Photovoltaic power station monitoring system and control method, electronic equipment and storage medium

Abstract

The invention provides a photovoltaic power station monitoring system, a control method, electronic equipment and a storage medium. The system comprises a data acquisition module, a central management module, an operation and maintenance management module, a relay protection module and a scheduling module. Compared with the prior art, the state data of the photovoltaic module and the environment data of the position where the photovoltaic module is located are collected in real time through the data collection module, operation and maintenance personnel can rapidly know the operation condition of the power station and timely find and process potential problems, and therefore the operation and maintenance efficiency is remarkably improved; the integration of the operation and maintenance management module and the central management module enables operation and maintenance personnel to conveniently obtain the operation data of the target photovoltaic power station and carry out remote monitoring and management. The relay protection module performs electric leakage protection control on the transformer, the inverter, the photovoltaic power generation unit and the grid-connected line, so that safety accidents caused by electric leakage can be prevented; through real-time monitoring and quick response, the relay protection module can discover and cut off a fault circuit in time.

Description

Technical Field

[0001] The present disclosure relates to the field of photovoltaic technology, and in particular to a photovoltaic power station monitoring system and control method, electronic equipment and storage medium. Background Art

[0002] With the continuous adjustment of energy structure, photovoltaic power stations have been widely constructed and applied as an important form of clean and renewable energy utilization. In the operation and management of photovoltaic power stations, the principle of "no one on duty, few people on duty" is adhered to for design, and the normal operation of the power station is mainly guaranteed by the operation personnel in the form of regular or irregular inspections.

[0003] At present, the computer monitoring system of photovoltaic power stations is usually composed of two parts: photovoltaic area and switch station. It is endowed with multiple functions such as protection, control, communication and measurement, aiming to control the operation status of each part of the power station to a certain extent. Specifically, the centralized monitoring background of the photovoltaic power station is set up in the secondary monitoring cabin of the switch station. It is expected that the photovoltaic power station monitoring system can achieve the full-function automatic management of the photovoltaic power station, and realize the functions of telemetry, telecommunication and remote control between the power station and the dispatching end.

[0004] However, in actual application scenarios, photovoltaic plants often occupy a large area, and the equipment is widely distributed and complex. The existing monitoring mode faces many challenges in terms of accurate monitoring. On the one hand, it is difficult for operators to grasp the detailed operating status of each corner and each device in the photovoltaic plant in real time and comprehensively through regular or irregular patrols. Faults may not be discovered in time, affecting the overall power generation efficiency and stability of the power station. On the other hand, although the existing computer monitoring system has multiple functions, when facing the complex photovoltaic plant environment, due to differences in lighting conditions, equipment aging, natural environmental influences and other factors in various regions, it is difficult to accurately monitor the equipment and operating links in different locations and states. This leads to deficiencies in the accuracy of telemetry data, the timeliness of telesignal feedback, and the accuracy of remote control operations, and it is impossible to truly achieve accurate monitoring of the entire photovoltaic plant. Summary of the invention

[0005] The present disclosure provides a photovoltaic power station monitoring system and control method, electronic equipment and storage medium, the main purpose of which is to solve the problem that it is impossible to truly achieve accurate monitoring of the entire photovoltaic plant.

[0006] According to a first aspect of the present disclosure, there is provided a photovoltaic power station monitoring system, comprising: a data acquisition module, a central management module, an operation and maintenance management module, a relay protection module, and a dispatching module;

[0007] The data acquisition module is connected to the central management module, and the data acquisition module sends the collected status data of the photovoltaic components and the environmental data of the location to the central management module;

[0008] The operation and maintenance management module is connected to the central management module, and is used to perform operation management and equipment management on the target photovoltaic power station, obtain operation data of the target photovoltaic power station, and send the operation data to the central management module;

[0009] The relay protection module is connected to the data acquisition module, and the relay protection module is used to perform leakage protection control on the transformer, inverter, photovoltaic power generation unit in the target photovoltaic power plant and the grid-connected line;

[0010] The dispatching module is connected to the central management module, and is used to obtain the operating data of the target photovoltaic power station, and based on the operating data, perform remote control, electricity metering and power quality monitoring on the target photovoltaic power station.

