Photovoltaic module evaluation method and device based on production data

Abstract

The invention relates to the technical field of monitoring or evaluation of photovoltaic systems, and discloses a photovoltaic module evaluation method and device based on production data. The method comprises the following steps: obtaining production data of a to-be-evaluated photovoltaic module in an operation process; determining a performance evaluation index of the photovoltaic module to be evaluated according to the production data, wherein the performance evaluation index comprises one or more evaluation factors; obtaining an admission evaluation index and an operation and maintenance evaluation index of the photovoltaic module to be evaluated, wherein the admission evaluation index and the operation and maintenance evaluation index both comprise one or more evaluation factors; and determining a comprehensive score of the to-be-evaluated photovoltaic module according to the value of the to-be-evaluated photovoltaic module for each evaluation factor and the weight corresponding to each evaluation factor. According to the access evaluation factor, the performance evaluation factor based on the photovoltaic module production data and the after-sales operation and maintenance evaluation factor, the photovoltaic module is comprehensively evaluated, and the accuracy and scientificity of photovoltaic module type selection are improved.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic system monitoring or evaluation technology, specifically to a method and apparatus for evaluating photovoltaic modules based on production data. Background Technology

[0002] The development of photovoltaic (PV) modules has progressed from the initial polycrystalline modules to monocrystalline P-type modules, and then to N-type tunneling oxide passivated contact modules (N-Type Topcon), heterojunction back contact modules (HBC), and intrinsic thin-layer heterojunction modules (HJT), resulting in a wide variety of module forms. As a crucial component for converting solar energy into electrical energy, the selection of PV modules determines the conversion efficiency and equipment availability, directly impacting the power generation efficiency and output of PV power projects.

[0003] The selection of photovoltaic (PV) modules for related technology development projects is primarily based on the price of PV module equipment and the parameters in the instruction manual. However, blindly pursuing the lowest unit price during selection can overlook the defects in materials and processes of existing low-cost modules. These defects are often not mentioned in the instruction manual but significantly shorten the module's lifespan. Secondly, the parameters in the equipment instruction manual are derived from laboratory standard calculations, which are highly likely to be out of sync with actual operating conditions, leading to misjudgments of actual performance during selection. Therefore, applying related technologies to select PV modules carries significant risks and potential for misjudgment. Summary of the Invention

[0004] This invention provides a photovoltaic module evaluation method and apparatus based on production data to address the problems of blindness and potential technical risks in the selection of photovoltaic modules in related technologies.

[0005] In a first aspect, the present invention provides a photovoltaic module evaluation method based on production data, which obtains production data during the operation of the photovoltaic module to be evaluated. The performance evaluation indicators of the photovoltaic modules to be evaluated are determined based on production data. The performance evaluation indicators include one or more evaluation factors. Obtain the access evaluation indicators and operation and maintenance evaluation indicators of the photovoltaic modules to be evaluated. Both the access evaluation indicators and the operation and maintenance evaluation indicators contain one or more evaluation factors. Based on the values ​​of the photovoltaic modules to be evaluated for each evaluation factor and the corresponding weights of each evaluation factor, the comprehensive score of the photovoltaic modules to be evaluated is determined. Weight analysis is then performed based on the evaluation factors to obtain the comprehensive score of the photovoltaic modules. The photovoltaic module evaluation method based on production data provided in this embodiment constructs a multi-dimensional evaluation system to comprehensively evaluate photovoltaic modules by acquiring access evaluation factors, operational data performance evaluation factors, and operation and maintenance evaluation factors. The performance evaluation indicators are obtained based on inverter production platform data and on-site radiation station data under the photovoltaic module's operating status. The evaluation focuses on the actual operating effect, reducing the blindness of existing photovoltaic module evaluation technologies that rely solely on photovoltaic module manufacturer's manuals or laboratory test values, and increasing the support for photovoltaic module operating data and fault conditions under different environments.

