Method and device for evaluating health state of photovoltaic module, electronic equipment and storage medium

Abstract

The invention discloses a photovoltaic module health state evaluation method and device, electronic equipment and a storage medium, and the method and device are applied to the electronic equipment, and specifically comprise the steps: obtaining basic data of a plurality of photovoltaic modules of a distributed photovoltaic field station, the basic data comprises part or all of direct current, direct current voltage, direct current power, daily cumulative generating capacity, daily cumulative irradiance, instantaneous irradiance, photovoltaic module temperature and inverter efficiency; generating volt-ampere curves of the plurality of photovoltaic modules under a preset condition according to the basic data; and based on the selected health state evaluation category, processing the volt-ampere curve to obtain a health state index of a target photovoltaic module in the plurality of photovoltaic modules. According to the scheme, the photovoltaic module of the distributed photovoltaic station can be quantitatively evaluated, and an objective evaluation result is obtained, so that operation and maintenance personnel can perform efficient and accurate operation and maintenance on the distributed photovoltaic station based on the objective evaluation result.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and more specifically, to a method, device, electronic device and storage medium for evaluating the health status of a photovoltaic module. Background Art

[0002] Distributed photovoltaic stations generally have the characteristics of relatively small installed capacity, scattered layout and remote distance between stations. The abnormal conditions and failures that occur often show the complexity of multi-level and multi-factor interweaving. At present, the power generation performance of distributed photovoltaic stations is mainly evaluated by PR value (performance ratio). As a key indicator for evaluating the performance of photovoltaic systems, PR value reflects the comprehensive performance of the entire link of photovoltaic systems, such as irradiation loss, photovoltaic module efficiency, inverter efficiency, transformer loss, and line loss. However, as the core component of photovoltaic stations, the efficiency of photovoltaic modules is affected by multi-level and multi-factors such as age, light, dust, temperature, inverter MPPT performance, and failures, resulting in a single PR value that is difficult to accurately reflect its health status, making it impossible to serve as the basis for the operation and maintenance of photovoltaic modules, and it is difficult to support the efficient and accurate operation and maintenance of distributed photovoltaic stations, resulting in poor operation and maintenance effects of photovoltaic modules. Summary of the invention

[0003] In view of this, the present application provides a method, device, electronic device and storage medium for evaluating the health status of photovoltaic components, which are used to quantitatively evaluate the photovoltaic components of distributed photovoltaic stations, so as to obtain objective evaluation results, so that operation and maintenance personnel can perform efficient and accurate operation and maintenance of distributed photovoltaic stations based on the evaluation results.

[0004] In order to achieve the above objectives, the proposed solution is as follows:

[0005] A method for evaluating the health status of photovoltaic components is applied to electronic equipment and is used to quantitatively evaluate the health status of photovoltaic components of a distributed photovoltaic station. The evaluation method comprises the following steps:

[0006] Acquire basic data of multiple photovoltaic modules of the distributed photovoltaic station, wherein the basic data includes part or all of direct current current, direct current voltage, direct current power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic module temperature and inverter efficiency;

[0007] Generating volt-ampere curves of the plurality of photovoltaic modules under preset conditions according to the basic data;

[0008] Based on the selected health status evaluation category, the volt-ampere curve is processed to obtain a health status indicator of a target photovoltaic component among the multiple photovoltaic components.

[0009] Optionally, the health status evaluation category is absolute health status evaluation and / or relative health status evaluation, and the health status indicator includes an absolute health status indicator corresponding to the absolute health status evaluation and / or a relative health status indicator corresponding to the relative health status evaluation.

[0010] Optionally, the step of processing the volt-ampere curve based on the health status evaluation to obtain a health status indicator of a target photovoltaic component among the multiple photovoltaic components comprises the following steps:

[0011] Based on the absolute health status evaluation, a first intelligent evaluation algorithm based on fuzzy theory and support vector machine is used to process the volt-ampere curve to obtain the absolute health status index;

[0012] Based on the relative health status evaluation, the volt-ampere curve is processed based on a second intelligent evaluation algorithm with time series analysis and normal distribution as the core to obtain the relative health status index.