[0011] In some embodiments, the operation and maintenance management module further includes: a statistical analysis submodule;

[0012] The statistical analysis module is used to store, count and query the historical data of the target photovoltaic power station; and to perform data analysis on the historical data to generate operation analysis data of the target photovoltaic power station.

[0013] In some embodiments, the system further comprises: a video monitoring module;

[0014] The video monitoring module is connected to the central management module, and is used to send the collected monitoring video data to the central management module, and the central management module calls a monitoring algorithm to identify abnormalities in the monitoring video data.

[0015] In some embodiments, the scheduling module includes: an electricity metering submodule;

[0016] The electricity metering submodule is connected to the central management module, and is used to obtain direct metering data and indirect metering data in the operation data, and perform electric energy metering of the photovoltaic power station based on the direct metering data and the indirect metering data.

[0017] In some embodiments, the scheduling module includes: a power quality monitoring submodule;

[0018] The power quality monitoring submodule is connected to the central management module, and is used to monitor the quality of the electric energy generated by the target photovoltaic power station and send the monitoring result to the central management module.

[0019] According to a second aspect of the present disclosure, a control method for a photovoltaic power station is provided, the method comprising:

[0020] Collect status data of photovoltaic modules of the target photovoltaic power station and environmental data of the location;

[0021] Performing data analysis on the status data and the environmental data to generate operation data of the target photovoltaic power station;

[0022] Based on the operating data, remote control and dispatch control are performed on the target photovoltaic power station.

[0023] In some embodiments, the method further comprises:

[0024] Based on the operating data, quality monitoring is performed on the electric energy generated by the target photovoltaic power station.

[0025] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0026] at least one processor; and

[0027] a memory communicatively connected to the at least one processor; wherein,

[0028] 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 perform the method described in the first aspect.

[0029] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0030] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0031] The present disclosure provides a photovoltaic power station monitoring system and control method, electronic equipment and storage medium, the system comprising: a data acquisition module, a central management module, an operation and maintenance management module, a relay protection module and a dispatching module; the data acquisition module is connected to the central management module, and the data acquisition module sends the collected status data of the photovoltaic components and the environmental data of the location to the central management module; the operation and maintenance management module is connected to the central management module, and the operation and maintenance management module is used to perform operation management and equipment management on the target photovoltaic power station, obtain the operation data of the target photovoltaic power station, and send the operation data to the central management module; the relay protection module is connected to the data acquisition module, and the relay protection module is used to perform leakage protection control on the transformer, inverter and photovoltaic power generation unit in the target photovoltaic power plant and leakage protection control on the grid-connected line; the dispatching module is connected to the central management module, and the dispatching module is used to obtain the operation data of the target photovoltaic power station, and based on the operation data, perform remote control, electricity metering and power quality monitoring on the target photovoltaic power station. Compared with the related art, the embodiment of the present disclosure collects the status data of photovoltaic components and the environmental data of their locations in real time through the data acquisition module, so that the operation and maintenance personnel can quickly understand the operating status of the power station, promptly discover and deal with potential problems, thereby significantly improving the operation and maintenance efficiency; the integration of the operation and maintenance management module and the central management module enables the operation and maintenance personnel to easily obtain the operating data of the target photovoltaic power station, conduct remote monitoring and management, and reduce the frequency and cost of on-site inspections; the relay protection module performs leakage protection control on the transformer, inverter, photovoltaic power generation unit and grid-connected line, which can prevent safety accidents caused by leakage; through real-time monitoring and rapid response, the relay protection module can promptly discover and cut off the faulty circuit, avoid the expansion of the fault, and reduce equipment damage and power outage time.

[0032] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0034] Figure 1 A schematic diagram of the structure of a photovoltaic power station monitoring system provided by an embodiment of the present disclosure;

[0035] Figure 2 A schematic diagram of the structure of another photovoltaic power station monitoring system provided by an embodiment of the present disclosure;

[0036] Figure 3A schematic diagram of a control method for a photovoltaic power station provided by an embodiment of the present disclosure;

[0037] Figure 4 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0038] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0039] The photovoltaic power station monitoring system and control method, electronic device and storage medium according to the embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0040] Figure 1 A schematic diagram of the structure of a photovoltaic power station monitoring system provided by an embodiment of the present disclosure.

