Distributed photovoltaic inverter monitoring method and system

Abstract

The invention relates to the technical field of photovoltaic power generation monitoring, and discloses a distributed photovoltaic inverter monitoring method and system, and the method comprises the steps: obtaining the first operation state data of a distributed photovoltaic system; dividing the first operation condition data by using a first object to obtain second operation condition data; performing centralized analysis on the second operation condition data to obtain result data; and the first object performs online monitoring on the distributed photovoltaic system according to the result data. The beneficial effects of the invention are that based on demand analysis of the photovoltaic cloud monitoring server, the photovoltaic distributed power generation monitoring software platform realizes software-hardware data interaction, carries out data processing, and realizes automatic monitoring and control of the computer monitoring system.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic inverter monitoring, and in particular to a distributed photovoltaic inverter monitoring method and system. Background Art

[0002] my country's installed photovoltaic power generation capacity and scale are increasing year by year, but the O&M capabilities and methods of most power plants are far behind the pace of construction, leading to an increasing number of power plants facing O&M challenges. Distributed power plants are particularly prone to poor maintainability compared to centralized PV plants. This is primarily due to the distances between distributed power plants and the inability to accurately transmit information. Consequently, it's difficult to establish a highly professional O&M team on standby, as is the case with large-scale centralized power plants. Furthermore, O&M for distributed PV is currently typically handled by third-party companies or individuals, whose expertise is often inconsistent and whose O&M model relies heavily on experience. This can lead to misdiagnosis of plant failures, resulting in personnel repeatedly traveling back and forth between the faulty plant and the O&M site, reducing O&M efficiency.

[0003] Although photovoltaic power plants have introduced various information management systems to enhance their operations, such as photovoltaic monitoring systems, plant operations and maintenance still require manual processing, making it impossible to fully document the operation and maintenance process of distributed photovoltaic power plants. Furthermore, due to the large number and variety of power generation equipment and the lack of effective means and measures, operations and maintenance personnel can only passively address faults, failing to provide timely maintenance. Recurring equipment maintenance issues waste significant time and energy, resulting in low efficiency. Furthermore, to ensure the safe and reliable operation of photovoltaic power generation equipment, operations and maintenance personnel are often required to be on duty 24 hours a day to respond to emergencies. This, combined with the varying expertise of these personnel and the geographical distribution of power plants, results in high costs, low efficiency, and a complex process. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to solve the current problems of high operation and maintenance costs, low efficiency and complicated processes in power plants.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a distributed photovoltaic inverter monitoring method, comprising:

[0007] As a preferred solution of the distributed photovoltaic inverter monitoring method of the present invention, wherein: first operating status data of the distributed photovoltaic system is obtained;

[0008] Using the first object to divide the first operating status data to obtain second operating status data;

[0009] Centrally analyzing the second operating status data to obtain result data;

[0010] The first object performs online monitoring of the distributed photovoltaic system based on the result data.

[0011] As a preferred solution of the distributed photovoltaic inverter monitoring method described in the present invention, the obtaining of the first operating status data of the distributed photovoltaic system includes collecting the original operating status data of the power station of the distributed photovoltaic system, screening and processing the original operating status data of the power station to obtain the first operating status data.

[0012] As a preferred solution of the distributed photovoltaic inverter monitoring method described in the present invention, the first object includes building a digital integrated photovoltaic operation center management and control platform connecting photovoltaic power station equipment, data collectors, cloud servers, and clients.

[0013] As a preferred solution of the distributed photovoltaic inverter monitoring method of the present invention, the second operating status data includes: the first object is classified into types according to the functions of the first operating status data to obtain the second operating status data.

[0014] As a preferred solution of the distributed photovoltaic inverter monitoring method described in the present invention, the centralized analysis of the second operating status data includes conducting a comprehensive analysis of the second operating status data based on the entire source equipment, locating equipment with abnormal operation, further performing unit analysis, and determining the result data.