[0006] In one optional implementation, the performance evaluation index includes evaluation factors including conversion efficiency, and the production data includes radiation station data of the photovoltaic module to be evaluated and the operating data of the inverter connected to the photovoltaic module to be evaluated during operation. The step of determining the conversion efficiency includes: The annual total radiation value of the tested photovoltaic modules is determined based on radiation station data. The radiation station data is obtained by testing the photovoltaic modules, and the operating environment of the tested photovoltaic modules is the same as that of the photovoltaic modules to be evaluated. The total annual power generation of the string to which the tested photovoltaic modules belong and the total module capacity of the string to which the tested photovoltaic modules belong are determined based on the operating data. The conversion efficiency is calculated by correcting the theoretical conversion efficiency value of the optical module to be evaluated based on the annual total radiation value, annual total power generation, and total module capacity.

[0007] By determining the actual conversion efficiency value of the photovoltaic module to be evaluated by the total annual radiation value, total annual power generation, and total module capacity, a more accurate photovoltaic module conversion efficiency is obtained. This is beneficial for subsequent calculation of the conversion efficiency dispersion rate, and for evaluating photovoltaic modules based on production data during operation. It also reduces the error caused by the theoretical conversion efficiency value measured under ideal conditions, making the evaluation more scientific and comprehensive.

[0008] In one optional implementation, the performance evaluation index includes evaluation factors such as conversion efficiency dispersion, and the step of obtaining the conversion efficiency dispersion includes: Obtain the conversion efficiency of each photovoltaic string in the photovoltaic power station to be evaluated; Calculate the variance of the conversion efficiency of each photovoltaic string to obtain the conversion efficiency dispersion rate.

[0009] The efficiency dispersion of inverters is measured and scored using a relative value method. A low dispersion rate results in a high score, and vice versa. The efficiency dispersion rate represents the degree of variation in the conversion efficiency of the corresponding inverters in each string of photovoltaic modules being evaluated. Since the photovoltaic modules used in a photovoltaic power plant are of the same model, a low efficiency dispersion rate indicates that the conversion efficiency differences between the corresponding inverters in each string of inverters within the photovoltaic power plant are small. This small difference, in turn, proves the high stability of this type of photovoltaic module. A high efficiency dispersion rate indicates instability during operation, requiring investigation of equipment problems.

[0010] In one optional implementation, the performance evaluation indicators include evaluation factors such as fault alarm frequency and maintenance time. The production data includes fault operation data of the inverter connected to the photovoltaic module to be evaluated during operation. The fault operation data contains multiple fault events. The steps for determining the fault alarm frequency and maintenance time include: Identify the faulty equipment corresponding to each fault event in the fault operation data; Based on the fault operation data, the fault frequency and fault repair time of the photovoltaic module to be evaluated as a faulty device are determined.

[0011] By eliminating fault alarms caused by non-PV module failures, the fault data and repair time of the PV modules under evaluation are obtained. This data serves as an evaluation factor for module performance, measuring the failure frequency and repair speed. By relating this to the actual production status of PV modules during operation, the modules can be evaluated more effectively.

[0012] In one alternative implementation, prior to the step of determining the annual total radiation value of the tested photovoltaic modules based on radiation station data, the method further includes: Determine the first time period during which all photovoltaic modules connected to the inverter fail based on operational data; The DC-side power and AC-side power at different times are determined based on the operating data, and a second time period in which the DC-side power is less than the AC-side power is determined. The third time period in which the inverter malfunctioned was determined based on the operating data; Radiation values ​​from the first, second, and third time periods were removed from the radiation station data.

[0013] By eliminating radiation station data to determine the annual total radiation value of the tested photovoltaic modules across three time periods, measurement errors caused by erroneous data are avoided, further improving the accuracy of subsequent calculations of photovoltaic module conversion efficiency.

