Grid-connected state identification method and device for distributed photovoltaic power station

Abstract

The invention belongs to the field of distributed photovoltaic power stations, and discloses a grid-connected state identification method and device for a distributed photovoltaic power station, and the method comprises the steps: obtaining a median value of the number of abnormal days; screening out to-be-identified power stations of which the running states are normal and the duration does not exceed a preset first time threshold in a first continuous preset time period, and obtaining a power station set N; the first continuous preset time period and the preset first time threshold value are determined according to the median value of the number of abnormal days; screening out to-be-identified power stations of which the electric quantity accumulated values are smaller than a preset electric quantity measurement standard from the power station set N, and constructing a power station set N1; rejecting to-be-identified power stations meeting a preset running state continuous time rejecting principle from the power station set N1, and constructing a power station set N2; performing unreal network access marking on the power stations to be identified in the power station set N2 to obtain a grid-connected state identification result; according to the method, the power station which is not actually connected to the grid can be identified more accurately and efficiently, and stable operation of a power system is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of distributed photovoltaic power station management, and in particular relates to a method and device for identifying the grid-connected status of a distributed photovoltaic power station. Background Art

[0002] With the global transformation of energy structures and the rapid development of renewable energy technologies, distributed photovoltaic power stations, as an important carrier of clean energy, are increasingly accounting for a larger share of the power system. However, the grid-connection process for distributed photovoltaic power stations has exposed the phenomenon of "non-grid connection." This is because some power stations, due to equipment failures, unauthorized disconnection, communication anomalies, or human data tampering, have inconsistent actual power generation status with the status recorded on the grid-connection platform. The power generation behavior of these power stations is intermittent, fluctuating, or even completely shut down, causing significant interference with grid dispatching, power market transactions, and power station operation assessments. Currently, the grid-connection status of distributed photovoltaic power stations is mainly determined through manual inspections or spot checks. This identification process is inefficient, limited by the professional level of inspectors, and is costly. Summary of the Invention

[0003] To address the technical problems existing in the prior art, the present invention provides a method and device for identifying the grid-connected status of a distributed photovoltaic power station. This method addresses the technical issues that the grid-connected status of distributed photovoltaic power stations is primarily determined through manual inspections or spot checks, which are inefficient, limited by the professional expertise of inspectors, and are costly.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is: The present invention provides a method for identifying the grid-connected status of a distributed photovoltaic power station, comprising: Obtain the median number of days in which the power station to be identified is in a faulty or offline state, and obtain the median value of abnormal days; Filter out the power plants to be identified whose normal operating status duration within a first continuous preset time period does not exceed a preset first time threshold, to obtain a power plant set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the number of abnormal days; From the power station set N, select the power stations to be identified whose cumulative power values ​​are less than the preset power measurement standard to construct the power station set N1; From the power station set N1, the power stations to be identified that meet the preset operation status continuous time elimination principle are eliminated to construct the power station set N2; The power stations to be identified in the power station set N2 are marked as not actually connected to the grid, and the grid-connected status identification results of the distributed photovoltaic power stations are obtained.

[0005] Furthermore, the process of obtaining the median number of days in which the power station to be identified is in a faulty or offline state and obtaining the median value of abnormal days includes: Obtain the number of consecutive days that the operating status of all power stations to be identified is faulty or offline, and construct a set of abnormal days for the power stations to be identified; Perform data cleaning on the abnormal days of the power station to be identified, remove outlier data, and obtain the cleaned days set; The median of the abnormal days in the cleaned set of days is taken to obtain the median value of the abnormal days.

[0006] Furthermore, the first continuous preset time period is equal to the median value of the abnormal days, and the value of the preset first time threshold is equal to the median value of the abnormal days / 7.

[0007] Furthermore, the process of determining the accumulated power value is as follows: For each to-be-identified power station in the power station set N, the accumulated value of electricity in the second continuous preset time period is counted respectively; wherein the second continuous preset time period is equal to the median value of the abnormal days.

