltaic power station, the environmental data acquisition module collects the environmental data of the photovoltaic power station during the day, the environmental state judgment module judges the environmental state according to the environmental data of the photovoltaic power station, the image acquisition module collects the target image of the fault area during the day, and the image preprocessing module preprocesses the target image according to the environmental state. The photovoltaic power station operation data collected during the day can be used to accurately judge the fault area, and the target image of the collected fault area can be processed according to the current lighting conditions of the area where the photovoltaic power station is located, so as to obtain a clearer target image, which is helpful to timely discover and deal with abnormal situations and ensure the safe and stable operation of the photovoltaic power station.

[0087] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A nighttime operation status monitoring system for a photovoltaic power station, characterized in that: The server includes a server, wherein the server collects device status data and environmental factor data respectively through a device status data collection module and an environmental factor data collection module, and obtains historical operation data through a historical operation data acquisition module, and the server performs data analysis on the device status data, environmental factor data and historical operation data through a data analysis module; The server collects the operating data of the photovoltaic power station during the day through the operation data collection module, and uses the fault area judgment module to judge the fault area according to the operating data of the photovoltaic power station. The server collects the environmental data of the photovoltaic power station during the day through the environmental data collection module, and uses the environmental state judgment module to judge the environmental state according to the environmental data of the photovoltaic power station. The server collects the target image of the fault area during the day through the image collection module, and uses the image preprocessing module to preprocess the target image according to the environmental state. The server stores the preprocessed target image through the image storage module.

2. The photovoltaic power station nighttime operation status monitoring system according to claim 1 is characterized by: The device status data acquisition module acquires device status data including battery pack voltage data, battery pack current data, inverter status data and combiner box status data; The environmental factor data collection module collects environmental factor data including temperature data, humidity data, wind speed data and wind direction data; The historical operation data acquisition module acquires historical operation data including the power generation, power generation, operating voltage and operating current of the photovoltaic power station.

3. The photovoltaic power station nighttime operation status monitoring system according to claim 2 is characterized in that: The data analysis module performs data analysis on the device status data, including: Monitor and analyze the battery pack voltage data and battery pack current data to ensure that the battery pack is in normal working condition; Monitor the inverter temperature, cooling fan status and fault alarm information according to the inverter status data to ensure that the inverter is in normal working condition; Monitor the voltage, current and fuse status of each DC input based on the combiner box status data to detect line faults or component abnormalities in a timely manner.

4. The photovoltaic power station nighttime operation status monitoring system according to claim 2 is characterized in that: The data analysis module performs data analysis on the environmental factor data, including: Monitor and analyze temperature data to determine whether it will cause battery pack performance degradation and affect power generation efficiency the next day; Monitor and analyze humidity data to determine whether condensation or dust accumulation will occur on the surface of photovoltaic panels, affecting the power generation performance of the next day; Monitor and analyze wind speed and direction data to determine the climate characteristics of the area where the photovoltaic power station is located and assist in formulating operation and maintenance plans.

5. The photovoltaic power station nighttime operation status monitoring system according to claim 2 is characterized in that: The data analysis module performs data analysis on the historical operation data, including: The historical operation data including the power generation, power generation, operating voltage and operating current of the photovoltaic power station are monitored and analyzed to obtain the operating status and performance of the photovoltaic power station during the day.

6. The photovoltaic power station nighttime operation status monitoring system according to claim 1 is characterized by: The fault area determination module determines the fault area according to the operation data of the photovoltaic power station, including: Correcting the active power using the first power correction coefficient to obtain an active power correction value; Correcting the reactive power using the second power correction coefficient to obtain a reactive power correction value; Input the active power correction value, reactive power correction value and irradiance into the pre-trained fault diagnosis model to obtain the fault diagnosis coefficient of the photovoltaic module; The area to which the photovoltaic modules with a fault diagnosis coefficient greater than a preset threshold belong is regarded as the fault area; Among them, the operating data of the photovoltaic power station includes the active power, reactive power and irradiance of each photovoltaic module.

7. The photovoltaic power station nighttime operation status monitoring system according to claim 6 is characterized by: The environmental status judgment module judges the environmental status according to the environmental data of the photovoltaic power station, including: Normalize the illuminance and wind speed data in the area where the photovoltaic power station is located; A light state matrix is ​​constructed according to the normalized illuminance, and a wind speed state matrix is ​​constructed according to the normalized wind speed data; The illumination state matrix and the wind speed state matrix are fused to obtain the environment state fusion matrix; Determine the environmental state according to the environmental state fusion matrix; Among them, the environmental data of the photovoltaic power station includes the illuminance and wind speed data of the area where the photovoltaic power station is located.

8. The photovoltaic power station nighttime operation status monitoring system according to claim 7 is characterized in that: The determining of the environmental state according to the environmental state fusion matrix includes: Calculate the rank of the environment state fusion matrix; Calculate the average illuminance and wind speed of several monitoring points, and use the average of the average illuminance and wind speed of several monitoring points as the environmental state threshold; If the rank of the environmental state fusion matrix is ​​greater than the environmental state threshold, it is judged that the current light in the area where the photovoltaic power station is located is sufficient; otherwise, it is judged that the current light in the area where the photovoltaic power station is located is dim.

9. The photovoltaic power station nighttime operation status monitoring system according to claim 8, characterized in that: The image preprocessing module preprocesses the target image according to the environmental state, including: If the area where the photovoltaic power station is located currently has sufficient sunlight, the target image is smoothed, denoised, and sharpened in sequence; If the current light in the area where the photovoltaic power station is located is dim, the target image is smoothed, denoised, enhanced, and sharpened in sequence.

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