[0014] In one alternative implementation, the theoretical conversion efficiency value of the optical component to be evaluated is corrected using the following formula:

[0015] in, To test the total annual power generation of the photovoltaic module string; To test the annual total radiation value of photovoltaic modules; This represents the theoretical conversion efficiency value of the photovoltaic module to be evaluated. To test the total capacity of the photovoltaic modules.

[0016] The actual conversion efficiency of the photovoltaic module to be evaluated is calculated using this formula. Combined with the actual annual total power generation, annual total radiation value, and total capacity of the photovoltaic module to be evaluated during operation, the theoretical conversion efficiency is corrected to obtain an evaluation factor for the module's performance index. The performance of the photovoltaic module to be evaluated is then measured using specific values.

[0017] Secondly, the present invention provides a photovoltaic module evaluation device based on production data. The device includes a data acquisition module for acquiring production data during the operation of the photovoltaic module to be evaluated; a first evaluation index acquisition module for determining performance evaluation indicators of the photovoltaic module to be evaluated based on the production data, wherein the performance evaluation indicators include one or more evaluation factors; a second evaluation index acquisition module for acquiring access evaluation indicators and operation and maintenance evaluation indicators of the photovoltaic module to be evaluated, wherein both access evaluation indicators and operation and maintenance evaluation indicators include one or more evaluation factors; and a comprehensive scoring module for determining a comprehensive score of the photovoltaic module to be evaluated based on the values ​​of the photovoltaic module to be evaluated for each evaluation factor and the corresponding weights of each evaluation factor.

[0018] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the photovoltaic module evaluation method based on production data described in the first aspect or any corresponding embodiment thereof.

[0019] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the photovoltaic module evaluation method based on production data according to the first aspect or any corresponding embodiment described above.

[0020] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the photovoltaic module evaluation method based on production data described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the specific embodiments or related technologies of the present invention, the drawings used in the description of the specific embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating a photovoltaic module evaluation method based on production data according to an embodiment of the present invention. Figure 3 This is a structural block diagram of a photovoltaic module evaluation device based on production data according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0025] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0026] As an optional application scenario of this invention, such as Figure 1 As shown, this photovoltaic module evaluation method based on production data may include at least one terminal device and at least one server. Figure 1 The system is illustrated in the example, which includes a computer 101, a mobile terminal 102, and a server 103, and the terminal devices such as the computer 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0027] Specifically, the terminal device can be a smartphone, tablet, laptop, PDA, desktop computer, game console, smart TV, smart wearable device, in-vehicle terminal, VR (Virtual Reality) device, AR (Augmented Reality) device, etc. Server 103 can be a standalone physical server, a server cluster, a distributed system, or a cloud server providing cloud services. Network 110 can be a wired or wireless network, examples of which include, but are not limited to, the Internet, corporate intranet, local area network, wide area network, mobile communication network, and combinations thereof.

[0028] It should be noted that, Figure 1 This is merely an example of an application scenario and does not limit the scope of protection of this invention.

[0029] The main technology for evaluating photovoltaic modules is to select models based on equipment prices and specifications. This invention provides a photovoltaic module evaluation method based on production data. By using access evaluation factors, performance evaluation factors based on photovoltaic module production data, and after-sales operation and maintenance evaluation factors, a comprehensive evaluation of photovoltaic module selection is conducted, improving the accuracy and scientific nature of the selection.

[0030] According to an embodiment of the present invention, a photovoltaic module evaluation method based on production data is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0031] This embodiment provides a photovoltaic module evaluation method based on production data, which can be used on the aforementioned mobile terminals, such as mobile phones and tablets. Figure 2 This is a flowchart of a photovoltaic module evaluation method based on production data according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Obtain production data during the operation of the photovoltaic module to be evaluated.

[0032] In one optional embodiment, the production data may be component fault data and power generation data from each inverter production platform, as well as on-site radiation station data, collected through a remote centralized monitoring system.