[0008] Furthermore, the process of determining the preset power measurement standard is as follows: Obtain the average unit installed power generation of all distributed photovoltaic power stations in normal operating status; Calculate the theoretical power generation of each to-be-identified power station in the power station set N within the second continuous preset time period based on the average unit installed power generation of all distributed photovoltaic power stations in normal operation; Based on the theoretical power generation of each to-be-identified power station in the power station set N during the second continuous preset time period, a preset power measurement standard is calculated.

[0009] Furthermore, the process of removing the to-be-identified power stations that meet the preset operation status continuous time elimination principle from the power station set N1 to construct the power station set N2 includes: Filter out the power stations to be identified from the power station set N1, whose operating status is continuously normal for a duration exceeding a preset second time threshold; The screened power stations to be identified whose operating status is continuously normal for a duration exceeding a preset second time threshold are removed from the power station set N1, and the remaining power stations to be identified in the power station set N1 are retained to obtain the power station set N2.

[0010] The present invention also provides a method for identifying the grid-connected status of a distributed photovoltaic power station, comprising: The abnormal days determination module is used to obtain the median of the number of days in which the power station to be identified is in a faulty or offline state, and obtain the median value of the abnormal days; A first screening module is configured to screen out power plants to be identified whose normal operating status lasts for a period not exceeding a preset first time threshold within a first continuous preset time period, thereby obtaining a power plant set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the number of abnormal days; The second screening module is used to screen out the power stations to be identified whose accumulated power values ​​are less than a preset power measurement standard from the power station set N, and construct the power station set N1; The power station elimination module is used to eliminate the power stations to be identified that meet the preset operation status continuous time elimination principle from the power station set N1, and construct the power station set N2; The non-grid-connected marking module is used to mark the power stations to be identified in the power station set N2 as not actually connected to the grid, and obtain the grid-connected status identification results of the distributed photovoltaic power stations.

[0011] The present invention also provides an electronic device, comprising: a processor suitable for executing a computer program; A computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for identifying the grid-connected status of a distributed photovoltaic power station is executed.

[0012] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the method for identifying the grid-connected status of a distributed photovoltaic power station.

[0013] The present invention also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the method for identifying the grid-connected status of a distributed photovoltaic power station.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The grid-connected status identification method of a distributed photovoltaic power station provided by the present invention obtains the median value of the abnormal days of the power station to be identified, and based on the median value of the abnormal days, screens out power stations whose operating status meets the requirements, whose cumulative power values ​​are lower than the standards and do not meet specific elimination principles, and finally accurately marks the power stations that are not truly connected to the grid. Compared with traditional manual inspection or random inspection identification methods, the method effectively improves the identification efficiency, gets rid of the excessive dependence on the professional level of inspectors, reduces the identification cost, and can more accurately and efficiently identify the phenomenon of non-real grid connection, reduce the interference of such power stations on grid dispatching, power market transactions and power station operation assessment, and ensure the stable operation of the power system.

[0015] The distributed photovoltaic power station grid-connected status identification system, electronic equipment, computer-readable storage medium and computer program product provided by the present invention have all the advantages of the above-mentioned distributed photovoltaic power station grid-connected status identification method. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] Figure 1 A flow chart of the method for identifying the grid-connected status of a distributed photovoltaic power station provided in Example 1; Figure 2 A flow chart of the method for identifying the grid-connected status of a distributed photovoltaic power station provided in Example 2; Figure 3 This is a structural block diagram of the electronic device provided in Example 3. DETAILED DESCRIPTION

[0018] In order to make the technical problems, technical solutions, and beneficial effects solved by this application more clearly understood, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application; it is obvious that the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of this application.

[0019] The present invention provides a method for identifying the grid-connected status of a distributed photovoltaic power station, comprising the following steps: Step 100: Obtain the median of the number of days in which the power station to be identified is in a faulty or offline operating state, and obtain the median value of the abnormal days.