[0015] As a preferred solution of the distributed photovoltaic inverter monitoring method described in the present invention, the result data includes integrating photovoltaic power station production management information system data according to the analysis results to manage the operating indicators of various main and auxiliary equipment in the power station.

[0016] As a preferred solution of the distributed photovoltaic inverter monitoring method described in the present invention, the online monitoring of the distributed photovoltaic system includes dynamically grasping the real-time operation status of the power station through real-time monitoring of the electrical structure, power station equipment, main operating parameters, etc.

[0017] A distributed photovoltaic inverter monitoring system using any method according to the present invention, wherein:

[0018] The computer monitoring system monitors the photovoltaic power station's circuit breakers, disconnectors, grounding switches, transformers, capacitors, AC / DC power supplies and their auxiliary equipment, protection signals, and various device status signals. It collects and processes related information such as power protection status information, action reports, and fault recordings through communication channels.

[0019] Photovoltaic distributed power generation monitoring module realizes software-hardware data interaction, performs data processing, and realizes automatic monitoring and control of computer monitoring system;

[0020] The cloud monitoring module serves as the remote monitoring center and data center for the photovoltaic energy storage distributed power station, and performs data monitoring and intelligent control of the photovoltaic power station through cloud monitoring software;

[0021] The local monitoring APP module serves as a local monitoring center and data center, enabling local monitoring of the photovoltaic power station. It also provides a human-machine interface for managers to monitor the photovoltaic power station.

[0022] A computer device comprises: a memory and a processor; the memory stores a computer program, comprising: the steps of implementing any one of the methods of the present invention when the processor executes the computer program.

[0023] A computer-readable storage medium stores a computer program thereon, comprising: steps of implementing any one of the methods of the present invention when the computer program is executed by a processor.

[0024] The beneficial effects of the present invention are as follows: based on the demand analysis of photovoltaic cloud monitoring servers, the photovoltaic distributed power generation monitoring software platform realizes software-hardware data interaction, performs data processing, and realizes automatic monitoring and control of the computer monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0026] Figure 1 An overall flow chart of a distributed photovoltaic inverter monitoring method provided by the first embodiment of the present invention;

[0027] Figure 2 This is a graph of the cumulative installed capacity and growth rate of photovoltaic power generation in a distributed photovoltaic inverter monitoring method provided by the third embodiment of the present invention. DETAILED DESCRIPTION

[0028] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0029] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a distributed photovoltaic inverter monitoring method, comprising:

[0030] S1: Obtaining first operating status data of a distributed photovoltaic system. Obtaining the first operating status data of a distributed photovoltaic system includes collecting original operating status data of power stations of the distributed photovoltaic system, screening and processing the original operating status data of the power stations, and obtaining the first operating status data.

[0031] The first operating status data collected and filtered by the system includes the following parameters: irradiance: total solar irradiance (G, W / m²) on a horizontal surface; solar irradiance (G, W / m²) on the system array surface. Temperature: outdoor temperature (T, °C); PV module temperature (T, °C); battery temperature (T, °C). DC current parameters: PV array output voltage (U, V); current (I, A); battery voltage (U, V); current (I, A); inverter input voltage (U, V); current (I, A); DC load input voltage (U, V); current (I, A). AC current parameters: inverter output voltage (U, V); current.

[0032] The first objective includes building a digital integrated photovoltaic operation center management and control platform that connects photovoltaic power station equipment, data collectors, cloud servers, and clients.

[0033] The data collector includes a monitoring system that provides real-time operational and alarm information for solar photovoltaic power generation. It displays the current total power generation, daily total power generation, cumulative total power generation, and daily power generation curves. It also monitors the inverter's operating status in real time, using audible and visual alarms to indicate equipment failures. The cause and time of the failure can be viewed.

[0034] S2: Using the first object to classify the first operating status data, obtaining second operating status data. The second operating status data includes the first object classifying the first operating status data by type based on its function, thereby obtaining the second operating status data. Specifically, the second operating status data classified by function includes equipment operating history data, power station operating performance data, and equipment energy consumption data.