[0033] In one optional embodiment, the inverter production platform acquiring string production data refers to the process by which the inverter collects the operating parameters of the photovoltaic string in real time through hardware interfaces and communication protocols, and transmits these data to the monitoring platform for analysis and application.

[0034] Step S202: Determine the performance evaluation indicators of the photovoltaic module to be evaluated based on the production data. The performance evaluation indicators include one or more evaluation factors.

[0035] In one optional embodiment, the evaluation factors in the performance evaluation index include one or more of the following: conversion efficiency, photovoltaic module failure rate, maintenance time, and conversion efficiency dispersion rate.

[0036] Step S203: Obtain the access evaluation index and operation and maintenance evaluation index of the photovoltaic module to be evaluated. Both the access evaluation index and the operation and maintenance evaluation index contain one or more evaluation factors.

[0037] In one optional embodiment, the evaluation factors in the access evaluation indicators include one or more of the following: historical performance, contract fulfillment, and price per watt; the evaluation factors in the operation and maintenance evaluation indicators include one or more of the following: product quality, service capability, and maintenance response speed.

[0038] In one optional embodiment, historical performance, i.e. the total sales volume of the component model, is first considered to be obtained by crawling the latest data from the website. If it cannot be obtained, relevant data is obtained by contacting the sales personnel of the component manufacturer. The higher the historical sales volume, the higher the score corresponding to the evaluation factor, and vice versa.

[0039] In one optional embodiment, the performance of the contract, i.e. the supply of the module after winning the bid, reflects the performance of fulfilling commitments during the photovoltaic rush to install. Whether there are cases where the module cannot be delivered on time after winning the bid, mainly reflects the reliability of the module manufacturer. This can be judged by statistically analyzing the data on defaults and delayed deliveries of photovoltaic companies during the rush to install.

[0040] In one optional embodiment, the price of photovoltaic modules accounts for a high proportion of the investment in a photovoltaic project and has a significant impact on the project's financial internal rate of return. While equipment must possess good performance, price is also a crucial factor in procurement; a higher purchase price per kilowatt results in a lower score, and vice versa. The final bid price set by the purchaser is used to determine the score.

[0041] In one optional embodiment, product quality mainly depends on the actual operating performance of the power station. If the power generation of the power station is higher than the designed power generation, the product quality score is high; if the power generation of the power station is lower than the designed power generation, the product quality score is low.

[0042] In one optional embodiment, service capability refers to the ability of maintenance personnel to handle difficult problems when photovoltaic modules fail during the warranty period, and the time required to resolve the fault. Stronger ability to handle difficult problems and shorter time required result in a higher score, and vice versa.

[0043] In one optional embodiment, the maintenance response speed, i.e. the speed at which the component manufacturer's personnel arrive at the site after the operating personnel report the fault during the warranty period, should be timely and immediate. The longer the response time, the lower the score.

[0044] Step S204: Based on the values ​​of the photovoltaic module to be evaluated for each evaluation factor and the corresponding weight of each evaluation factor, determine the comprehensive score of the photovoltaic module to be evaluated. Perform weight analysis based on the evaluation factors to obtain the comprehensive score of the photovoltaic module.

[0045] When assigning weights to evaluation factors, a 0-4 scoring method is used to conduct pairwise comparative analysis of the evaluation factors. Based on the importance of the evaluation factors, the analysis is mainly divided into the following three cases: (1) A very important functional factor gets 4 points, and another very unimportant functional factor gets 0 points; (2) The more important functional factor gets 3 points, and the other less important functional factor gets 1 point; (3) Each equally important functional factor is worth 2 points.

[0046] The weight analysis of each evaluation factor in the photovoltaic module evaluation system is shown in Table 1 below.