[0020] Step 200: Filter out the power stations to be identified whose normal operating status does not exceed a preset first time threshold within a first continuous preset time period, and obtain a power station set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the number of abnormal days.

[0021] Step 300: Filter out the power stations to be identified whose accumulated power values ​​are less than a preset power measurement standard from the power station set N, and construct the power station set N1.

[0022] Step 400: Eliminate the to-be-identified power stations that meet a preset elimination principle of continuous operation time from the power station set N1 to construct the power station set N2.

[0023] Step 500: Mark the power stations to be identified in the power station set N2 as not actually connected to the grid, and obtain the grid-connected status identification result of the distributed photovoltaic power station.

[0024] The method for identifying the grid-connected status of a distributed photovoltaic power station described in the present invention obtains the median value of the abnormal number of days of the power station to be identified, and then screens out power stations that may not be truly grid-connected based on the power measurement standard, and finally eliminates power stations that meet the principle of continuous time elimination of specific operating states, accurately locates the power stations that are not truly grid-connected and marks them; compared with existing manual inspection or random inspection identification methods, this method has a high degree of automation, greatly improves the identification efficiency, is not limited by the professional level of inspectors, and at the same time reduces labor costs, can quickly and accurately identify the grid-connected status of distributed photovoltaic power stations, and effectively reduce the interference of the "not truly grid-connected" phenomenon on power grid dispatching, power market transactions and power station operation assessment.

[0025] The following further explains the method for identifying the grid-connected status of a distributed photovoltaic power station provided by the present invention with reference to some specific embodiments: Example 1 As attached Figure 1 As shown, this embodiment 1 provides a method for identifying the grid-connected status of a distributed photovoltaic power station, comprising the following steps: Step 1: Obtain the time when the basic information of all power plants to be identified is connected to the power plant management platform as the power plant connection time t1. The power plant management platform may be, for example, a Supervisory Control and Data Acquisition (SCADA) system.

[0026] Step 2: Obtain the median of the number of days in which the power station to be identified is in a faulty or offline state, and obtain the median value of the abnormal days.

[0027] Specifically, the steps are as follows: Step 21: Taking the power station access time t1 as the starting point, obtain the number of days in which the operating status of all power stations to be identified is faulty or offline, and construct a set of abnormal days for the power stations to be identified.

[0028] Step 22: Clean the abnormal days set of the power station to be identified, remove outlier data, and obtain a cleaned day set. Specifically, use the 3σ criterion to clean the day data in the abnormal days set of the power station to be identified, remove outlier days, and use the remaining abnormal days in the abnormal days set of the power station to be identified to construct a set to obtain the cleaned day set.

[0029] Step 23: Take the median of the abnormal days in the cleaned set of days to obtain the median value d of the abnormal days.

[0030] Step 3: Filter out the power plants to be identified whose normal operating status duration within a first continuous preset time period does not exceed a preset first time threshold, thereby obtaining a power plant set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the number of abnormal days. Preferably, the first continuous preset time period is equal to the median value of the number of abnormal days, and the preset first time threshold is equal to the median value of the number of abnormal days / 7.

[0031] Specifically, taking the power station access time t1 as the starting point, the power stations to be identified whose normal operating status does not exceed d / 7 within d consecutive days are screened out to obtain the power station set N.

[0032] Step 4: Filter out the power stations to be identified whose accumulated power values ​​are less than a preset power measurement standard from the power station set N, and construct the power station set N1.

[0033] Specifically, the steps are as follows: Step 41: Taking the power station access time t1 as the starting point, for each power station to be identified in the power station set N, the cumulative value of electricity consumption in the second continuous preset time period is counted respectively to obtain the cumulative value of electricity consumption of each power station to be identified in the power station set N; wherein, the value of the second continuous preset time period is the same as the value of the median value d of the abnormal days, that is, the second continuous preset time period = d.