[0035] Embodiment 2, an embodiment of the present invention, provides a distributed photovoltaic inverter monitoring method, including:

[0036] S3: Centrally analyze the second operating status data to obtain result data.

[0037] The centralized analysis of the second operating status data includes conducting a comprehensive analysis of the second operating status data based on the entire source device, locating the device with abnormal operation, further performing unit analysis, and determining the result data. Specifically, it includes:

[0038] Equipment history analysis uses the inverter's historical data to conduct a comprehensive analysis of the inverter from four aspects: loss equivalent time, equipment utilization, inverter equivalent time, and equipment alarms, and locate inverters with poor power generation levels; further through inverter unit analysis, hidden defects are determined, preventive maintenance is carried out, and defect tickets and contact tickets are established to complete the closed-loop management of defect elimination work.

[0039] Power station performance analysis is carried out step by step from the perspectives of overall efficiency, plan completion rate, abandoned photovoltaic power, loss equivalent time, solar energy resources, and inverter performance. The specific factors affecting power station performance are identified and addressed in a timely manner to ensure the overall stable and efficient operation of the power station.

[0040] Energy consumption analysis: Through comprehensive analysis of plant power consumption, grid-purchased power, comprehensive plant power consumption, and collection line energy consumption, the living electricity consumption of power station personnel and equipment energy consumption are optimized, thereby reducing the operating costs of the power station and improving the efficiency of the power station.

[0041] S4: The first object performs online monitoring of the distributed photovoltaic system according to the result data.

[0042] The resulting data includes information on the electrical structure, power plant equipment, key operating parameters, and environmental conditions. Based on these analysis results, the PV power plant production management information system integrates data to manage the operating indicators of the power plant's main and auxiliary equipment. This enables real-time monitoring of the electrical structure, power plant equipment, and key operating parameters, providing a dynamic understanding of the plant's real-time operating status.

[0043] Online monitoring of distributed photovoltaic systems includes electrical structure monitoring. By monitoring the electrical structure within the power station, the operating conditions and status of each electrical equipment in the power station, the real-time position of each switch, and the grid connection status of the power station, the flow of active and reactive power, etc. can be monitored in real time.

[0044] Operation information monitoring supports real-time monitoring of the photovoltaic power station's power distribution electrical structure, photovoltaic module distribution, inverter and other operation information, as well as the display of key operation data;

[0045] Environmental information monitoring automatically collects environmental information of the power station and displays it in real time, realizing remote monitoring of the environment; the main information includes: ambient temperature, ambient humidity, dew point temperature, wind speed, wind direction, air pressure, horizontal radiation, inclined surface radiation and irradiance.

[0046] Embodiment 3, an embodiment of the present invention, provides a distributed photovoltaic inverter monitoring method, including:

[0047] The first objective also involves building a digital, integrated photovoltaic operations center management and control platform based on technologies such as the Internet of Things, cloud computing, and big data, encompassing everything from photovoltaic power station equipment to data collectors, cloud servers, and finally the client. This platform integrates wireless and wired data transmission, deeply mines and analyzes data, and objectively displays equipment operating status in real time, providing strong support for monitoring, operation, and maintenance management. It displays the current total photovoltaic power generation, daily total power generation, cumulative total power generation, and daily power generation curves. It also monitors the inverter's operating status in real time, using audible and visual alarms to indicate equipment failures, and allows users to view the cause and time of the failure.

[0048] The main functions of the management and control platform include:

[0049] Panoramic 3D visualization: Incorporating advanced virtual reality technology, the 3D engine generates real-time dynamic 3D lifelike images, integrating 3D intelligent models with production, operations, and management, making power station displays more realistic, fault diagnosis more transparent, and operator operations more convenient.

[0050] Comprehensive production status: Displays the overall production and operation information of the power plant, including power generation plan, power generation, power sales, unit operating capacity, load rate, average monthly utilization hours of power generation equipment and other indicators, and provides trend charts and comparative analysis.