[0041] like Figure 1 As shown, the system includes: a data acquisition module 11, a central management module 12, an operation and maintenance management module 13, a relay protection module 14, and a dispatching module 15;

[0042] The data acquisition module 11 is connected to the central management module 12 , and the data acquisition module 11 sends the collected status data of the photovoltaic components and the environmental data of the location to the central management module 12 .

[0043] Specifically, the data acquisition module 11 is connected to the central management module 12 through an efficient and stable communication link to ensure the reliability and real-time nature of data transmission. In the actual operation process, the data acquisition module 11 will use its built-in high-precision sensors and monitoring technology to comprehensively and accurately collect various status data of the photovoltaic components, including but not limited to key information such as voltage, current, power output, temperature, and whether there are abnormal faults. At the same time, the module will also record in detail the environmental data of the location of the photovoltaic components, such as light intensity, ambient temperature, wind speed, wind direction, and possible shadow obstruction, etc. These data are crucial for subsequent performance analysis and optimization. Once the data collection is completed, the data acquisition module 11 will immediately send these valuable data to the central management module 12 safely and accurately through the preset communication protocol, providing solid data support for subsequent data analysis, fault diagnosis, performance evaluation, and the formulation of operation and maintenance strategies.

[0044] The operation and maintenance management module 13 is connected to the central management module 12 , and is used to perform operation management and equipment management on the target photovoltaic power station, obtain operation data of the target photovoltaic power station, and send the operation data to the central management module 12 .

[0045] Specifically, the operation and maintenance management module 13 maintains an interconnected state with the central management module 12 through a network communication link. This design ensures smooth transmission of information and immediate response. The operation and maintenance management module 13 plays a special role in the management system of the photovoltaic power station and is responsible for comprehensive operation management and equipment monitoring of a specific target photovoltaic power station. With the help of advanced remote monitoring technology and intelligent management tools, the operation and maintenance management module 13 can obtain various key operating data of the target photovoltaic power station in real time. These data cover multiple dimensions such as power generation statistics, system efficiency analysis, equipment operation status monitoring, and energy consumption management, providing a detailed data basis for the efficient operation of the power station. After obtaining these valuable operating data, the operation and maintenance management module 13 will immediately start the data processing process and conduct preliminary analysis and sorting of the original data to ensure the accuracy and effectiveness of the data. Subsequently, these data will be sent to the central management module 12 in a timely and complete manner through a secure and reliable communication channel. As the "brain" of the entire photovoltaic power station management system, the central management module 12 will conduct in-depth analysis, mining and integration of these operating data, and then provide scientific and accurate guidance for the power station's operational decisions, equipment maintenance, performance optimization and fault warning, etc., to help photovoltaic power stations achieve more efficient, stable and sustainable development.

[0046] The relay protection module 14 is connected to the data acquisition module 11 , and is used to perform leakage protection control on the transformer, inverter, photovoltaic power generation unit in the target photovoltaic power plant and the grid-connected line.

[0047] Specifically, the relay protection module 14 is seamlessly connected with the data acquisition module 11 through communication technology, and an efficient and real-time protection and control system is constructed. The relay protection module 14 plays a vital role in the safe operation of the photovoltaic power plant. It specifically targets the key equipment in the target photovoltaic power plant, namely the transformer, inverter and each photovoltaic power generation unit, and controls them through the leakage protection control strategy. In practical applications, the relay protection module 14 can monitor the working status of these devices in real time, and accurately detect whether there is leakage in the circuit through high-precision sensors and advanced algorithms. Once leakage is found, the module will immediately start the protection mechanism, quickly cut off the faulty circuit, effectively prevent safety accidents caused by leakage, and ensure the safety of equipment and personnel. In addition, the relay protection module 14 also undertakes the important task of leakage protection control of the grid-connected line. As a connecting bridge between the photovoltaic power plant and the power grid, the safety and stability of the grid-connected line are of vital importance. The module can timely discover and deal with leakage problems through real-time monitoring and rapid response to the grid-connected line, ensure the stable connection between the photovoltaic power plant and the power grid, and ensure the reliability and safety of power transmission. By working closely with the data acquisition module 11, the relay protection module 14 can obtain the operation data and status information of the equipment in real time, providing a more accurate basis for judgment for leakage protection control. At the same time, the module also has self-diagnosis and fault alarm functions. Once an abnormality or fault is detected, it will immediately issue an alarm and notify relevant personnel to handle it, ensuring that the safe operation of the photovoltaic power plant is not affected.

