Intelligent management platform and method for ultra-high altitude photovoltaic equipment

Abstract

The invention relates to the technical field of photovoltaic power station management, in particular to an intelligent management platform and method for ultra-high altitude photovoltaic equipment. The platform integrates a plurality of subsystems of data acquisition, big data analysis, intelligent IV diagnosis, intelligent operation and maintenance and the like, and aims to realize efficient and intelligent management of photovoltaic power station equipment. According to the invention, efficient and accurate operation and maintenance management of the high-altitude mountain photovoltaic power station is realized through intelligent and digital means.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power station management, and in particular to an intelligent management platform and method for ultra-high altitude photovoltaic equipment. Background Art

[0002] As the world pursues the goal of "carbon peak and carbon neutrality", photovoltaic power stations, as an important part of clean energy, are increasingly being built, especially in high-altitude mountainous areas, which are becoming important areas for photovoltaic power station construction due to their rich land resources and excellent lighting conditions. However, high-altitude mountain photovoltaic power stations face many challenges, such as extreme climatic conditions, complex terrain, and difficulty in equipment maintenance, which put forward higher requirements for the intelligent operation and maintenance of photovoltaic power stations.

[0003] The traditional operation and maintenance of photovoltaic power stations mainly relies on manual inspections and regular maintenance. This method is not only inefficient, but also difficult to detect and deal with potential faults in a timely manner, resulting in high operation and maintenance costs and serious power generation losses. With the advancement of science and technology and the development of intelligent technology, intelligent operation and maintenance has become an important way to solve the operation and maintenance problems of high-altitude mountain photovoltaic power stations. By integrating advanced technologies such as digital monitoring, intelligent analysis and diagnosis, and intelligent operation and maintenance scheduling, a comprehensive, efficient, and intelligent operation and maintenance management platform can be built to achieve real-time monitoring, accurate diagnosis, and intelligent scheduling of photovoltaic power stations, improve operation and maintenance efficiency, reduce operation and maintenance costs, and increase power generation. Summary of the invention

[0004] The present invention aims to provide a platform for realizing efficient and accurate operation and maintenance management of photovoltaic power stations in high-altitude mountains through intelligent and digital means, and to provide strong support for the sustainable development of photovoltaic power stations.

[0005] In order to solve the above problems, the present invention provides an ultra-high altitude photovoltaic equipment intelligent management platform, which includes: Data acquisition subsystem: used to collect real-time operating data of photovoltaic modules, inverters, tracking brackets and other equipment in photovoltaic power stations, including but not limited to voltage, current, power, temperature, humidity and light intensity; Big data analysis subsystem: receives data from the data acquisition subsystem and performs pre-processing, storage and analysis; Intelligent IV diagnostic subsystem: Based on intelligent IV (current and voltage) diagnostic technology, it analyzes the collected data and automatically identifies the fault type and location of the photovoltaic module, including but not limited to short circuit, open circuit, aging and other faults; Intelligent operation and maintenance subsystem: Based on the diagnosis results of the intelligent diagnosis subsystem, it automatically generates operation and maintenance tasks and provides them to operation and maintenance personnel for execution, including fault warning, fault location, fault handling suggestions, and optimized operation strategies; Remote monitoring and communication module: Through wireless or wired networks, the platform can achieve remote communication and data interaction with photovoltaic power station sites, operation and maintenance centers, and superior management departments, supporting remote monitoring, remote control, and data sharing functions.

[0006] Beneficial effects: The present invention collects the operating data of various types of equipment in the photovoltaic power station in real time and comprehensively through the data acquisition subsystem, and combined with the efficient processing capability of the big data analysis subsystem, it can quickly identify equipment anomalies and potential faults, significantly improving the response speed and accuracy of operation and maintenance. The intelligent IV diagnosis subsystem further enhances the ability of fault identification, enabling operation and maintenance personnel to quickly locate and handle faults, greatly shortening the fault recovery time and improving the efficiency and quality of operation and maintenance. In addition, the present invention realizes real-time monitoring and accurate diagnosis of photovoltaic power stations through an intelligent operation and maintenance management platform, effectively reducing the frequency of manual inspections and reducing labor costs. At the same time, the intelligent operation and maintenance subsystem can automatically generate operation and maintenance tasks and provide processing suggestions, reducing unnecessary maintenance costs, thereby greatly reducing operation and maintenance costs. Through the real-time monitoring and optimization operation strategy of the photovoltaic power station by the intelligent operation and maintenance management platform, the present invention can ensure that the photovoltaic components are always kept in the best working state, reducing the loss of power generation caused by equipment failure or improper operation. At the same time, the big data analysis subsystem can evaluate the power generation efficiency of the photovoltaic power station, provide optimization suggestions for operation and maintenance personnel, and further improve energy utilization efficiency.