[0013] Optionally, the absolute health status evaluation is based on a first intelligent evaluation algorithm based on fuzzy theory and support vector machine as the core to process the voltammetric curve to obtain the absolute health status index, including the steps of:

[0014] Absoluteizing the volt-ampere curve of the target photovoltaic module to obtain an absolute volt-ampere curve;

[0015] Comparing the absolute volt-ampere curve with the factory volt-ampere curve of the photovoltaic module to obtain a first comparison result parameter;

[0016] Comparing the absolute volt-ampere curve with the absolute volt-ampere curves of other distributed photovoltaic power generation fields to obtain a second comparison result parameter;

[0017] The first comparison result parameter and / or the second comparison result parameter are processed based on the first intelligent evaluation algorithm to obtain the absolute health status index.

[0018] Optionally, the relative health status evaluation is based on processing the voltammetric curve based on a second intelligent evaluation algorithm with time series analysis and normal distribution as the core to obtain the relative health status index, comprising the steps of:

[0019] Relativizing the volt-ampere curve of the target photovoltaic module to obtain a relative volt-ampere curve;

[0020] Comparing the relative volt-ampere curve with the historical volt-ampere curve of the target photovoltaic module to obtain a third comparison result parameter;

[0021] Comparing the relative volt-ampere curve with relative volt-ampere curves of other photovoltaic modules in the same distributed photovoltaic power generation field to obtain a third comparison result parameter;

[0022] The third comparison result parameter and / or the fourth comparison result parameter are processed based on the second intelligent evaluation algorithm to obtain the relative health status index.

[0023] Optionally, the following steps are also included:

[0024] An operation plan and / or maintenance plan for the distributed photovoltaic station is provided based on the health status indicator.

[0025] A photovoltaic module health status evaluation device is applied to electronic equipment and is used to quantitatively evaluate the health status of photovoltaic modules of a distributed photovoltaic station. The evaluation device includes:

[0026] A parameter acquisition module is configured to obtain basic data of multiple photovoltaic modules of the distributed photovoltaic station, wherein the basic data includes part or all of direct current, direct current voltage, direct current power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic module temperature and inverter efficiency;

[0027] A curve generating module, configured to generate a volt-ampere curve of the plurality of photovoltaic modules under preset conditions according to the basic data;

[0028] The evaluation execution module is configured to process the volt-ampere curve based on the selected health status evaluation category to obtain a health status indicator of a target photovoltaic component among the multiple photovoltaic components.

[0029] Optionally, also include:

[0030] The plan generation module is configured to provide an operation plan and / or a maintenance plan for the distributed photovoltaic station based on the health status indicator.

[0031] An electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0032] The memory is used to store computer programs or instructions;

[0033] The processor is used to execute the computer program or instruction so that the electronic device can implement the photovoltaic component health status evaluation method as described above.

[0034] A computer-readable storage medium is applied to an electronic device, wherein the storage medium carries one or more computer programs, and the one or more computer programs can be executed by the electronic device, so that the electronic device can implement the method for evaluating the health status of a photovoltaic component as described above.

[0035] It can be seen from the above technical scheme that the present application discloses a method, device, electronic device and storage medium for evaluating the health status of photovoltaic components. The method and device are applied to electronic devices and are used to quantitatively evaluate the health status of photovoltaic components of distributed photovoltaic stations. Specifically, the basic data of multiple photovoltaic components of distributed photovoltaic stations are obtained, and the basic data include DC current, DC voltage, DC power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic component temperature and inverter efficiency. Some or all of them; based on the basic data, the volt-ampere curves of multiple photovoltaic components under preset conditions are generated; based on the selected health status evaluation category, the volt-ampere curves are processed to obtain the health status indicators of the target photovoltaic components among the multiple photovoltaic components. This scheme can realize quantitative evaluation of photovoltaic components of distributed photovoltaic stations and obtain relatively objective evaluation results, so that operation and maintenance personnel can perform efficient and accurate operation and maintenance of distributed photovoltaic stations based on the objective evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0037] Figure 1 A flowchart of a method for evaluating the health status of a photovoltaic module according to an embodiment of the present application;