[0048] The dispatching module 15 is connected to the central management module 12, and is used to obtain the operating data of the target photovoltaic power station, and based on the operating data, perform remote control, electricity metering and power quality monitoring on the target photovoltaic power station.

[0049] Specifically, the dispatching module 15 is closely connected with the central management module 12 through a communication link, forming an efficient and coordinated photovoltaic power station management system. As the core component of the system, the dispatching module 15 bears the important responsibility of obtaining the comprehensive operation data of the target photovoltaic power station. These data not only include basic information such as the real-time power generation power, cumulative power generation, and equipment operation status of the power station, but also cover environmental parameters such as light intensity, ambient temperature, wind speed and direction, as well as power quality indicators such as voltage, current, and frequency on the grid side, providing a detailed data basis for dispatching decisions. After obtaining these rich operating data, the dispatching module 15 will use advanced algorithms and models to deeply mine and analyze the data, so as to achieve precise remote control of the target photovoltaic power station. This means that the dispatcher can remotely start, stop, and adjust the equipment in the power station to ensure that the power station can flexibly adjust the operating status according to factors such as grid demand and weather changes, so as to maximize power generation efficiency and economic benefits.

[0050] At the same time, the dispatch module 15 also has a powerful electricity metering function, which can accurately record the power generation, grid-connected electricity and self-consumption data of the power station, providing a reliable basis for the financial settlement and performance evaluation of the power station. In addition, the module also monitors the power quality in real time, including indicators such as voltage fluctuation, frequency deviation, and harmonic content, to promptly discover and solve power quality problems, ensure that the power output of the power station meets national standards and grid requirements, and improve the stability and security of the grid.

[0051] The present disclosure provides a photovoltaic power station monitoring system, the system comprising: a data acquisition module, a central management module, an operation and maintenance management module, a relay protection module, and a scheduling module; the data acquisition module is connected to the central management module, and the data acquisition module sends the collected status data of the photovoltaic components and the environmental data of the location to the central management module; the operation and maintenance management module is connected to the central management module, and the operation and maintenance management module is used to perform operation management and equipment management on a target photovoltaic power station, obtain the operation data of the target photovoltaic power station, and send the operation data to the central management module; the relay protection module is connected to the data acquisition module, and the relay protection module is used to perform leakage protection control on the transformer, inverter, photovoltaic power generation unit in the target photovoltaic power plant and leakage protection control on the grid-connected line; the scheduling module is connected to the central management module, and the scheduling module is used to obtain the operation data of the target photovoltaic power station, and based on the operation data, perform remote control, electricity metering and power quality monitoring on the target photovoltaic power station. Compared with the related art, the embodiment of the present disclosure collects the status data of photovoltaic components and the environmental data of their locations in real time through the data acquisition module, so that the operation and maintenance personnel can quickly understand the operating status of the power station, promptly discover and deal with potential problems, thereby significantly improving the operation and maintenance efficiency; the integration of the operation and maintenance management module and the central management module enables the operation and maintenance personnel to easily obtain the operating data of the target photovoltaic power station, conduct remote monitoring and management, and reduce the frequency and cost of on-site inspections; the relay protection module performs leakage protection control on the transformer, inverter, photovoltaic power generation unit and grid-connected line, which can prevent safety accidents caused by leakage; through real-time monitoring and rapid response, the relay protection module can promptly discover and cut off the faulty circuit, avoid the expansion of the fault, and reduce equipment damage and power outage time.

[0052] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the operation and maintenance management module 13 further includes: a statistical analysis submodule 131;

[0053] The statistical analysis module 131 is used to store, count and query the historical data of the target photovoltaic power station; and perform data analysis on the historical data to generate operation analysis data of the target photovoltaic power station.