[0034] Step 42: Obtain the average unit installed power generation of all distributed photovoltaic power stations in normal operation. Specifically, obtain all distributed photovoltaic power stations in normal operation, and count their power generation for d consecutive days since they were connected to the power station management platform. Divide the power generation for d consecutive days by the installed capacity of the distributed photovoltaic power station to obtain the unit installed power generation of each distributed photovoltaic power station in normal operation. Average the unit installed power generation of all distributed photovoltaic power stations in normal operation to obtain the average unit installed power generation q of all distributed photovoltaic power stations in normal operation.

[0035] Step 43: Calculate the theoretical power generation of each to-be-identified power station in the power station set N within the second continuous preset time period based on the average unit installed power generation q of all distributed photovoltaic power stations in normal operating status. Specifically, multiply the average unit installed power generation q of all distributed photovoltaic power stations in normal operating status by the installed capacity c of each to-be-identified power station in the power station set N to obtain the theoretical power generation p of each to-be-identified power station in the power station set N within the second continuous preset time period.

[0036] Step 44: Calculate a preset power measurement standard p1 based on the theoretical power generation p of each to-be-identified power station in the power station set N during the second continuous preset time period. The preset power measurement standard p1 is calculated as follows: p1 = p × r, where r is the environmental factor. The value of the environmental factor r depends on the location of each distributed photovoltaic power station and weather factors. Preferably, the environmental factor r is 0.25.

[0037] Step 45: Compare the accumulated power value of each to-be-identified power station in the power station set N with a preset power measurement standard; if the accumulated power value of the to-be-identified power station is less than the preset power measurement standard, retain the corresponding to-be-identified power station; otherwise, remove it; and construct a set of the retained to-be-identified power stations to obtain the power station set N1.

[0038] It should be noted that the method calculates the theoretical power generation by counting the cumulative power generation value of each to-be-identified power station in the power station set N during the second consecutive preset time period. The median value d of the number of abnormal days is used as the value for the second consecutive preset time period to ensure data consistency. The method calculates the theoretical power generation value by taking the mean unit installed power generation value of all distributed photovoltaic power stations in normal operating status. This provides a scientific basis for setting the subsequent power measurement standard. The preset power measurement standard is calculated based on the theoretical power generation, and the cumulative power generation value of each to-be-identified power station in the power station set N is compared with the preset power measurement standard to construct the power station set N1. The environmental factor r is introduced to account for the impact of regional and weather factors on power generation, making the preset power measurement standard more consistent with actual conditions. By comparing the cumulative power values, power stations that may not be truly connected to the grid are further screened out, improving the accuracy of identification.

[0039] Step 5: Eliminate the power stations to be identified that meet the preset elimination principle of continuous operation time from the power station set N1, and construct the power station set N2. The specific process includes: Obtain the duration of continuous normal operation of each power station to be identified in power station set N1; screen out power stations to be identified from power station set N1 whose continuous normal operation duration exceeds a preset second time threshold; wherein the preset second time threshold is 2 hours; remove the screened power stations to be identified whose continuous normal operation duration exceeds the preset second time threshold from power station set N1, retain the remaining power stations to be identified in power station set N1, and obtain power station set N2.

[0040] Step 6: Mark the power stations to be identified in the power station set N2 as not actually connected to the grid, and obtain the grid-connected status identification result of the distributed photovoltaic power station.

[0041] The method for identifying the grid-connected status of a distributed photovoltaic power station described in Example 1 can effectively distinguish between power stations that are not truly connected to the grid and those that are actually connected to the grid but are experiencing operational anomalies due to various reasons. This provides accurate grid-connected status information to the power station management platform, helping to improve the efficiency and accuracy of power station management and ensure the stable operation of the power system. Furthermore, this method is highly reliable and objective, avoiding the subjective errors that may be introduced by manual judgment.