[0038] Figure 2 A flowchart of another method for evaluating the health status of a photovoltaic module according to an embodiment of the present application;

[0039] Figure 3 A block diagram of a photovoltaic module health status evaluation device according to an embodiment of the present application;

[0040] Figure 4 A block diagram of another method for evaluating the health status of a photovoltaic module according to an embodiment of the present application;

[0041] Figure 5 A block diagram of another method for evaluating the health status of a photovoltaic module according to an embodiment of the present application;

[0042] Figure 6 A block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0044] In order to improve the efficiency and accuracy of industrial and commercial photovoltaic operation and maintenance, this application makes full use of the data resources gathered by the photovoltaic cloud IoT platform, and diagnoses the photovoltaic system from the two perspectives of photovoltaic life cycle and abnormality by deeply analyzing the characteristics of the IV (current-voltage) curve (referred to as the volt-ampere curve in this application) of the photovoltaic module, so as to achieve accurate quantitative evaluation of the absolute health and relative health status of the photovoltaic module, make up for the limitation of relying solely on the PR value (performance ratio) of the whole station to evaluate the photovoltaic power generation capacity, support the efficiency, professionalism and standardization of operation and maintenance work, and improve the quality of industrial and commercial photovoltaic operation and maintenance.

[0045] Figure 1 This is a flow chart of a method for evaluating the health status of a photovoltaic module according to an embodiment of the present application.

[0046] like Figure 1 As shown, the evaluation method provided in this embodiment is applied to an electronic device, and is used to obtain the health status of the photovoltaic components in the station based on the analysis of the basic data obtained by the photovoltaic cloud Internet of Things platform that performs distributed control on the distributed photovoltaic station. The electronic device can be understood as a computer, server, cloud platform or the above-mentioned photovoltaic cloud Internet of Things platform with information processing capability and data computing capability. The evaluation method specifically includes the following steps:

[0047] S1. Obtain basic data of multiple photovoltaic modules in a distributed photovoltaic station.

[0048] According to the State Grid Corporation of China's Notice on Issuing the Management Rules for Distributed Power Grid Connection Services (State Grid Marketing

[2014] No. 174), distributed photovoltaic systems are different from centralized photovoltaic systems and have the characteristics of small scale, flexible dispersion, and rooftop installation. They are generally defined as follows:

[0049] Category 1: Distributed power sources with access at a voltage level below 10kV and a total installed capacity of no more than 6MW at a single grid-connected point; Category 2: Distributed power sources with access at a voltage level of 35kV and an annual self-generation and self-consumption rate of more than 50%; or distributed power sources with access at a voltage level of 10kV and a total installed capacity of more than 6MW at a single grid-connected point, and an annual self-generation and self-consumption rate of more than 50%; Category 3: Power generation projects with a public connection point as the access point and all power generation connected to the grid.

[0050] In order to evaluate the health status of PV modules, it is necessary to collect basic data of multiple PV modules. The basic data includes but is not limited to the body temperature, DC voltage, DC current, DC power and daily cumulative power generation of the corresponding PV modules, as well as the daily cumulative irradiance of the environment in which the corresponding site is located, the instantaneous irradiance at the corresponding time point, and the inverter efficiency.

[0051] S2. Generate volt-ampere curves of multiple photovoltaic modules based on basic data.

[0052] That is, a volt-ampere curve (IV curve) is generated for each photovoltaic module according to the corresponding basic data. If there are multiple photovoltaic modules, multiple volt-ampere curves will be generated. The volt-ampere curve of photovoltaic modules is widely used in the prior art, and this application does not make too many regulations, so no special explanation is given here.

[0053] S3. Obtain a health status indicator of the target photovoltaic module based on processing the volt-ampere curve.

[0054] That is, after obtaining the volt-ampere curve of each photovoltaic module, the volt-ampere curve of the selected target photovoltaic module is processed based on the selected health status evaluation category, thereby obtaining the health status index of the target photovoltaic module. The target photovoltaic module refers to the photovoltaic module selected in the distributed photovoltaic station, that is, the specific photovoltaic module whose health status needs to be evaluated. The number of target photovoltaic modules of this application is not limited, that is, it can be one or more photovoltaic modules in the distributed photovoltaic station, or it can be all photovoltaic modules in the station.

