Photovoltaic power station cleaning demand assessment method and system based on cleaning coefficient

Abstract

The present invention proposes a method and system for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient, and belongs to the technical field of photovoltaic power stations. The method includes: obtaining daily power generation data and operating parameter information of a photovoltaic power station; obtaining daily cumulative irradiance information of a photovoltaic power station according to a photovoltaic meteorological instrument; setting a cleaning coefficient threshold, and calculating the cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station, and the daily cumulative irradiance information; and evaluating whether the photovoltaic power station needs to be cleaned according to the relationship between the cleaning coefficient and the cleaning coefficient threshold. By creating a cleaning coefficient, the cleaning nodes of the photovoltaic power station can be grasped in time, the number of cleanings can be saved, and the power generation efficiency of the power station can be improved. This satisfies the "special station special cleaning" mode, which can save the number of cleanings and costs for power stations with less dust accumulation, and can meet the purpose of timely cleaning and increasing power generation revenue for power stations with more dust accumulation.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power stations, and in particular relates to a cleaning coefficient-based cleaning demand assessment method and system for photovoltaic power stations. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] The dust accumulation problem of photovoltaic power stations is an important factor affecting the power generation efficiency of photovoltaic power stations. The dust accumulation of photovoltaic power stations will cause serious local shading of photovoltaic cells, resulting in the increase of the temperature of photovoltaic modules, which will not only reduce the service life of photovoltaic modules, but also further affect the photoelectric conversion efficiency of photovoltaic power stations. The loss of power generation of photovoltaic power stations due to dust accumulation can reach 5%-15%.

[0004] Although regular cleaning of photovoltaic power stations can effectively solve the dust accumulation problem of photovoltaic power stations, in the current cleaning process of photovoltaic power stations, photovoltaic components are often cleaned according to a certain time period. In the above cleaning process, the following problems are prone to occur: due to the different regions and environmental factors where photovoltaic power stations are located, the degree of dust accumulation of components in each power station is different, so regular cleaning causes a certain amount of loss in the overall power generation efficiency of each power station. For example: during regular cleaning, power station A has less dust accumulation, resulting in a waste of cleaning costs; power station B has serious dust accumulation, and due to the delay in regular cleaning, power station B loses power generation efficiency. Summary of the invention

[0005] In order to overcome the deficiencies of the above-mentioned prior art and solve the problems of waste of cleaning costs caused by less dust accumulation in photovoltaic power stations during regular cleaning and loss of power generation efficiency caused by serious dust accumulation and untimely cleaning, the present invention provides a cleaning demand assessment method and system for photovoltaic power stations based on a cleaning coefficient.

[0006] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0007] A first aspect of the present invention provides a method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient;

[0008] A cleaning demand assessment method for a photovoltaic power station based on a cleaning coefficient includes:

[0009] Obtain daily power generation data and operating parameter information of photovoltaic power stations;

[0010] Obtain the daily cumulative irradiance information of the photovoltaic power station based on the photovoltaic meteorological instrument;

[0011] Setting a cleaning coefficient threshold, and calculating a cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station, and the daily accumulated irradiance information;

[0012] Whether the photovoltaic power station needs cleaning is evaluated according to the relationship between the cleaning coefficient and the cleaning coefficient threshold.

[0013] As a further technical solution, the power monitoring platform is used to obtain the daily power generation data of the photovoltaic power station.

[0014] As a further technical solution, the photovoltaic power station operation parameter information includes photovoltaic module data, inverter data, power generation efficiency and installed capacity.

[0015] As a further technical solution, the daily cumulative irradiance information is shown in the following formula:

[0016] G = ∑(E·T·A·η);

[0017] Where G is the daily cumulative irradiance; E is the hourly solar radiation energy; T is the hourly solar radiation time; A is the effective receiving area of ​​the photovoltaic module, and η is the power generation efficiency of the photovoltaic module.

