Method, system and equipment for checking nearby power stations in distributed photovoltaic system and medium
By establishing a spherical coordinate database in the distributed photovoltaic system, selecting the nearest power station for investigation, and using historical operation data to diagnose faults, the problems of difficult fault location and high operation and maintenance costs in distributed photovoltaic power stations are solved, and efficient and low-cost fault investigation is achieved.
Patent Information
- Application Number
- CN202510898178.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-10-03
AI Technical Summary
Distributed photovoltaic power station fault troubleshooting is difficult, especially in the household photovoltaic scenarios on the roofs of self-built houses in rural areas. Fault location is difficult and the operation and maintenance costs are high. In addition, the existing high-cost equipment has poor stability in harsh environments and complex software updates, which increases the difficulty and cost of operation and maintenance.
A group of power stations with the closest straight-line distance are selected for operation and maintenance inspection. By establishing a spherical coordinate database, the coordinates of the benchmark power station and its mapping points are determined, and nearby power stations are screened for inspection. Historical operation data is used to make preliminary fault judgments and issue work orders.
It improves the query and computing efficiency of the distributed photovoltaic system operation and maintenance platform, reduces the difficulty and cost of operation and maintenance, avoids server jams, and improves the accuracy and efficiency of troubleshooting.
Smart Images
Figure CN120743973A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure belongs to the field of photovoltaic power station operation and maintenance technology, and in particular relates to a method, system, equipment and medium for checking nearby power stations in a distributed photovoltaic system. Background Art
[0002] In the daily operations of distributed photovoltaic power plants, troubleshooting faulty power plants presents numerous challenges. Distributed photovoltaic power plants are typically dispersed and vary in size, making traditional centralized fault monitoring and troubleshooting difficult to implement effectively. Due to the small size of individual stations, their large number and widespread distribution, particularly in residential photovoltaic scenarios on self-built rooftops in rural areas, accurately locating a component or piece of equipment failure is extremely difficult. Furthermore, offline maintenance costs, both labor and transportation, are also high, presenting significant challenges for distributed photovoltaic power plants.
[0003] PV power plant management systems with module-level rapid shutdown and precise positioning capabilities require high hardware costs, making them prohibitively expensive for some small distributed PV power plants. Furthermore, the stability of these systems in complex environments needs improvement. For example, in harsh climates such as high temperature and high humidity, the monitoring accuracy of the equipment may be affected, leading to misjudgments or missed detections. Furthermore, software updates and maintenance for some advanced systems are complex and require specialized technical personnel, which increases the difficulty and cost of operations and maintenance. Summary of the Invention
[0004] To solve the above problems, the present disclosure provides a method, system, equipment and medium for checking nearby power stations in a distributed photovoltaic system. By selecting a group of power stations with the closest straight-line distance for operation and maintenance inspection, the inspection efficiency can be improved, while avoiding excessive server computing and reducing the difficulty and cost of operation and maintenance.
[0005] In a first aspect, an embodiment of the present disclosure provides a method for troubleshooting nearby power stations in a distributed photovoltaic system, comprising: Establish a spherical coordinate database for distributed photovoltaic power stations; Determine the coordinates of the reference power station and its corresponding mapping point in the spherical coordinate database; selecting several nearby power stations based on the spherical coordinate database and the coordinates of the mapping point; Several nearby power stations were inspected.
[0006] Further, Establish a spherical coordinate database for distributed photovoltaic power stations, including: Query the original longitude and latitude of all power stations in the distributed photovoltaic system; Convert the original longitude and latitude to decimal longitude and latitude; Use decimal longitude and latitude as spherical coordinate points to establish a spherical coordinate database.
[0007] Further, Determine the coordinates of the reference power station and its corresponding mapping point in the spherical coordinate database, including: Select a photovoltaic power station in the distributed photovoltaic system as a benchmark power station; Determine the mapping point coordinates of the reference power station in the spherical coordinate database.
[0008] Further, Based on the spherical coordinate database and the coordinates of the mapping point, several nearby power stations are selected, including: Set the screening radius centered on the benchmark power station; Calculating the spherical distance between each power station and the reference power station according to the spherical coordinate database and the mapping point coordinates; The query results are queued according to the spherical distance and the screening radius, and several nearby power stations are selected.