[0054] Specifically, the statistical analysis module 131, as a component of the photovoltaic power station management system, is specially designed to comprehensively and systematically manage the huge historical data generated by the target photovoltaic power station. This module first undertakes the task of data storage. It uses a high-performance database system to safely and orderly save all relevant data generated by the power station since it was put into operation, including but not limited to power generation records, equipment operation logs, fault repair records, environmental monitoring data, etc., to ensure the integrity and traceability of the data.

[0055] Based on data storage, the statistical analysis module 131 also has a statistical function. It can automatically classify and summarize historical data according to preset statistical rules and time periods, and generate various statistical reports and charts, such as daily power generation statistics, monthly power generation comparison, equipment failure rate analysis, etc., to provide intuitive and clear data display for power station managers, so that they can quickly understand the overall operation status of the power station.

[0056] In addition, the module also provides convenient data query services. Users can quickly retrieve the required historical data by entering keywords or selecting query conditions through a simple operation interface. Whether it is to find power generation data for a specific time period or to trace the specific details of a certain equipment failure, it can be easily achieved, greatly improving work efficiency.

[0057] More importantly, the statistical analysis module 131 also has in-depth data analysis capabilities. It uses statistical principles, data mining technology and machine learning algorithms to conduct in-depth analysis of historical data, revealing the laws and trends behind the data, such as the relationship between power generation efficiency and light intensity and temperature, and the trend of equipment failure rate over time. Through these analyses, the module can generate operation analysis data of the target photovoltaic power station, provide a scientific basis for the optimized operation, equipment maintenance, and fault prediction of the power station, and help the power station achieve more efficient and stable operation.

[0058] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the system further includes: a video monitoring module 16;

[0059] The video monitoring module 16 is connected to the central management module 12 , and is used to send the collected monitoring video data to the central management module 12 , and the central management module 12 calls a monitoring algorithm to identify abnormalities in the monitoring video data.

[0060] Specifically, the video monitoring module 16 is seamlessly connected with the central management module 12 through a high-speed and stable network communication link, forming an all-round and intelligent photovoltaic power station video monitoring system. As the front-end sensing device of this system, the video monitoring module 16 is deployed in key areas of the target photovoltaic power station, such as photovoltaic panel arrays, substations, inverter rooms, cable trenches, etc., and uses high-resolution, night vision, waterproof and dustproof professional cameras to collect real-time video data on site 24 hours a day. These video data are sent to the central management module 12 safely and reliably through an encrypted transmission protocol. As the "brain" of the entire photovoltaic power station management system, the central management module 12 will immediately start its built-in monitoring algorithm library after receiving the video data from the video monitoring module 16, and conduct in-depth analysis and abnormality identification of the video content.

[0061] The monitoring algorithm library integrates a variety of advanced image processing and artificial intelligence algorithms, such as target detection, behavior recognition, fire smoke recognition, intrusion detection, etc. Through these algorithms, the central management module 12 can automatically identify abnormal situations in the video, such as photovoltaic panels being blocked, equipment failure and smoke, illegal intrusion, etc., and issue an alarm at the first time to notify relevant personnel to handle it. At the same time, the central management module 12 can also record, store and play back the monitoring video data, providing strong video evidence for subsequent troubleshooting and event tracing. In addition, the module also supports remote real-time viewing of monitoring images, so that power station managers can grasp the on-site situation of the power station at any time through terminal devices such as mobile phones, tablets or computers no matter where they are, to ensure the safe and stable operation of the power station.

[0062] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the scheduling module 15 includes: an electricity metering submodule 151;

[0063] The electricity metering submodule 151 is connected to the central management module 12 , and is used to obtain direct metering data and indirect metering data in the operation data, and perform electric energy metering of the photovoltaic power station based on the direct metering data and the indirect metering data.