[0042] In this embodiment 1, by obtaining the time when all power stations to be identified access the power station management platform and using it as the power station access time t1, a unified time benchmark is provided for subsequent data statistics and analysis, ensuring that subsequent data statistics and analysis based on the time dimension can accurately reflect the actual operation status of the power station, so that the entire identification process has rigorous time logic.

[0043] Secondly, by obtaining the number of days when the operating status of the power station to be identified is faulty or offline, and performing data cleaning and screening, the median value of the abnormal days of the power station to be identified is determined; among them, the 3σ criterion is used to eliminate outlier data, which effectively avoids the interference of abnormal data on the analysis results and improves the accuracy and reliability of the data; based on the median value of the abnormal days of the power station to be identified, eligible power stations are screened out from all the power stations to be identified, laying the foundation for subsequent more accurate identification, narrowing the identification scope and improving the identification efficiency; by taking the median of the abnormal days in the cleaned day set, the median value d of the abnormal days is obtained, which can better reflect the central trend of the data and is not affected by extreme values. It provides a reasonable reference basis for the subsequent time threshold setting, making the screening principle more scientific and reasonable.

[0044] In this embodiment 1, the first continuous preset time period is set equal to the median value of the abnormal days, and the value of the preset first time threshold is set equal to the median value of the abnormal days / 7, so that the screening criteria are more targeted and reasonable, and power stations that may have grid connection problems can be screened out more accurately, thereby improving the accuracy of the identification results.

[0045] In addition, the power stations to be identified whose operating status has been normal for a period of time exceeding the preset second time threshold are eliminated from the power station set N1 to construct the power station set N2; the preset second time threshold is 2h, which can exclude power stations that have a low cumulative power value but have a normal operating record in a short period of time, further optimizing the identification results and ensuring that the power stations in the final power station set N2 are more likely to be power stations that have not actually been connected to the grid; by marking the power stations to be identified in the power station set N2 as not actually connected to the grid, the identification results are presented intuitively, providing a clear decision-making basis for the power station management platform, helping managers to take timely measures to deal with the power stations that have not actually been connected to the grid, and improving the operating efficiency and management level of the entire distributed photovoltaic power station system.

[0046] Example 2 As attached Figure 2 As shown, this embodiment 2 provides a distributed photovoltaic power station grid-connected status identification system, including: an abnormal day determination module, a first screening module, a second screening module, a power station elimination module and a non-grid connection marking module.

[0047] The abnormal days determination module is used to obtain the median of the number of days in which the operating status of the power station to be identified is faulty or offline, and obtain the median value of the abnormal days; the first screening module is used to screen out the power stations to be identified whose operating status is normal for a period of time that does not exceed the preset first time threshold within the first continuous preset time period, and obtain the power station set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the abnormal days; the second screening module is used to screen out the power stations to be identified whose cumulative electricity values ​​are less than the preset electricity measurement standard from the power station set N, and construct the power station set N1; the power station elimination module is used to eliminate the power stations to be identified that meet the preset operating status continuous time elimination principle from the power station set N1, and construct the power station set N2; the non-grid-connected marking module is used to mark the power stations to be identified in the power station set N2 as not actually connected to the grid, and obtain the grid-connected status identification result of the distributed photovoltaic power station.

[0048] Optionally, the grid-connected status identification of the distributed photovoltaic power station described in this embodiment 2 also includes a power station access time determination module; the power station access time determination module is used to obtain the time when the basic information of all power stations to be identified is connected to the power station management platform as the power station access time t1.

[0049] Example 3 As attached Figure 3 As shown, this embodiment 3 provides an electronic device, including: a memory for storing a computer program; a processor for executing the computer program to implement the steps of the method for identifying the grid-connected status of a distributed photovoltaic power station, for example: Obtain the median of the number of days in which the operating status of the power station to be identified is faulty or offline, and obtain the median value of the abnormal days; screen out the power stations to be identified whose operating status is normal for a period not exceeding a preset first time threshold within a first continuous preset time period, and obtain a power station set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the abnormal days; from the power station set N, screen out the power stations to be identified whose cumulative electricity values ​​are less than a preset electricity measurement standard, and construct a power station set N1; from the power station set N1, eliminate the power stations to be identified that meet the preset operating status continuous time elimination principle, and construct a power station set N2; mark the power stations to be identified in the power station set N2 as not actually connected to the grid, and obtain the grid-connected status identification result of the distributed photovoltaic power station.