[0009] Further, Several nearby power stations were inspected, including: Obtain historical operating data of the benchmark power station and several nearby power stations for comparison; Based on the comparison results, the fault type is preliminarily determined.
[0010] As a preferred measure, Dispatching the corresponding work order based on the initially determined fault type.
[0011] In a second aspect, based on the same inventive concept, an embodiment of the present disclosure further provides a system for checking nearby power stations in a distributed photovoltaic system, comprising a database module, a reference power station selection module, a nearby power station selection module, and a checking module; Database module, including spherical coordinate data of each distributed photovoltaic power station; A reference power station selection module is used to determine the reference power station and its corresponding mapping point coordinates in the spherical coordinate database; A nearby power station selection module selects a nearby power station based on the spherical coordinate database and the coordinates of the mapping point; The investigation module is used to investigate several nearby power stations.
[0012] In a third aspect, based on the same inventive concept, an embodiment of the present disclosure further provides an electronic device, comprising at least one processor and at least one memory electrically connected; The memory is electrically connected to the processor, wherein the memory stores instructions that can be executed by at least one of the processors, and the instructions are executed by at least one of the processors so that at least one of the processors can execute any of the aforementioned methods for troubleshooting nearby power stations in a distributed photovoltaic system.
[0013] In a fourth aspect, based on the same inventive concept, an embodiment of the present disclosure further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program; When the computer program is executed by a processor, it realizes the investigation of nearby power stations in any of the aforementioned distributed photovoltaic systems.
[0014] In a fifth aspect, based on the same inventive concept, an embodiment of the present disclosure further provides a computer program product, wherein the computer program product is stored in at least one storage medium; The computer program product includes a plurality of instructions for causing at least one electronic device to execute any of the aforementioned methods for checking nearby power stations in a distributed photovoltaic system.
[0015] Compared with the prior art, the present disclosure has the following advantages: In the disclosed embodiment, nearby power stations (closer to the reference power station) are selected for status query, which greatly improves the query operation efficiency of the distributed photovoltaic system operation and maintenance platform and avoids server freezing caused by an excessive number of concurrent operations.
[0016] Other features and advantages of the present disclosure will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present disclosure. The purposes and other advantages of the present disclosure can be realized and obtained by the structures indicated in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0018] Figure 1 A schematic diagram of a process for checking nearby power stations in a distributed energy scenario according to an embodiment of the present disclosure is shown; Figure 2 A schematic structural diagram of an electronic device according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION
[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present disclosure without making any creative efforts shall fall within the scope of protection of the present disclosure.
[0020] At present, the mainstream solutions for troubleshooting distributed photovoltaic power stations mainly revolve around digital and intelligent technologies.
[0021] On the one hand, a digital and information-based operation and maintenance cloud platform enables unified management of information collection, transmission, processing, and communication across PV power plants. By integrating the equipment information management systems, condition monitoring management systems, and automatic protection systems of each PV power plant, data network sharing and remote centralized monitoring of PV power plants are achieved. Operations and maintenance personnel can log in to remote servers through terminals such as web clients, smartphones, and tablets to access data in real time and gain timely insights into the operational status of PV power plants. For example, the AcrelCloud-1200 distributed PV operation and maintenance cloud platform helps users manage geographically dispersed PV sites by monitoring inverters, meteorological equipment, and cameras at each PV power plant. It offers a variety of functions, including site monitoring, inverter monitoring, and power generation statistics, effectively improving troubleshooting efficiency.
[0022] Furthermore, some advanced PV power plants feature rapid module-level shutdown and 1:1 precise positioning and monitoring. When a component problem occurs, the system can quickly identify and precisely locate it, significantly reducing operation and maintenance costs and improving the timeliness and accuracy of plant maintenance. This effectively eliminates the time-consuming and labor-intensive nature of traditional troubleshooting methods and provides strong support for the timely elimination of potential safety hazards.