[0007] To sum up, the ultra-high altitude photovoltaic equipment intelligent management platform provided by the present invention realizes efficient and precise operation and maintenance management of high-altitude mountain photovoltaic power stations through intelligent and digital means, which not only improves the operation and maintenance efficiency and power generation, reduces the operation and maintenance costs, but also enhances the safety and stability of power station operation, providing strong support for the sustainable development of photovoltaic power stations.

[0008] Furthermore, the intelligent IV diagnosis subsystem also includes the following functional submodules: data analysis submodule: compare the collected data with the preset standard data or historical data to analyze the operating status of the photovoltaic module; primary scanning submodule: verify whether the ratio of the number of scanned strings and the number of samples meets the standard according to the scanning curve and standard measurement method; secondary scanning verification submodule: perform a secondary scan when the fault is not eliminated to compare whether the original fault reappears; repair verification submodule: re-diagnose the repaired photovoltaic module to confirm whether the fault has been effectively eliminated. Comprehensive and accurate diagnosis of photovoltaic module faults has been achieved, significantly improving the intelligent level of operation and maintenance management.

[0009] Furthermore, the intelligent operation and maintenance subsystem also includes the following submodules: fault warning submodule: predicts and warns of possible faults in advance based on intelligent diagnosis results; fault handling submodule: automatically generates targeted fault handling suggestions based on fault type and location; and optimized operation submodule: dynamically adjusts the operation strategy based on the real-time operation of the photovoltaic power station. This realizes the comprehensive optimization and intelligent management of photovoltaic power station operation and maintenance.

[0010] The present invention also provides an ultra-high altitude photovoltaic equipment intelligent management method based on an ultra-high altitude photovoltaic equipment intelligent management platform, comprising the following steps: Step 1: Collect the operating data of each device in the photovoltaic power station in real time through the data acquisition subsystem; Step 2: The big data analysis subsystem builds a data analysis model to evaluate the power generation efficiency, equipment health status and fault warning of the photovoltaic power station; Step 3: Use the intelligent IV diagnostic subsystem to analyze and diagnose the collected data and identify the fault type and location of the PV module; Step 4: Based on the intelligent diagnosis results, the intelligent operation and maintenance subsystem automatically generates operation and maintenance tasks and provides them to the operation and maintenance personnel for execution; Step 5: During operation and maintenance, remote monitoring and communication modules are used to realize remote communication and data exchange between the platform and the photovoltaic power station site, operation and maintenance center and superior management department.

[0011] This method realizes comprehensive, efficient and precise operation and maintenance management of ultra-high altitude photovoltaic equipment through intelligent and digital means. It not only improves the operation and maintenance efficiency and power generation, reduces the operation and maintenance costs, but also enhances the safety and stability of power station operation, providing strong support for the sustainable development of photovoltaic power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a structural diagram of the ultra-high altitude photovoltaic equipment intelligent management platform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0013] like Figure 1 As shown in the figure, the ultra-high altitude photovoltaic equipment intelligent management platform includes the following subsystems: Data acquisition subsystem: used to collect real-time operating data of photovoltaic modules, inverters, tracking brackets and other equipment in photovoltaic power stations, including but not limited to voltage, current, power, temperature, humidity and light intensity; Big data analysis subsystem: receives data from the data acquisition subsystem and performs pre-processing, storage and analysis; Intelligent IV diagnostic subsystem: Figure 1As shown in the figure, based on the intelligent IV (current and voltage) diagnosis technology, the collected data is analyzed to automatically identify the fault type and location of the photovoltaic module, including but not limited to short circuit, open circuit, aging and other faults. The intelligent IV diagnosis feature is composed of key network elements such as inverter-data collector-intelligent photovoltaic management system. Figure 1 As shown, the inverter collects complete IV data of all strings, and the data collector uploads the IV data to the intelligent photovoltaic management system. The management system has built-in photovoltaic string diagnosis and fault identification algorithms, which can realize full detection and fault identification of photovoltaic power station strings, and ultimately guide power station operation and maintenance.

[0014] The innovations of the intelligent IV diagnosis subsystem are: (1) The photovoltaic fault diagnosis algorithm based on big data integrates intelligent perception with the intelligent fault diagnosis algorithm of the equipment, establishes a variety of algorithm model libraries such as discrete rate, decision tree, neural network, etc., and effectively judges the health problems such as photovoltaic string failure, string consistency, inverter inefficiency, inverter shutdown, shadow occlusion, etc. (2) The application of AI-based intelligent IV curve scanning technology realizes the AI-based intelligent IV curve scanning method, which can quickly perform online diagnosis of 20 string faults such as string open circuit, component hidden cracks and hot spots, and string current mismatch.