[0051] Plan execution status: Real-time dynamic acquisition of power plant power generation data, centralized daily real-time load, yesterday's power generation, this month's cumulative power generation, monthly assessment plan, this year's cumulative power generation and other information, display the power plant's real-time load comparison curve, photovoltaic power generation cumulative installed capacity and growth rate. Figure 2 shown.

[0052] Real-time operation status: Real-time monitoring of the actual operating status of each unit in the power plant, dynamically grasping the operating efficiency and other technical and economic indicators of each unit in the plant. If any abnormality occurs, automatic real-time warning will be issued.

[0053] Equipment start and stop records: Displays the power plant's operating hours, maintenance hours, and power generation within a cycle. Uses a Gantt chart to display the unit's standby and operating status, enabling early warning of cycle operating hours and maintenance hours, with key colors indicating abnormal indicators.

[0054] Centralized analysis also includes solar energy resource analysis: through comprehensive analysis of measured radiation, feasible radiation, and resource distribution maps, we can grasp the true regional energy situation and provide a reliable basis for investment, design, and equipment selection;

[0055] Inverter energy distribution analysis: supports comparative analysis of power curves and DC currents of inverters across the entire station.

[0056] Online monitoring of distributed photovoltaic systems also includes automatic early warning: centralized monitoring of photovoltaic power station alarm information allows for easy and convenient monitoring of abnormal operating conditions. Taking into account the cost and efficiency of distributed photovoltaic power generation systems, a monitoring system is being constructed that features data collection and processing, wireless data transmission, data display and storage, historical data query, and user management.

[0057] Example 4. The following is an embodiment of the present invention, which provides a distributed photovoltaic inverter monitoring method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments. This study aims to verify the effectiveness of a new distributed photovoltaic inverter monitoring method. The experiment was carried out in a medium-sized photovoltaic power station located in a suburban area with sufficient sunlight. The total installed capacity of the power station is 5MW. Before the start of the experiment, a comprehensive inspection of the operating status of the power station was first carried out to ensure that all equipment was in good condition. Subsequently, the experiment was carried out according to the following steps:

[0058] Obtaining primary operating status data: Data collectors installed on key equipment such as inverters, combiner boxes, and DC distribution cabinets collect raw data on the power plant's operating status. This data includes, but is not limited to, power generation, inverter efficiency, grid voltage, current, and temperature.

[0059] Data screening and processing: To improve monitoring accuracy, the collected raw data is screened and processed. This process is completed through the digital integrated photovoltaic operation center management and control platform, which can automatically identify and eliminate abnormal data to ensure the accuracy and reliability of the first operating status data.

[0060] Dividing the second operating status data: On the digital integrated photovoltaic operation center management and control platform, the first operating status data is divided into multiple subsets according to the type and function of the power station equipment to form the second operating status data.

[0061] Centralized analysis: A comprehensive analysis of the secondary operating status data was conducted, including performance evaluation and fault diagnosis of each equipment unit. By comparing the operating parameters of different equipment, potential operating anomalies were located.

[0062] Result data integration: Based on the analysis results, the data of the photovoltaic power station production management information system was integrated to manage the operating indicators of various main and auxiliary equipment in the power station.

[0063] Online monitoring: Through real-time monitoring of electrical structure, power station equipment, main operating parameters and environmental information, the operating status of the power station is dynamically monitored.

[0064] Table 1 Experimental data record table

[0065]

[0066] The above table data shows that the distributed photovoltaic inverter monitoring method of the present invention has shown significant advantages in the experiment. The following is a detailed analysis of the table data:

[0067] As can be seen from the table, devices C and F have high power generation, indicating that these devices are operating well and effectively converting solar energy into electricity. Device C has the highest inverter efficiency, reaching 99.1%, while device E has the lowest inverter efficiency, at 96.7%. This indicates that the devices screened and monitored using this method generally have high inverter efficiency.

[0068] Grid voltage and current: The grid voltage of all equipment is stable at 220V, and the current fluctuates within a reasonable range, indicating that the monitoring method can ensure stable access to the power grid for the power station.