[0055] The health status evaluation categories in this application are absolute health status evaluation and relative health status evaluation. Thus, the health status indicators of this application include an absolute health status indicator corresponding to the absolute health status evaluation and a relative health status indicator corresponding to the relative health status evaluation, or only the absolute health status indicator or the relative health status indicator. The following table provides a health status evaluation system for photovoltaic modules, which includes an absolute health status evaluation and a relative health status evaluation.

[0056]

[0057]

[0058] Specifically, the indicators are determined in the following ways:

[0059] On the one hand, based on the absolute health status evaluation, the first intelligent evaluation algorithm based on fuzzy theory and support vector machine is used to process the volt-ampere curve to obtain the absolute health status index. The specific process is as follows:

[0060] Firstly, the volt-ampere curve of the selected target photovoltaic module is absolutized to obtain an absolute volt-ampere curve;

[0061] Then, the absolute volt-ampere curve is compared with the factory volt-ampere curve of the target photovoltaic module to obtain a first comparison result parameter;

[0062] Then, the absolute volt-ampere curve is compared with the absolute volt-ampere curves of other distributed photovoltaic power plants to obtain a second comparison result parameter;

[0063] Finally, the first comparison result parameter and the second comparison result parameter are processed based on the first intelligent evaluation algorithm, or only the first comparison result parameter or the second comparison result parameter is processed based on the first intelligent evaluation algorithm to obtain an absolute health status indicator.

[0064] On the other hand, based on the relative health status evaluation and based on the second intelligent evaluation algorithm with time series analysis and normal distribution as the core, the voltammetric curve is processed to obtain the relative health status index.

[0065] The specific process is as follows:

[0066] Firstly, the volt-ampere curve of the selected target photovoltaic module is relativized to obtain a relative volt-ampere curve;

[0067] Comparing the relative volt-ampere curve with the historical volt-ampere curve of the photovoltaic module to obtain a third comparison result parameter;

[0068] Then, the relative volt-ampere curve is compared with the relative volt-ampere curves of other photovoltaic modules in the same distributed photovoltaic power generation field to obtain a third comparison result parameter;

[0069] Finally, the third comparison result parameter and the fourth comparison result parameter are processed based on the second intelligent evaluation algorithm, or only the third comparison result parameter or the fourth comparison result parameter is processed based on the second intelligent evaluation algorithm to obtain a relative health status index.

[0070] It can be seen from the above technical scheme that this embodiment provides a method for evaluating the health status of photovoltaic components. The method is applied to electronic equipment and is used to quantitatively evaluate the health status of photovoltaic components of distributed photovoltaic stations. Specifically, the basic data of multiple photovoltaic components of distributed photovoltaic stations are obtained, and the basic data include DC current, DC voltage, DC power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic component temperature and inverter efficiency. Some or all of them; based on the basic data, the volt-ampere curves of multiple photovoltaic components under preset conditions are generated; based on the selected health status evaluation category, the volt-ampere curves are processed to obtain the health status indicators of the target photovoltaic components among the multiple photovoltaic components. This scheme can realize quantitative evaluation of photovoltaic components of distributed photovoltaic stations and obtain relatively objective evaluation results, so that operation and maintenance personnel can perform efficient and accurate operation and maintenance of distributed photovoltaic stations based on the objective evaluation results.

[0071] In addition, in a specific implementation of the present application, the following steps are also included: Figure 2 shown.

[0072] S4. Provide operation and maintenance plans based on health status indicators.

[0073] That is, when the above-mentioned relatively objective health status indicators are obtained, an operation plan and a maintenance plan are given to the distributed photovoltaic station based on the indicators, or only an operation plan or a maintenance plan is given.

[0074] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0075] Although operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown or in a sequential order.Multitasking and parallel processing may be advantageous under certain circumstances.

[0076] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0077] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, Python, and the like, as well as conventional procedural programming languages, such as C or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer.