[0018] As a further technical solution, the cleaning coefficient is the ratio of daily power generation to the product of installed capacity and daily cumulative irradiance, and the formula is as follows:

[0019] Cleaning coefficient

[0020] As a further technical solution, the process of evaluating whether the photovoltaic power station needs to be cleaned according to the relationship between the cleaning coefficient and the cleaning coefficient threshold is: comparing the obtained cleaning coefficient of the photovoltaic power station with the cleaning coefficient threshold; if the cleaning coefficient exceeds the threshold, the cleaning operation of the photovoltaic power station is carried out; if it does not exceed the threshold, the cleaning operation of the photovoltaic power station is temporarily suspended.

[0021] A second aspect of the present invention provides a photovoltaic power station cleaning demand assessment system based on a cleaning coefficient.

[0022] A photovoltaic power station cleaning demand assessment system based on cleaning coefficient, comprising:

[0023] The data acquisition module is configured to: acquire the daily power generation data and the operating parameter information of the photovoltaic power station, and acquire the daily cumulative irradiance information of the photovoltaic power station according to the photovoltaic meteorological instrument;

[0024] A cleaning coefficient acquisition module is configured to: set a cleaning coefficient threshold, and calculate the cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station and the daily accumulated irradiance information;

[0025] The cleaning demand assessment module is configured to assess whether the photovoltaic power station needs cleaning according to the relationship between the cleaning coefficient and the cleaning coefficient threshold.

[0026] As a further technical solution, in the cleaning demand assessment module, the process of evaluating whether the photovoltaic power station needs cleaning based on the relationship between the cleaning coefficient and the cleaning coefficient threshold is as follows: the cleaning coefficient of the photovoltaic power station obtained is compared with the cleaning coefficient threshold; if the cleaning coefficient exceeds the threshold, the cleaning operation of the photovoltaic power station is carried out; if it does not exceed the threshold, the cleaning operation of the photovoltaic power station is temporarily suspended.

[0027] A third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in a method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as described in the first aspect of the present invention.

[0028] The fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in a method for evaluating the cleaning needs of a photovoltaic power station based on a cleaning coefficient as described in the first aspect of the present invention are implemented.

[0029] One or more of the above technical solutions have the following beneficial effects:

[0030] The present invention statistically analyzes the historical power generation of existing power stations, combines the operating parameters of photovoltaic power stations from suppliers such as photovoltaic modules and inverters, creates a cleaning coefficient and uses it as an evaluation criterion for whether the photovoltaic power station should be cleaned. The cleaning coefficient can timely grasp the cleaning nodes of the photovoltaic power station, save the number of cleaning times and improve the power generation efficiency of the power station. Analyzing whether the cleaning conditions are met by daily power generation statistical data can not only reduce the deviation of staff when confirming the dust accumulation situation, but also effectively reduce the number of inspections by staff between multiple photovoltaic power stations, use data analysis to clean nodes, save labor time, and improve efficiency. In this way, the "special station special cleaning" method is met, which can save the number of cleaning times and costs for power stations with less dust accumulation, and meet the purpose of timely cleaning and increasing power generation revenue for power stations with more dust accumulation.

[0031] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0033] Figure 1This is a flow chart of the method of the first embodiment.

[0034] Figure 2 It is a system structure diagram of the second embodiment. DETAILED DESCRIPTION

[0035] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0036] It should be noted that the terms used herein are for describing specific embodiments only and are not intended to be limiting of exemplary embodiments according to the present invention.

[0037] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0038] The overall idea proposed by the present invention is that after the photovoltaic power station is built, operation and maintenance inspection and repair work is one of the important measures to ensure the normal operation of the power station and improve power generation efficiency and revenue. As for the dust accumulation problem of photovoltaic components, due to the different regions and environmental factors where the photovoltaic power stations are located, the degree of dust accumulation of components in each power station is different. Therefore, the use of regular cleaning will cause a certain amount of loss in the overall power generation efficiency of each power station. Based on the above problems, the present application provides a cleaning demand assessment method and system for photovoltaic power stations based on a cleaning coefficient, which is described in detail below in conjunction with specific embodiments.