[0047] Table 1. Weight Analysis of Evaluation Factors in the Photovoltaic Module Evaluation System

[0048] The photovoltaic module evaluation method based on production data provided in this embodiment constructs a multi-dimensional evaluation system by acquiring access evaluation factors, operational data performance evaluation factors, and operation and maintenance evaluation factors to conduct a comprehensive evaluation of photovoltaic modules. The performance evaluation indicators are obtained based on inverter production platform data and on-site radiation station data under the photovoltaic module's operating status. The evaluation focuses on the actual operating effect, reducing the blindness of existing photovoltaic module evaluation technologies that rely solely on module manufacturer manuals or laboratory test values, and increasing support for photovoltaic module operating data and fault conditions under different environments.

[0049] In some optional implementations, the performance evaluation indicators include evaluation factors such as conversion efficiency, and the production data includes radiation station data of the photovoltaic module to be evaluated and the operating data of the inverter connected to the photovoltaic module to be evaluated during operation. The steps for determining the conversion efficiency include: Step a1: Determine the annual total radiation value of the photovoltaic module to be tested based on the radiation station data. The radiation station data is obtained by testing the photovoltaic module, and the operating environment of the photovoltaic module to be tested is the same as that of the photovoltaic module to be evaluated.

[0050] The data from the on-site radiation station is obtained by testing the photovoltaic modules. Whether using a horizontal single-axis support or a fixed support, the tilt angle or rotation angle of the test photovoltaic modules in the photovoltaic power station is consistent with that of the photovoltaic modules under evaluation, and the models of the test and evaluation photovoltaic modules are completely identical. The near-field shading conditions, temperature loss, and irradiance loss of the test and evaluation photovoltaic modules in the photovoltaic power station are almost identical, and their real-time solar radiation is also almost identical. Therefore, the annual total radiation value obtained by testing the test photovoltaic modules can also characterize the annual total radiation value of the photovoltaic modules under evaluation.

[0051] Step a2: Determine the total annual power generation of the string to which the tested photovoltaic module belongs and the total module capacity of the string to which the tested photovoltaic module belongs based on the operating data.

[0052] In one optional embodiment, an inverter is connected to a set of photovoltaic (PV) strings. During the operation of the PV modules, the operating data of the PV strings is reflected in the inverter production platform. The operating data includes total annual power generation, DC-side branch current, DC-side branch voltage, DC-side input power, AC-side three-phase voltage, AC-side three-phase current, and AC-side active power. Based on the above operating data, the total annual power generation of the PV string to which the tested PV module belongs and the total module capacity of the PV string to which the tested PV module belongs can be determined. Data with erroneous transmission, such as DC-side input power being 0 or DC-side input power being less than AC-side active power, should be deleted.

[0053] Step a3: Correct the theoretical conversion efficiency of the optical module to be evaluated based on the total annual radiation value, total annual power generation, and total module capacity, and calculate the conversion efficiency.

[0054] The actual conversion efficiency of the photovoltaic module to be evaluated was calculated based on the total annual radiation value, total annual power generation, total module capacity, and the theoretical conversion efficiency provided in the module's instruction manual, thus correcting the theoretical conversion efficiency value.

[0055] In some alternative implementations, the theoretical conversion efficiency value of the optical component to be evaluated is corrected using the following formula:

[0056] in, To test the total annual power generation of the photovoltaic module string; To test the annual total radiation value of photovoltaic modules; This represents the theoretical conversion efficiency value of the photovoltaic module to be evaluated. To test the total capacity of the photovoltaic modules.

[0057] The theoretical conversion efficiency of a photovoltaic (PV) module refers to the maximum proportion of solar energy absorbed by the module that can be converted into usable electrical energy under ideal physical conditions. It represents the upper limit of the power generation efficiency of the PV module, not the efficiency in actual applications.

[0058] The total capacity of a photovoltaic module refers to the maximum total DC power that the photovoltaic module can output under standard test conditions, and the unit is watt (W) or kilowatt (kW).