[0023] While existing digital and intelligent technology platforms enable centralized data management and remote monitoring, their processing and analysis capabilities are sometimes insufficient for the massive amounts of power plant operating data. Some cloud-based operations and maintenance platforms struggle to quickly and accurately extract critical fault information from complex data, leading to delays in fault diagnosis. Furthermore, communication protocols vary across different brands and models of photovoltaic equipment, making compatibility issues more likely to arise during data integration, impacting the integrity and accuracy of data collection.
[0024] Figure 1 A flow chart of a method for checking nearby power stations in a distributed energy scenario according to an embodiment of the present disclosure is shown.
[0025] like Figure 1 As shown, a method for checking nearby power stations in a distributed energy scenario according to an embodiment of the present disclosure includes: S1, establish a spherical coordinate database for distributed photovoltaic power stations.
[0026] S11, querying the original longitude and latitude of all power stations in the distributed photovoltaic system.
[0027] S12, converting the original longitude and latitude into decimal longitude and latitude.
[0028] The original longitude and latitude are usually in sexagesimal format. For example, the longitude is "116,45,9" and the latitude is "34,2,53". After conversion, the longitude is "116.404" and the latitude is "39.915".
[0029] S13, using the decimal longitude and latitude as spherical coordinate points to establish a spherical coordinate database.
[0030] In this embodiment, the spherical coordinate points are preferably stored in a MySQL database.
[0031] S2, determining the reference power station and its corresponding mapping point coordinates in the spherical coordinate database.
[0032] S21, select a photovoltaic power station in the distributed photovoltaic system as a reference power station.
[0033] S22, determining the coordinates of the mapping point in the reference power station spherical coordinate database.
[0034] S3: Based on the spherical coordinate database and the coordinates of the mapping point, select a nearby power station for investigation.
[0035] S31, setting a screening radius centered on the reference power station.
[0036] S32: Calculate the spherical distance between each power station and the reference power station according to the spherical coordinate database and the mapping point coordinates.
[0037] In this embodiment, in the MySQL database, the ST_Distance_Sphere function can be called to query the spherical distance between power stations.
[0038] S33, queuing the query results according to the spherical distance and the screening radius, and selecting several nearby power stations.
[0039] S4, inspect several nearby power stations.
[0040] The power station operation data of the distributed photovoltaic system is called to determine whether the operation of several nearby power stations is normal.
[0041] Power plant operation data, including power generation, DC voltage, DC current, AC voltage, AC current, daily power generation, grid frequency, and internal temperature.
[0042] For example: S41, obtaining historical operating data of the benchmark power station and several nearby power stations for comparison; For example, the power station operation data of the distributed photovoltaic system can be called to calculate the change rate of the power generation of the benchmark power station and the change rate of the power generation of several nearby power stations according to the current day, the past three days, and the past week.
[0043] S42: Preliminarily determine the fault type based on the comparison results.
[0044] Furthermore, a corresponding work order can be dispatched based on the initially determined fault type.
[0045] For example, the rate of change of power generation of the benchmark power station is compared with the rate of change of power generation of several nearby power stations one by one to preliminarily determine the type of fault.
[0046] Specifically, if the change in power generation of a nearby power station is uniformly lower than that of the benchmark power station or other nearby power stations, it is preliminarily determined to be dusty, and a cleaning work order is issued.
[0047] In addition, different real-time operating parameters are used to determine different operating states or fault types. For example, if the current and voltage curve of a power station's grid-connected branch is 0, a maintenance work order needs to be issued for on-site processing.
[0048] In the disclosed embodiment, nearby power stations (closer to the reference power station) are selected for status query, which greatly improves the query operation efficiency of the distributed photovoltaic system operation and maintenance platform and avoids server freezing caused by excessive concurrency.
[0049] Based on the above method, the embodiment of the present disclosure also provides a system for checking nearby power stations in a distributed photovoltaic system corresponding to the above method, comprising: a database module, a reference power station selection module, a nearby power station selection module, and a checking module; Database module, including spherical coordinate data of each distributed photovoltaic power station; A reference power station selection module is used to determine the reference power station and its corresponding mapping point coordinates in the spherical coordinate database; A nearby power station selection module selects a nearby power station based on the spherical coordinate database and the coordinates of the mapping point; The investigation module is used to investigate several nearby power stations.