[0064] Specifically, the electricity metering submodule 151, as a component of the scheduling module 15, realizes data interaction with the central management module 12 through an efficient and stable communication interface. The electricity metering submodule 151 is responsible for acquiring and processing various operating data related to the power station's electric energy metering in the photovoltaic power station management system. These data mainly include two categories: direct metering data and indirect metering data. Direct metering data refers to the electric energy data directly measured by metering equipment such as electric energy meters, current transformers, and voltage transformers in the power station, such as power generation, online power, and station power consumption. These data are highly accurate and real-time, and are the basis for power station electricity statistics and settlement.

[0065] Indirect metering data refers to data related to electric energy that can only be obtained through calculation or conversion, such as the theoretical power generation estimated based on the light intensity, temperature, efficiency and other parameters of the photovoltaic panel, or the energy consumption of the equipment calculated by monitoring the operating status and time of the equipment. Although these data are not as direct as direct metering data, they are of great significance for analyzing the operating efficiency of power stations, evaluating equipment performance, and optimizing power generation strategies.

[0066] After obtaining these direct and indirect measurement data, the electricity metering submodule 151 will use the metering algorithm and data processing technology to calculate and analyze them. By comparing the direct metering data and the indirect metering data, the module can timely discover and correct possible metering errors to ensure the accuracy and fairness of electric energy metering.

[0067] At the same time, the electricity metering submodule 151 can also upload the processed electric energy data to the central management module 12 in real time, providing comprehensive and accurate electricity statistics information for power station managers. This information is not only helpful for the financial management and performance evaluation of the power station, but also provides strong data support for the operation optimization, fault diagnosis, equipment maintenance, etc. of the power station.

[0068] Furthermore, in a possible implementation of this embodiment, as Figure 2 As shown, the scheduling module 15 includes: a power quality monitoring submodule 152;

[0069] The power quality monitoring submodule 152 is connected to the central management module 12 , and is used to monitor the quality of the power generated by the target photovoltaic power station and send the monitoring result to the central management module 12 .

[0070] Specifically, the power quality monitoring submodule 152 is stably and efficiently connected to the central management module 12 through a communication line or a wireless network to ensure the timeliness and accuracy of data transmission. The power quality monitoring submodule 152 is specially designed to perform comprehensive quality monitoring of the electric energy generated by the target photovoltaic power station, which includes but is not limited to real-time monitoring and analysis of multiple key indicators such as voltage fluctuation, current stability, frequency deviation, power factor and harmonic content. Once the acquisition and processing of monitoring data are completed, the power quality monitoring submodule 152 will quickly and automatically send these detailed monitoring results to the central management module 12 for further data analysis, abnormality identification and subsequent decision support, so as to ensure that the power quality of the target photovoltaic power station is always maintained in the optimal state, meeting the safe and stable operation requirements of the power grid and the power demand of users.

[0071] Figure 3 A schematic flow chart of a control method for a photovoltaic power station provided in an embodiment of the present disclosure.

[0072] like Figure 3 As shown, the method comprises the following steps:

[0073] Step 201 : collecting status data of photovoltaic modules of a target photovoltaic power station and environmental data of the location where the photovoltaic modules are located.

[0074] Specifically, in order to fully understand and evaluate the operating status and performance of the target photovoltaic power station, the system will regularly and continuously collect detailed status data of each photovoltaic module in the target photovoltaic power station, including but not limited to the key indicators such as the operating voltage, current output, power generation efficiency, temperature, and whether there are faults or performance degradation of the photovoltaic modules. At the same time, the system will also synchronously collect multi-dimensional environmental data of the location of the photovoltaic modules, including but not limited to sunshine intensity, sunshine duration, ambient temperature, humidity, wind speed, wind direction, and possible obstructions or pollutants. Through the collection and analysis of these comprehensive data, the actual operating status of the photovoltaic power station can be more accurately grasped, potential problems can be discovered and solved in a timely manner, the layout and operation and maintenance strategies of photovoltaic modules can be optimized, and the power generation efficiency and economic benefits of the entire photovoltaic power station can be improved.

[0075] Step 202: Analyze the status data and the environmental data to generate operation data of the target photovoltaic power station.