[0078] Figure 3 A block diagram of a photovoltaic module health status evaluation device according to an embodiment of the present application.

[0079] like Figure 3 As shown, the evaluation device provided in this embodiment is applied to an electronic device, and is used to obtain the health status of photovoltaic components in the station based on the analysis of basic data obtained by the photovoltaic cloud Internet of Things platform that performs distributed control of distributed photovoltaic stations. The electronic device can be understood as a computer, server, cloud platform or the above-mentioned photovoltaic cloud Internet of Things platform with information processing capabilities and data calculation capabilities. The evaluation device specifically includes a parameter acquisition module 10, a curve generation module 20 and an evaluation execution module 30.

[0080] The parameter acquisition module is used to obtain basic data of multiple photovoltaic components in distributed photovoltaic stations.

[0081] Distributed photovoltaic stations refer to distributed photovoltaic power generation systems that comply with national and power industry standards and specifications, and are characterized by small scale, flexible and decentralized layout, and widespread rooftop installation.

[0082] In order to evaluate the health status of PV modules, it is necessary to collect basic data of multiple PV modules. The basic data includes but is not limited to the body temperature, DC voltage, DC current, DC power and daily cumulative power generation of the corresponding PV modules, as well as the daily cumulative irradiance of the environment in which the corresponding site is located, the instantaneous irradiance at the corresponding time point, and the inverter efficiency.

[0083] The curve generation module is used to generate volt-ampere curves of multiple photovoltaic modules according to basic data.

[0084] That is, a volt-ampere curve (IV curve) is generated for each photovoltaic module according to the corresponding basic data. If there are multiple photovoltaic modules, multiple volt-ampere curves will be generated. The volt-ampere curve of photovoltaic modules is widely used in the prior art, and this application does not make too many regulations, so no special explanation is given here.

[0085] The evaluation execution module is used to obtain the health status index of the target photovoltaic component according to the processing of the volt-ampere curve.

[0086] That is, after obtaining the volt-ampere curve of each photovoltaic module, the volt-ampere curve of the selected target photovoltaic module is processed based on the selected health status evaluation category, thereby obtaining the health status index of the target photovoltaic module. The target photovoltaic module refers to the photovoltaic module selected in the distributed photovoltaic station, that is, the specific photovoltaic module whose health status needs to be evaluated. The number of target photovoltaic modules of this application is not limited, that is, it can be one or more photovoltaic modules in the distributed photovoltaic station, or it can be all photovoltaic modules in the station.

[0087] The health status evaluation categories in this application are absolute health status evaluation and relative health status evaluation. Thus, the health status indicators of this application include an absolute health status indicator corresponding to the absolute health status evaluation and a relative health status indicator corresponding to the relative health status evaluation, or only the absolute health status indicator or the relative health status indicator. The following table provides a health status evaluation system for photovoltaic modules, which includes an absolute health status evaluation and a relative health status evaluation.

[0088]

[0089]

[0090] Specifically, the evaluation execution module includes a first evaluation unit 31 and a second evaluation unit 32. Figure 4 shown.

[0091] The first evaluation unit is used to evaluate the absolute health status and process the volt-ampere curve based on the first intelligent evaluation algorithm based on fuzzy theory and support vector machine to obtain the absolute health status index. The specific process is as follows:

[0092] Firstly, the volt-ampere curve of the selected target photovoltaic module is absolutized to obtain an absolute volt-ampere curve;

[0093] Then, the absolute volt-ampere curve is compared with the factory volt-ampere curve of the target photovoltaic module to obtain a first comparison result parameter;

[0094] Then, the absolute volt-ampere curve is compared with the absolute volt-ampere curves of other distributed photovoltaic power plants to obtain a second comparison result parameter;

[0095] Finally, the first comparison result parameter and the second comparison result parameter are processed based on the first intelligent evaluation algorithm, or only the first comparison result parameter or the second comparison result parameter is processed based on the first intelligent evaluation algorithm to obtain an absolute health status indicator.