[0050] Based on the same inventive concept as the above disclosure, the present disclosure also provides an electronic device. Figure 2As shown, the electronic device of an embodiment of the present disclosure includes at least one electrically connected processor and at least one memory, wherein the memory is electrically connected to the processor, wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for troubleshooting nearby power stations in a distributed photovoltaic system as described above.
[0051] It should be noted that the electrical connection between the above-mentioned units does not necessarily mean the connection between lines. An indirect connection method can be applied to the embodiments of the present disclosure as long as the purpose of the present disclosure is achieved.
[0052] Based on the same inventive concept, the present disclosure further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for checking nearby power stations in a distributed photovoltaic system as described above is implemented.
[0053] Based on the same inventive concept, the present disclosure also provides a computer program product, which is stored in at least one storage medium; the computer program product includes several instructions for enabling at least one computer device to execute the method for checking nearby power stations in a distributed photovoltaic system as described above.
[0054] Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein; and these modifications or replacements do 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 disclosure.
Claims
1. A method for checking nearby power stations in a distributed photovoltaic system, characterized in that: The method comprises: Establish a spherical coordinate database for distributed photovoltaic power stations; Determine the coordinates of the reference power station and its corresponding mapping point in the spherical coordinate database; selecting several nearby power stations based on the spherical coordinate database and the coordinates of the mapping point; Several nearby power stations were inspected.
2. The method for checking nearby power stations in a distributed photovoltaic system according to claim 1, characterized in that: Establish a spherical coordinate database for distributed photovoltaic power stations, including: Query the original longitude and latitude of all power stations in the distributed photovoltaic system; Convert the original longitude and latitude to decimal longitude and latitude; Use decimal longitude and latitude as spherical coordinate points to establish a spherical coordinate database.
3. The method for checking nearby power stations in a distributed photovoltaic system according to claim 1 or 2, characterized in that: Determine the coordinates of the reference power station and its corresponding mapping point in the spherical coordinate database, including: Select a photovoltaic power station in the distributed photovoltaic system as a benchmark power station; Determine the mapping point coordinates of the reference power station in the spherical coordinate database.
4. The method for checking nearby power stations in a distributed photovoltaic system according to claim 3, characterized in that: Based on the spherical coordinate database and the coordinates of the mapping point, several nearby power stations are selected, including: Set the screening radius centered on the benchmark power station; Calculating the spherical distance between each power station and the reference power station according to the spherical coordinate database and the mapping point coordinates; The query results are queued according to the spherical distance and the screening radius, and several nearby power stations are selected.
5. The method for checking nearby power stations in a distributed photovoltaic system according to claim 1, 2 or 4, characterized in that: Several nearby power stations were inspected, including: Obtain historical operating data of the benchmark power station and several nearby power stations for comparison; Based on the comparison results, the fault type is preliminarily determined.
6. The method for checking nearby power stations in a distributed photovoltaic system according to claim 5, characterized in that: Dispatching the corresponding work order based on the initially determined fault type.
7. A system for checking nearby power stations in a distributed photovoltaic system, characterized in that: The system includes a database module, a benchmark power station selection module, a nearby power station selection module, and a troubleshooting module; Database module, including spherical coordinate data of each distributed photovoltaic power station; A reference power station selection module is used to determine the reference power station and its corresponding mapping point coordinates in the spherical coordinate database; A nearby power station selection module selects a nearby power station based on the spherical coordinate database and the coordinates of the mapping point; The investigation module is used to investigate several nearby power stations.
8. An electronic device, characterized in that: comprising at least one processor and at least one memory electrically connected; The memory is electrically connected to the processor, wherein the memory stores instructions that can be executed by at least one of the processors, and the instructions are executed by at least one of the processors so that at least one of the processors can execute the method for troubleshooting nearby power stations in a distributed photovoltaic system as described in any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that The computer readable storage medium stores a computer program; When the computer program is executed by a processor, the nearby power stations in the distributed photovoltaic system as described in any one of claims 1 to 6 are checked.
10. A computer program product, characterized in that The computer program product is stored in at least one storage medium; The computer program product includes several instructions for causing at least one electronic device to execute the method for checking nearby power stations in a distributed photovoltaic system according to any one of claims 1 to 6.