[0076] Specifically, after completing the comprehensive collection of the status data of each photovoltaic module in the target photovoltaic power station and the location environment data, the system will immediately start an efficient and sophisticated data analysis process. This process will first conduct an in-depth analysis of the collected status data, including but not limited to trend analysis, anomaly detection and comparative analysis of key indicators such as the working voltage, current output, power generation efficiency, temperature and fault records of the photovoltaic modules, so as to reveal the operating status, performance changes and possible problems or hidden dangers of the photovoltaic modules.

[0077] At the same time, the system will also conduct a detailed analysis of environmental data, focusing on the impact of natural factors such as sunshine intensity, sunshine duration, ambient temperature, humidity, wind speed, wind direction, etc. on the power generation efficiency of photovoltaic power stations, as well as the possible interference of external conditions such as obstructions and pollutants on the performance of photovoltaic modules. By building a complex environmental model, the system can simulate and predict the power generation performance of photovoltaic power stations under different environmental conditions, providing a scientific basis for subsequent operation and maintenance decisions.

[0078] After completing the separate analysis of status data and environmental data, the system will further integrate and correlate the two types of data to reveal the inherent connection and interaction mechanism between them. For example, the system may find that the decline in the power generation efficiency of photovoltaic modules over a period of time is closely related to the weakening of sunlight intensity, the increase of ambient temperature, or the occurrence of a specific fault.

[0079] Step 203: performing remote control and dispatch control on the target photovoltaic power station based on the operation data.

[0080] Specifically, based on the comprehensive and accurate operating data obtained through in-depth data analysis, the management system of the target photovoltaic power station can realize remote automatic control and refined dispatch control of the power station. This control process first relies on real-time monitoring and interpretation of operating data, including the instant grasp of information such as photovoltaic module power generation efficiency, overall power station output power, grid connection status, environmental parameter changes, and any potential fault warnings.

[0081] In terms of remote control, the system can automatically adjust the operating parameters of the photovoltaic power station according to preset algorithms and strategies, such as adjusting the tilt angle of photovoltaic modules to optimize sunlight reception, adjusting the working mode of the inverter to adapt to changes in grid demand, or starting the cooling system to reduce the temperature of key components, etc., so as to ensure that the power station always maintains the best operating state. This remote control not only improves the response speed of the power station, but also significantly reduces the cost and risk of manual intervention.

[0082] In terms of dispatching and control, the system can comprehensively consider multiple factors such as the load demand of the power grid, weather forecast data, the energy storage status of the power station, and the current power generation efficiency, and formulate the optimal power generation plan and dispatching strategy. For example, when it is predicted that there will be a peak in power consumption in the next few hours, the system can increase the output power of the power station in advance, or when the light conditions are expected to be poor, it can reasonably arrange the charging and discharging plan of the energy storage equipment to ensure that the power station can smoothly and efficiently meet the power supply needs of the power grid.

[0083] Through such a remote control and dispatching control system based on operating data, the target photovoltaic power station can not only achieve more efficient and stable power production, but also better integrate into the smart grid system, contributing to the overall optimization and sustainable development of the power system.

[0084] Furthermore, in a possible implementation of this embodiment, the method further includes:

[0085] Based on the operating data, quality monitoring is performed on the electric energy generated by the target photovoltaic power station.

[0086] Specifically, based on the previously collected and deeply analyzed operating data, a complete monitoring system is established to continuously and comprehensively monitor the power quality generated by the target photovoltaic power station. This monitoring system makes full use of key indicators in the operating data, such as voltage stability, current waveform, frequency deviation, power factor and harmonic content, which are all important indicators for evaluating power quality.

[0087] In actual operation, we track the changes of these indicators in real time and analyze them dynamically through advanced algorithms and models. For example, we pay close attention to the fluctuation of voltage to ensure that it always remains within the allowable range to avoid damage to the power grid and equipment. At the same time, we also monitor the current waveform to promptly detect and correct any waveform distortion that may lead to reduced energy efficiency or equipment damage.

[0088] In addition, the frequency deviation information in the operating data is used to evaluate the synchronization performance between the power station and the power grid to ensure that the power station can stably transmit power to the power grid. The monitoring of power factor helps us understand the proportional relationship between the active power and reactive power of the power station, thereby optimizing the operating efficiency of the power station. The monitoring of harmonic content can timely detect and handle harmonic interference that may be generated by power electronic equipment, ensuring the purity and stability of the power grid.