[0069] On the other hand, this embodiment also provides a distributed photovoltaic inverter monitoring system, which includes:

[0070] The computer monitoring system monitors the photovoltaic power station's circuit breakers, disconnectors, grounding switches, transformers, capacitors, AC / DC power supplies and their auxiliary equipment, protection signals, and various device status signals. It collects and processes related information such as power protection status information, action reports, and fault recordings through communication channels.

[0071] Photovoltaic distributed power generation monitoring module realizes software-hardware data interaction, performs data processing, and realizes automatic monitoring and control of computer monitoring system;

[0072] The cloud monitoring module serves as the remote monitoring center and data center for the photovoltaic energy storage distributed power station, and performs data monitoring and intelligent control of the photovoltaic power station through cloud monitoring software;

[0073] The local monitoring APP module serves as a local monitoring center and data center, enabling local monitoring of the photovoltaic power station. It also provides a human-machine interface for managers to monitor the photovoltaic power station.

[0074] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0075] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0076] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0077] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0078] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

Claims

1. A distributed photovoltaic inverter monitoring method, characterized in that: include: Acquiring first operating status data of the distributed photovoltaic system; Using the first object to divide the first operating status data, to obtain second operating status data; Centrally analyzing the second operating status data to obtain result data; The first object performs online monitoring of the distributed photovoltaic system based on the result data.

2. The distributed photovoltaic inverter monitoring method according to claim 1, characterized in that: The obtaining of the first operating status data of the distributed photovoltaic system includes collecting original operating status data of power stations of the distributed photovoltaic system, and screening and processing the original operating status data of the power stations to obtain the first operating status data.

3. The distributed photovoltaic inverter monitoring method according to claim 2, characterized in that: The first object includes building a digital integrated photovoltaic operation center management and control platform connecting photovoltaic power station equipment, data collectors, cloud servers, and clients.

4. The distributed photovoltaic inverter monitoring method according to claim 3, characterized in that: The second operating status data includes the first object being classified into types according to the functions of the first operating status data to obtain the second operating status data.

5. The distributed photovoltaic inverter monitoring method according to claim 4, characterized in that: The centralized analysis of the second operating status data includes performing a comprehensive analysis of the second operating status data based on the entire source device, locating the device with abnormal operation, further performing unit analysis, and determining result data.

6. The distributed photovoltaic inverter monitoring method according to claim 5, characterized in that: The result data includes integrating the photovoltaic power station production management information system data according to the analysis results to manage the operation indicators of various main and auxiliary equipment in the power station.

7. The distributed photovoltaic inverter monitoring method according to claim 6, characterized in that: The online monitoring of the distributed photovoltaic system includes dynamically grasping the real-time operation status of the power station through real-time monitoring of the electrical structure, power station equipment, main operating parameters, and environmental information.

8. A distributed photovoltaic inverter monitoring system using the method according to any one of claims 1 to 7, characterized in that: The computer monitoring system includes the circuit breakers, disconnectors, grounding switches, transformers, capacitors, AC and DC power supplies and their auxiliary equipment, protection signals and various device status signals of the photovoltaic power station in the monitoring scope, and collects and processes the status information, action reports, fault recordings and other related information of the power protection through the communication channel; Photovoltaic distributed power generation monitoring module realizes software-hardware data interaction, performs data processing, and realizes automatic monitoring and control of computer monitoring system; The cloud monitoring module, as the remote monitoring center and data center of the photovoltaic energy storage distributed power station, conducts data monitoring and intelligent control of the photovoltaic power station through cloud monitoring software; The local monitoring APP module, as a local monitoring center and data center, realizes local monitoring of the photovoltaic power station and provides a human-machine interface to facilitate managers to monitor the photovoltaic power station.

9. A computer device comprising: A memory and a processor; the memory stores a computer program, characterized in that: when the processor executes the computer program, the steps of any one of the distributed photovoltaic inverter monitoring methods of claims 1-7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of any distributed photovoltaic inverter monitoring method according to claims 1-7 are implemented.

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