[0050] Alternatively, when the processor executes the computer program, the functions of each module in the grid-connected status identification system of the above-mentioned distributed photovoltaic power station are realized, for example: an abnormal day determination module is used to obtain the median of the number of days in which the operating status of the power station to be identified is faulty or offline, and obtain the median value of the abnormal days; a first screening module is used to screen out the power stations to be identified whose operating status is normal for a period not exceeding a preset first time threshold within a first continuous preset time period, and obtain a power station set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the abnormal days; a second screening module is used to screen out the power stations to be identified whose cumulative electricity values ​​are less than a preset electricity measurement standard from the power station set N, and construct a power station set N1; a power station elimination module is used to eliminate the power stations to be identified that meet the preset operating status continuous time elimination principle from the power station set N1, and construct a power station set N2; a non-grid-connected marking module is used to mark the power stations to be identified in the power station set N2 as not truly connected to the grid, and obtain the grid-connected status identification result of the distributed photovoltaic power station.

[0051] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing preset functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0052] The electronic device may be a computing device such as a desktop computer, laptop, PDA, or cloud server. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will appreciate that the above are examples of electronic devices and do not constitute a limitation on electronic devices. The electronic device may include more components than those described above, or a combination of certain components, or different components. For example, the electronic device may also include a communication interface, input / output devices, network access devices, a bus, etc.

[0053] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the electronic device and connects various parts of the entire electronic device using various interfaces and lines.

[0054] The memory may be used to store the computer programs and / or modules, and the processor implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory.

[0055] The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as sound playback or image playback); the data storage area may store data generated based on the use of the mobile phone (such as audio data and a phone book). Furthermore, the memory may include high-speed random access memory (RAM) and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0056] Example 4 This embodiment 4 further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the method for identifying the grid-connected status of a distributed photovoltaic power station are implemented.

[0057] If the modules / units integrated in the distributed photovoltaic power station grid-connected status identification system 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.

[0058] Based on this understanding, the present invention implements all or part of the process of the above-mentioned method for identifying the grid-connected status of a distributed photovoltaic power station, and can also be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, the computer program can implement the steps of the above-mentioned method for identifying the grid-connected status of a distributed photovoltaic power station. The computer program includes computer program code, which can be in source code form, object code form, executable file, or a preset intermediate form.

[0059] The computer-readable storage medium may include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0060] Example 5 This embodiment 5 provides a computer product, which includes a computer program product, and the computer program is stored in a computer-readable storage medium; the processor of the electronic device reads the computer program from the computer-readable storage medium, and the processor executes the computer program, so that the electronic device can execute the grid-connected status identification method of the distributed photovoltaic power station described in embodiment 1, which will not be repeated here.

[0061] It should be noted that a person skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0062] The above embodiment is only one of the implementation methods that can realize the technical solution of the present invention. The scope of protection claimed by the present invention is not limited only to this embodiment, but also includes changes, replacements and other implementation methods that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention.

Claims

1. A method for identifying the grid-connected status of a distributed photovoltaic power station, characterized in that: include: Obtain the median number of days in which the power station to be identified is in a faulty or offline state, and obtain the median value of abnormal days; Filter out the power plants to be identified whose normal operating status duration within a first continuous preset time period does not exceed a preset first time threshold, to obtain a power plant set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the number of abnormal days; From the power station set N, select the power stations to be identified whose cumulative power values ​​are less than the preset power measurement standard to construct the power station set N1; From the power station set N1, the power stations to be identified that meet the preset operation status continuous time elimination principle are eliminated to construct the power station set N2; The power stations to be identified in the power station set N2 are marked as not actually connected to the grid, and the grid-connected status identification results of the distributed photovoltaic power stations are obtained.