[0059] The actual conversion efficiency of the photovoltaic module to be evaluated is calculated using this formula. Combined with the actual annual total power generation, annual total radiation value, and total capacity of the photovoltaic module to be evaluated during operation, the theoretical conversion efficiency is corrected to obtain an evaluation factor for the module's performance index. The performance of the photovoltaic module to be evaluated is then measured using specific values.

[0060] By determining the actual conversion efficiency value of the photovoltaic module to be evaluated by the total annual radiation value, total annual power generation, and total module capacity, a more accurate photovoltaic module conversion efficiency is obtained. This is beneficial for subsequent calculation of the conversion efficiency dispersion rate, and for evaluating photovoltaic modules based on production data during operation. It also reduces the error caused by the theoretical conversion efficiency value measured under ideal conditions, making the evaluation more scientific and comprehensive.

[0061] In some optional implementations, the performance evaluation metrics include evaluation factors such as conversion efficiency dispersion, and the step of obtaining the conversion efficiency dispersion includes: Step b1: Obtain the conversion efficiency of each photovoltaic string in the photovoltaic power station to be evaluated.

[0062] In an optional embodiment, the photovoltaic power station contains multiple photovoltaic strings, and the conversion efficiency of each photovoltaic string in the photovoltaic power station can be calculated by performing the above steps a1-a3.

[0063] Step b2: Calculate the variance of the conversion efficiency of each photovoltaic string to obtain the conversion efficiency dispersion. The conversion efficiency dispersion is as follows:

[0064] The efficiency dispersion of inverters is measured and scored using a relative value method. A lower dispersion rate results in a higher score, and vice versa. The efficiency dispersion rate represents the degree of dispersion in the conversion efficiency of each string of inverters within a photovoltaic power plant containing the evaluated photovoltaic modules.

[0065] Since all photovoltaic (PV) modules used in a PV power plant are of the same model, a low dispersion rate in the conversion efficiency of these modules indicates a small difference in conversion efficiency among the corresponding modules in each string of inverters within the PV power plant. This small difference, in turn, proves the high stability of this type of PV module. Conversely, a high dispersion rate in the conversion efficiency of PV modules indicates the presence of unstable factors during operation, requiring investigation of equipment problems.

[0066] In some optional implementations, the performance evaluation indicators include evaluation factors such as fault and maintenance time, and the production data includes fault operation data of the inverter connected to the photovoltaic module to be evaluated during operation. The fault operation data contains multiple fault events, and the steps to determine the fault and maintenance time include: Step c1: Identify the faulty device corresponding to each fault event in the fault operation data.

[0067] In one optional embodiment, the data corresponding to the photovoltaic strings and the various devices connected to the inverter are reflected on the inverter production platform. Therefore, the fault operation data packets recorded by the inverter production platform during inverter operation contain faults generated by different types of equipment such as photovoltaic modules, inverters, power grids, and data acquisition rods. Fault events include inverter MPPT faults, inverter alarms caused by inverter grounding faults, inverter alarms caused by overheating of retained modules, and module open-circuit faults.

[0068] Step c2: Based on the fault operation data, determine the fault frequency and fault repair time of the photovoltaic module to be evaluated as a faulty device.

[0069] For fault operation data in the inverter production platform, since the main evaluation is of photovoltaic module performance, it is necessary to screen out the photovoltaic modules to be evaluated as fault events of faulty equipment, and further determine the fault frequency and fault repair time of the photovoltaic modules to be evaluated.

[0070] The frequency of component fault alarms and the repair time reflected by the inverter production platform are calculated and evaluated. A high alarm frequency and long repair time result in a low score, while a low alarm frequency and short repair time result in a high score.

[0071] By eliminating fault alarms caused by non-PV module failures, the fault data and repair time of the PV modules under evaluation are obtained. This data serves as an evaluation factor for module performance, measuring the failure frequency and repair speed. By relating this to the actual production status of PV modules during operation, the modules can be evaluated more effectively.