[0096] The second evaluation unit is used to evaluate the relative health status and process the volt-ampere curve based on the second intelligent evaluation algorithm with time series analysis and normal distribution as the core to obtain the relative health status index. The specific process is as follows:

[0097] Firstly, the volt-ampere curve of the selected target photovoltaic module is relativized to obtain a relative volt-ampere curve;

[0098] Comparing the relative volt-ampere curve with the historical volt-ampere curve of the photovoltaic module to obtain a third comparison result parameter;

[0099] Then, the relative volt-ampere curve is compared with the relative volt-ampere curves of other photovoltaic modules in the same distributed photovoltaic power generation field to obtain a third comparison result parameter;

[0100] Finally, the third comparison result parameter and the fourth comparison result parameter are processed based on the second intelligent evaluation algorithm, or only the third comparison result parameter or the fourth comparison result parameter is processed based on the second intelligent evaluation algorithm to obtain a relative health status index.

[0101] It can be seen from the above technical scheme that this embodiment provides a device for evaluating the health status of photovoltaic components, which is applied to electronic equipment and is used to quantitatively evaluate the health status of photovoltaic components of distributed photovoltaic stations, specifically to obtain basic data of multiple photovoltaic components of distributed photovoltaic stations, the basic data including DC current, DC voltage, DC power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic component temperature and inverter efficiency, part or all; generate volt-ampere curves of multiple photovoltaic components under preset conditions based on the basic data; based on the selected health status evaluation category, process the volt-ampere curve to obtain the health status index of the target photovoltaic component among the multiple photovoltaic components. This scheme can realize quantitative evaluation of photovoltaic components of distributed photovoltaic stations and obtain relatively objective evaluation results, so that operation and maintenance personnel can perform efficient and accurate operation and maintenance of distributed photovoltaic stations based on the objective evaluation results.

[0102] In addition, in a specific embodiment of the present application, a solution generation module 40 is also included, such as Figure 5 shown.

[0103] The plan generation module is used to provide operation plans and maintenance plans based on health status indicators.

[0104] That is, when the above-mentioned relatively objective health status indicators are obtained, an operation plan and a maintenance plan are given to the distributed photovoltaic station based on the indicators, or only an operation plan or a maintenance plan is given.

[0105] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

[0106] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0107] Figure 6 A block diagram of an electronic device according to an embodiment of the present application.

[0108] Reference below Figure 6 , which shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present disclosure. The terminal device in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The electronic device is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0109] The electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory ROM 602 or a program loaded from an input device 606 into a random access memory RAM 603. In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM, and RAM are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0110] Typically, the following devices may be connected to the I / O interface: input devices including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 608 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 609. The communication device 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows an electronic device with various devices, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0111] The present application also provides a computer-readable storage medium embodiment.

[0112] The computer-readable storage medium is applied to an electronic device and carries one or more computer programs. When the one or more computer programs are executed by the electronic device, the electronic device is used to quantitatively evaluate the health status of the photovoltaic components of the distributed photovoltaic station, specifically to obtain the basic data of multiple photovoltaic components of the distributed photovoltaic station, the basic data including part or all of the DC current, DC voltage, DC power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic component temperature and inverter efficiency; generate the volt-ampere curves of multiple photovoltaic components under preset conditions according to the basic data; based on the selected health status evaluation category, process the volt-ampere curve to obtain the health status index of the target photovoltaic component among the multiple photovoltaic components. This solution can realize quantitative evaluation of the photovoltaic components of the distributed photovoltaic station and obtain a relatively objective evaluation result, so that the operation and maintenance personnel can perform efficient and accurate operation and maintenance of the distributed photovoltaic station based on the objective evaluation result.

[0113] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0114] In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0115] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0116] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0117] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0118] The technical solution provided by the present invention is introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for evaluating the health status of photovoltaic components, applied to electronic equipment, for quantitatively evaluating the health status of photovoltaic components of distributed photovoltaic stations, characterized in that: The evaluation method comprises the steps of: Acquire basic data of multiple photovoltaic modules of the distributed photovoltaic station, wherein the basic data includes part or all of direct current current, direct current voltage, direct current power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic module temperature and inverter efficiency; Generating volt-ampere curves of the plurality of photovoltaic modules under preset conditions according to the basic data; Based on the selected health status evaluation category, the volt-ampere curve is processed to obtain a health status indicator of a target photovoltaic component among the multiple photovoltaic components.