2. A method for identifying the grid-connected status of a distributed photovoltaic power station according to claim 1, characterized in that: The process of obtaining the median number of days in which the power plant to be identified is in a faulty or offline state and the median value of abnormal days includes: Obtain the number of consecutive days that the operating status of all power stations to be identified is faulty or offline, and construct a set of abnormal days for the power stations to be identified; Perform data cleaning on the abnormal days of the power station to be identified, remove outlier data, and obtain the cleaned days set; The median of the abnormal days in the cleaned set of days is taken to obtain the median value of the abnormal days.

3. The method for identifying the grid-connected status of a distributed photovoltaic power station according to claim 1, characterized in that: The first continuous preset time period is equal to the median value of the abnormal days, and the value of the preset first time threshold is equal to the median value of the abnormal days / 7.

4. The method for identifying the grid-connected status of a distributed photovoltaic power station according to claim 1, wherein: The process of determining the accumulated power value is as follows: For each to-be-identified power station in the power station set N, the accumulated value of electricity in the second continuous preset time period is counted respectively; wherein the second continuous preset time period is equal to the median value of the abnormal days.

5. The method for identifying the grid-connected status of a distributed photovoltaic power station according to claim 4, characterized in that: The process of determining the preset power measurement standard is as follows: Obtain the average unit installed power generation of all distributed photovoltaic power stations in normal operating status; Calculate the theoretical power generation of each to-be-identified power station in the power station set N within the second continuous preset time period based on the average unit installed power generation of all distributed photovoltaic power stations in normal operation; Based on the theoretical power generation of each to-be-identified power station in the power station set N during the second continuous preset time period, a preset power measurement standard is calculated.

6. The method for identifying the grid-connected status of a distributed photovoltaic power station according to claim 1, characterized in that: The process of eliminating the to-be-identified power stations that meet the preset continuous operation time elimination principle from the power station set N1 and constructing the power station set N2 includes: Filter out the power stations to be identified from the power station set N1, whose operating status is continuously normal for a duration exceeding a preset second time threshold; The screened power stations to be identified whose operating status is continuously normal for a duration exceeding a preset second time threshold are removed from the power station set N1, and the remaining power stations to be identified in the power station set N1 are retained to obtain the power station set N2.

7. A method for identifying the grid-connected status of a distributed photovoltaic power station, characterized in that: include: The abnormal days determination module is used to obtain the median of the number of days in which the power station to be identified is in a faulty or offline state, and obtain the median value of the abnormal days; A first screening module is configured to screen out power plants to be identified whose normal operating status lasts for a period not exceeding a preset first time threshold within a first continuous preset time period, thereby obtaining a power plant set N; wherein the first continuous preset time period and the preset first time threshold are both determined based on the median value of the number of abnormal days; The second screening module is used to screen out the power stations to be identified whose accumulated power values ​​are less than a preset power measurement standard from the power station set N, and construct the power station set N1; The power station elimination module is used to eliminate the power stations to be identified that meet the preset operation status continuous time elimination principle from the power station set N1, and construct the power station set N2; The non-grid-connected marking module is used to mark the power stations to be identified in the power station set N2 as not actually connected to the grid, and obtain the grid-connected status identification results of the distributed photovoltaic power stations.

8. An electronic device, characterized in that: include: a processor suitable for executing a computer program; A computer-readable storage medium having a computer program stored therein, wherein when the computer program is executed by the processor, the method for identifying the grid-connected status of a distributed photovoltaic power station according to any one of claims 1 to 6 is executed.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for identifying the grid-connected status of a distributed photovoltaic power station according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the method for identifying the grid-connected status of a distributed photovoltaic power station according to any one of claims 1 to 6 is implemented.

Images