[0072] In some alternative implementations, prior to the step of determining the annual total radiation value of the tested photovoltaic modules based on radiation station data, the method further includes: Step d1: Determine the first time period during which all photovoltaic modules connected to the inverter fail, based on the operating data.

[0073] In one optional embodiment, the first time period during which the photovoltaic module fails includes the period during which the DC power is 0, and all periods during which the operation is hindered due to the failure of the photovoltaic module itself.

[0074] Step d2: Determine the DC-side power and AC-side power at different times based on the operating data, and determine the second time period in which the DC-side power is less than the AC-side power.

[0075] In one optional embodiment, the DC-side power being less than the AC-side power is considered a data transmission error. If this error is not eliminated, it will lead to a large error in the total radiation value. Therefore, the time period when the DC-side power is less than the AC-side power is classified as the second time period.

[0076] Step d3: Determine the third time period in which the inverter malfunctioned based on the operating data.

[0077] In an alternative embodiment, the third time period of inverter failure includes the period during which DC-side power cannot be displayed due to the inverter failure.

[0078] Step d4: Remove radiation value data from the first, second, and third time periods in the radiation station data.

[0079] After removing the radiation data from the three time periods mentioned above, the total annual radiation value of the photovoltaic modules to be evaluated is further determined.

[0080] By eliminating radiation station data to determine the annual total radiation value of the tested photovoltaic modules from three time periods, only the annual total radiation value measured during the correct time period of the tested photovoltaic modules is retained. This avoids the measurement error of the annual total radiation value caused by radiation station data in the wrong time period. Since the annual total radiation value is required for subsequent calculation of the actual conversion efficiency of the photovoltaic modules to be evaluated, reducing the measurement error of the annual total radiation value effectively improves the accuracy of the calculated conversion efficiency.

[0081] This embodiment also provides a photovoltaic module evaluation device based on production data. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0082] This embodiment provides a photovoltaic module evaluation device based on production data, such as... Figure 3 As shown, it includes: Data acquisition module 301 is used to acquire production data during the operation of the photovoltaic module to be evaluated; The first evaluation index acquisition module 302 is used to determine the performance evaluation index of the photovoltaic module to be evaluated based on production data. The performance evaluation index includes one or more evaluation factors. The second evaluation index acquisition module 303 is used to acquire the access evaluation index and operation and maintenance evaluation index of the photovoltaic module to be evaluated. Both the access evaluation index and the operation and maintenance evaluation index contain one or more evaluation factors. The comprehensive scoring module 304 is used to determine the comprehensive score of the photovoltaic module to be evaluated based on the values ​​of each evaluation factor and the weight of each evaluation factor.

[0083] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0084] The following is a detailed reference. Figure 4 This diagram illustrates a structural schematic suitable for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 401, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 402 or a program loaded from memory 408 into random access memory (RAM) 403. The RAM 403 also stores various programs and data required for the operation of the electronic device. The processor 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0085] Typically, the following devices can be connected to I / O interface 405: input devices 406 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 407 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 408 including, for example, magnetic tapes, hard disks, etc.; and communication devices 409. Communication device 409 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 4 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0086] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 409, or installed from a memory 408, or installed from a ROM 402. When the computer program is executed by the processor 401, it performs the functions defined in the photovoltaic module evaluation method based on production data according to embodiments of the present invention.

[0087] Figure 4 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0088] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and subsequently stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the photovoltaic module evaluation method based on production data shown in the above embodiments is implemented.

[0089] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0090] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A photovoltaic module evaluation method based on production data, characterized in that, The method includes: Obtain production data during the operation of the photovoltaic modules to be evaluated; Based on the production data, performance evaluation indicators for the photovoltaic modules to be evaluated are determined, and the performance evaluation indicators include one or more evaluation factors. Obtain the access evaluation indicators and operation and maintenance evaluation indicators of the photovoltaic modules to be evaluated. Both the access evaluation indicators and the operation and maintenance evaluation indicators contain one or more evaluation factors. The comprehensive score of the photovoltaic module to be evaluated is determined based on the values ​​of each evaluation factor and the weight of each evaluation factor.