[0015] Intelligent operation and maintenance subsystem: The intelligent operation and maintenance subsystem also includes: (1) Fault warning submodule: Based on the intelligent diagnosis results, it predicts and warns of possible faults in advance; (2) Fault handling submodule: According to the fault type and location, it automatically generates targeted fault handling suggestions; (3) Optimized operation submodule: According to the real-time operation status of the photovoltaic power station, it dynamically adjusts the operation strategy; (4) According to the diagnosis results of the intelligent diagnosis subsystem, it automatically generates operation and maintenance tasks and provides them to the operation and maintenance personnel for execution, including fault warning, fault location, fault handling suggestions and optimized operation strategy functions; (5) Remote monitoring and communication module: Through wireless network or wired network, it realizes remote communication and data interaction between the platform and the photovoltaic power station site, operation and maintenance center and superior management department, and supports remote monitoring, remote control and data sharing functions.

[0016] Remote monitoring and communication module: Through wireless or wired networks, the platform can achieve remote communication and data interaction with photovoltaic power station sites, operation and maintenance centers, and superior management departments, supporting remote monitoring, remote control, and data sharing functions.

[0017] This embodiment also includes an ultra-high altitude photovoltaic equipment intelligent management method, including the following steps: Step 1: Collect the operating data of each device in the photovoltaic power station in real time through the data acquisition subsystem; Step 2: The big data analysis subsystem builds a data analysis model to evaluate the power generation efficiency, equipment health status and fault warning of the photovoltaic power station; Step 3: Use the intelligent IV diagnostic subsystem to analyze and diagnose the collected data and identify the fault type and location of the PV module; Step 4: Based on the intelligent diagnosis results, the intelligent operation and maintenance subsystem automatically generates operation and maintenance tasks and provides them to the operation and maintenance personnel for execution; Step 5: During operation and maintenance, remote monitoring and communication modules are used to realize remote communication and data exchange between the platform and the photovoltaic power station site, operation and maintenance center and superior management department.

[0018] The above is only an embodiment of the present invention, and the common knowledge such as the known specific technical solutions and / or characteristics in the solution is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the technical solution of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by the present invention shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. Ultra-high altitude photovoltaic equipment intelligent management platform, characterized by: The platform includes: Data acquisition subsystem: used to collect real-time operating data of photovoltaic modules, inverters, tracking brackets and other equipment in photovoltaic power stations, including but not limited to voltage, current, power, temperature, humidity and light intensity; Big data analysis subsystem: receives data from the data acquisition subsystem and performs pre-processing, storage and analysis; Intelligent IV diagnostic subsystem: Based on intelligent IV (current and voltage) diagnostic technology, it analyzes the collected data and automatically identifies the fault type and location of the photovoltaic module, including but not limited to short circuit, open circuit, aging and other faults; Intelligent operation and maintenance subsystem: Based on the diagnosis results of the intelligent diagnosis subsystem, it automatically generates operation and maintenance tasks and provides them to operation and maintenance personnel for execution, including fault warning, fault location, fault handling suggestions, and optimized operation strategies; Remote monitoring and communication module: Through wireless or wired networks, the platform can achieve remote communication and data interaction with photovoltaic power station sites, operation and maintenance centers, and superior management departments, supporting remote monitoring, remote control, and data sharing functions.

2. The ultra-high altitude photovoltaic equipment intelligent management platform according to claim 1 is characterized in that: The intelligent IV diagnosis subsystem also includes the following functional submodules: Data analysis submodule: compares the collected data with the preset standard data or historical data to analyze the operating status of the photovoltaic modules; One-time scanning submodule: Verify whether the ratio of the number of scanned strings to the number of samples meets the standard according to the scanning curve and standard measurement method; Secondary scan verification submodule: Perform secondary scan when the fault is not eliminated to compare whether the original fault reappears; Repair verification submodule: re-diagnose the repaired PV panels to confirm whether the fault has been effectively eliminated.

3. The ultra-high altitude photovoltaic equipment intelligent management platform according to claim 2 is characterized in that: The intelligent operation and maintenance subsystem also includes the following submodules: Fault warning submodule: predicts and warns of possible faults in advance based on intelligent diagnosis results; Fault handling submodule: automatically generates targeted fault handling suggestions based on fault type and location; Optimize operation submodule: dynamically adjust the operation strategy according to the real-time operation status of the photovoltaic power station.

4. Intelligent management method for ultra-high altitude photovoltaic equipment, characterized in that The ultra-high altitude photovoltaic equipment intelligent management platform according to claim 1 is implemented, comprising the following steps: Step 1: Collect the operating data of each device in the photovoltaic power station in real time through the data acquisition subsystem; Step 2: The big data analysis subsystem builds a data analysis model to evaluate the power generation efficiency, equipment health status and fault warning of the photovoltaic power station; Step 3: Use the intelligent IV diagnostic subsystem to analyze and diagnose the collected data and identify the fault type and location of the PV module; Step 4: Based on the intelligent diagnosis results, the intelligent operation and maintenance subsystem automatically generates operation and maintenance tasks and provides them to the operation and maintenance personnel for execution; Step 5: During operation and maintenance, remote monitoring and communication modules are used to realize remote communication and data exchange between the platform and the photovoltaic power station site, operation and maintenance center and superior management department.

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