[0089] It should be noted that the embodiments of the present disclosure may include multiple steps. For the convenience of description, these steps are numbered, but these numbers do not limit the execution time slots or execution order between the steps; these steps can be implemented in any order, and the embodiments of the present disclosure do not limit this.

[0090] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0091] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0092] like Figure 4 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0093] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0094] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as a control method for a photovoltaic power station. For example, in some embodiments, the control method for a photovoltaic power station may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the aforementioned control method of the photovoltaic power station in any other appropriate manner (for example, by means of firmware).

[0095] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0097] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0098] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0099] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0100] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0101] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0102] The various numerical numbers such as first and second involved in the present disclosure are only for the convenience of description and are not used to limit the scope of the embodiments of the present disclosure, but also indicate the order of precedence.

[0103] At least one in the present disclosure may also be described as one or more, and a plurality may be two, three, four or more, which is not limited in the present disclosure. In the embodiments of the present disclosure, for a technical feature, the technical features in the technical feature are distinguished by "first", "second", "third", "A", "B", "C" and "D", etc., and there is no order of precedence or size between the technical features described by the "first", "second", "third", "A", "B", "C" and "D".

[0104] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0105] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A photovoltaic power station monitoring system, characterized in that: The system includes: a data acquisition module, a central management module, an operation and maintenance management module, a relay protection module, and a dispatching module; The data acquisition module is connected to the central management module, and the data acquisition module sends the collected status data of the photovoltaic components and the environmental data of the location to the central management module; The operation and maintenance management module is connected to the central management module, and is used to perform operation management and equipment management on the target photovoltaic power station, obtain operation data of the target photovoltaic power station, and send the operation data to the central management module; The relay protection module is connected to the data acquisition module, and the relay protection module is used to perform leakage protection control on the transformer, inverter, photovoltaic power generation unit in the target photovoltaic power plant and the grid-connected line; The dispatching module is connected to the central management module, and is used to obtain the operating data of the target photovoltaic power station, and based on the operating data, perform remote control, electricity metering and power quality monitoring on the target photovoltaic power station.

2. The photovoltaic power station monitoring system according to claim 1, characterized in that: The operation and maintenance management module also includes: a statistical analysis submodule; The statistical analysis module is used to store, count and query the historical data of the target photovoltaic power station; and to perform data analysis on the historical data to generate operation analysis data of the target photovoltaic power station.

3. The photovoltaic power station monitoring system according to claim 1, characterized in that: The system also includes: a video monitoring module; The video monitoring module is connected to the central management module, and is used to send the collected monitoring video data to the central management module, and the central management module calls a monitoring algorithm to identify abnormalities in the monitoring video data.

4. The photovoltaic power station monitoring system according to claim 1, characterized in that: The scheduling module includes: an electricity metering submodule; The electricity metering submodule is connected to the central management module, and is used to obtain direct metering data and indirect metering data in the operation data, and perform electric energy metering of the photovoltaic power station based on the direct metering data and the indirect metering data.

5. The photovoltaic power station monitoring system according to claim 1, characterized in that: The scheduling module includes: a power quality monitoring submodule; The power quality monitoring submodule is connected to the central management module, and is used to monitor the quality of the electric energy generated by the target photovoltaic power station and send the monitoring result to the central management module.

6. A control method for a photovoltaic power station, characterized in that: The method is applied to a photovoltaic power station monitoring system as claimed in any one of claims 1 to 5, and the method comprises: Collect status data of photovoltaic modules of the target photovoltaic power station and environmental data of the location; Performing data analysis on the status data and the environmental data to generate operation data of the target photovoltaic power station; Based on the operating data, remote control and dispatch control are performed on the target photovoltaic power station.

7. The method according to claim 6, characterized in that The method further comprises: Based on the operating data, quality monitoring is performed on the electric energy generated by the target photovoltaic power station.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one 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 perform the method according to any one of claims 6 to 7.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 6-7.

10. A computer program product, characterized in that A computer program is included which, when executed by a processor, implements the method according to any one of claims 6-7.

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