2. The method according to claim 1, characterized in that, The performance evaluation indicators include conversion efficiency as an evaluation factor. The production data includes radiation station data of the photovoltaic module to be evaluated and the operating data of the inverter connected to the photovoltaic module to be evaluated during operation. The steps for determining the conversion efficiency include: The annual total radiation value of the tested photovoltaic module is determined based on the radiation station data, which is obtained by testing the tested photovoltaic module. The operating environment of the tested photovoltaic module is the same as that of the photovoltaic module to be evaluated. The total annual power generation of the string to which the tested photovoltaic module belongs and the total module capacity of the string to which the tested photovoltaic module belongs are determined based on the operating data. The theoretical conversion efficiency of the optical module to be evaluated is corrected based on the total annual radiation value, total annual power generation, and total module capacity, and the conversion efficiency is calculated.

3. The method according to claim 2, characterized in that, The performance evaluation metrics include evaluation factors such as conversion efficiency dispersion rate. The steps for obtaining the conversion efficiency dispersion rate include: Obtain the conversion efficiency of each photovoltaic string within the photovoltaic power station to which the photovoltaic module to be evaluated belongs; The variance of the conversion efficiency of each photovoltaic string is calculated to obtain the conversion efficiency dispersion rate.

4. The method according to claim 1, characterized in that, The performance evaluation indicators include evaluation factors such as fault alarm frequency and maintenance time. The production data includes fault operation data of the inverter connected to the photovoltaic module under evaluation during operation. The fault operation data contains multiple fault events. The steps for determining the fault alarm frequency and maintenance time include: Identify the faulty device corresponding to each fault event in the fault operation data; Based on the fault operation data, the fault frequency and fault repair time of the photovoltaic module to be evaluated as a faulty device are determined.

5. The method according to claim 2, characterized in that, Before the step of determining the annual total radiation value of the tested photovoltaic module based on the radiation station data, the method further includes: The first time period during which all photovoltaic modules connected to the inverter malfunction is determined based on the operating data. Based on the operating data, determine the DC-side power and AC-side power at different times, and determine a second time period in which the DC-side power is less than the AC-side power; The third time period during which the inverter malfunctioned was determined based on the operating data; Radiation values ​​from the first, second, and third time periods in the radiation station data were removed.

6. The method according to claim 2, characterized in that, The theoretical conversion efficiency value of the optical component to be evaluated is corrected using the following formula: in, The total annual power generation of the string to which the tested photovoltaic module belongs; The total annual radiation value of the tested photovoltaic module; The theoretical conversion efficiency value of the photovoltaic module to be evaluated; The total capacity of the tested photovoltaic modules.

7. A photovoltaic module evaluation device based on production data, characterized in that, The device includes: The data acquisition module is used to acquire production data during the operation of the photovoltaic modules to be evaluated. The first evaluation index acquisition module is used to determine the performance evaluation index of the photovoltaic module to be evaluated based on the production data, wherein the performance evaluation index includes one or more evaluation factors. The second evaluation index acquisition module is used to acquire the access evaluation index and operation and maintenance evaluation index of the photovoltaic module to be evaluated. Both the access evaluation index and the operation and maintenance evaluation index contain one or more evaluation factors. The comprehensive scoring module is used to determine the comprehensive score of the photovoltaic module to be evaluated based on the values ​​of each evaluation factor and the weight of each evaluation factor.

8. An electronic device, characterized in that, include: A memory and a processor are interconnected, the memory storing computer instructions, and the processor executing the computer instructions to perform the photovoltaic module evaluation method based on production data as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the photovoltaic module evaluation method based on production data as described in any one of claims 1 to 7.

10. A computer program product, characterized in that, It includes computer instructions for causing a computer to execute the photovoltaic module evaluation method based on production data as described in any one of claims 1 to 7.

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