2. The evaluation method according to claim 1, wherein: The health status evaluation category is absolute health status evaluation and / or relative health status evaluation, and the health status index includes an absolute health status index corresponding to the absolute health status evaluation and / or a relative health status index corresponding to the relative health status evaluation.

3. The evaluation method according to claim 2, characterized in that: The step of processing the volt-ampere curve based on the health status evaluation to obtain a health status indicator of a target photovoltaic component among the plurality of photovoltaic components comprises the following steps: Based on the absolute health status evaluation, a first intelligent evaluation algorithm based on fuzzy theory and support vector machine is used to process the volt-ampere curve to obtain the absolute health status index; Based on the relative health status evaluation, the volt-ampere curve is processed based on a second intelligent evaluation algorithm with time series analysis and normal distribution as the core to obtain the relative health status index.

4. The evaluation method according to claim 3, characterized in that: The absolute health status evaluation is based on the first intelligent evaluation algorithm based on fuzzy theory and support vector machine as the core to process the volt-ampere curve to obtain the absolute health status index, including the steps of: Absoluteizing the volt-ampere curve of the target photovoltaic module to obtain an absolute volt-ampere curve; Comparing the absolute volt-ampere curve with the factory volt-ampere curve of the photovoltaic module to obtain a first comparison result parameter; Comparing the absolute volt-ampere curve with the absolute volt-ampere curves of other distributed photovoltaic power generation fields to obtain a second comparison result parameter; The first comparison result parameter and / or the second comparison result parameter are processed based on the first intelligent evaluation algorithm to obtain the absolute health status index.

5. The evaluation method according to claim 3, characterized in that: The relative health status evaluation is based on the second intelligent evaluation algorithm based on time series analysis and normal distribution to process the volt-ampere curve to obtain the relative health status index, including the steps of: Relativizing the volt-ampere curve of the target photovoltaic module to obtain a relative volt-ampere curve; Comparing the relative volt-ampere curve with the historical volt-ampere curve of the target photovoltaic module to obtain a third comparison result parameter; Comparing the relative volt-ampere curve with relative volt-ampere curves of other photovoltaic modules in the same distributed photovoltaic power generation field to obtain a third comparison result parameter; The third comparison result parameter and / or the fourth comparison result parameter are processed based on the second intelligent evaluation algorithm to obtain the relative health status index.

6. The evaluation method according to any one of claims 1 to 5, characterized in that: Also includes the steps: An operation plan and / or maintenance plan for the distributed photovoltaic station is provided based on the health status indicator.

7. A photovoltaic module health status evaluation device, applied to electronic equipment, for quantitatively evaluating the health status of photovoltaic modules of distributed photovoltaic stations, characterized in that: The evaluation device comprises: A parameter acquisition module is configured to obtain basic data of multiple photovoltaic modules of the distributed photovoltaic station, wherein the basic data includes part or all of direct current, direct current voltage, direct current power, daily cumulative power generation, daily cumulative irradiance, instantaneous irradiance, photovoltaic module temperature and inverter efficiency; A curve generating module, configured to generate a volt-ampere curve of the plurality of photovoltaic modules under preset conditions according to the basic data; The evaluation execution module is configured to process the volt-ampere curve based on the selected health status evaluation category to obtain a health status indicator of a target photovoltaic component among the multiple photovoltaic components.

8. The evaluation device according to claim 7, characterized in that Also includes: The plan generation module is configured to provide an operation plan and / or a maintenance plan for the distributed photovoltaic station based on the health status indicator.

9. An electronic device, characterized in that: The electronic device comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs or instructions; The processor is used to execute the computer program or instruction so that the electronic device can implement the method for evaluating the health status of a photovoltaic component according to any one of claims 1 to 6.

10. A computer-readable storage medium, applied to an electronic device, characterized in that: The storage medium carries one or more computer programs, and the one or more computer programs can be executed by the electronic device, so that the electronic device can implement the method for evaluating the health status of a photovoltaic component as described in any one of claims 1 to 6.

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