[0039] Embodiment 1

[0040] This embodiment discloses a cleaning demand assessment method for a photovoltaic power station based on a cleaning coefficient.

[0041] like Figure 1 As shown, a cleaning demand assessment method for a photovoltaic power station based on a cleaning coefficient includes:

[0042] Step S1, obtaining daily power generation data of the photovoltaic power station and operating parameter information of the photovoltaic power station;

[0043] Step S2, obtaining the daily cumulative irradiance information of the photovoltaic power station according to the photovoltaic meteorological instrument;

[0044] Step S3, setting a cleaning coefficient threshold, and calculating the cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station and the daily accumulated irradiance information;

[0045] Step S4, evaluating whether the photovoltaic power station needs cleaning according to the relationship between the cleaning coefficient and the cleaning coefficient threshold.

[0046] Among them, in step S1, the daily power generation data of the photovoltaic power station is obtained by using the power monitoring platform, which can timely and effectively analyze the power generation of the photovoltaic power station, and reasonably arrange and organize the cleaning of the photovoltaic power station according to the power generation and daily exposure radiation.

[0047] Furthermore, the operation parameter information of the photovoltaic power station is obtained, wherein the operation parameter information includes photovoltaic module data, inverter data, power generation efficiency and installed capacity data. Among them, photovoltaic module data generally refers to module model, open circuit voltage, short circuit current, module efficiency, etc.; inverter data refers to inverter output power, conversion efficiency, number of DC voltage input channels, etc.; installed capacity refers to the rated active power of the generator set of the photovoltaic power station.

[0048] In step S2, the daily cumulative irradiance information of the photovoltaic power station is obtained according to the photovoltaic meteorological instrument. The daily cumulative irradiance information is the value of the solar radiation energy obtained by the photovoltaic power station in one day, and is an important parameter for evaluating the performance of photovoltaic modules.

[0049] The daily cumulative irradiance information is shown in the following formula:

[0050] G = ∑(E·T·A·η);

[0051] Where G is the daily cumulative irradiance; E is the hourly solar radiation energy; T is the hourly solar radiation time; A is the effective receiving area of ​​the photovoltaic module, and η is the power generation efficiency of the photovoltaic module.

[0052] In step S3 and step S4, the cleaning coefficient of the photovoltaic power station is calculated according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station and the daily cumulative irradiance; the cleaning coefficient of the power station is used to confirm whether the cleaning conditions are met, and the cleaning work of the power station is organized in a timely manner. The cleaning coefficient can meet the "special station special cleaning" mode, which can save the cleaning times and costs for power stations with less dust accumulation, and meet the purpose of timely cleaning and improving power generation benefits for power stations with more dust accumulation.

[0053] Among them, the cleaning coefficient is the ratio of daily power generation to the product of installed capacity and daily cumulative irradiance, and the formula is as follows:

[0054] Cleaning coefficient

[0055] In the process of judging whether the photovoltaic power station meets the cleaning conditions according to the cleaning coefficient, the cleaning coefficient of the photovoltaic power station is obtained by setting a cleaning coefficient threshold, and the cleaning coefficient is compared with the cleaning coefficient threshold. If the cleaning coefficient exceeds the threshold, the cleaning operation of the photovoltaic power station is carried out; if it does not exceed the threshold, the cleaning operation of the photovoltaic power station is suspended.

[0056] The cleaning demand assessment method of this application is verified below in combination with the data tables before and after the cleaning of a specific photovoltaic substation.

[0057] First, it is necessary to determine the cleaning coefficient threshold, and set different cleaning coefficient thresholds according to the different environments and geographical locations of different power stations. The cleaning coefficient threshold can be set according to the size of the power generation efficiency.

[0058] During the verification process, the power generation of five photovoltaic power stations A, B, C, D and E before cleaning on March 16 and after cleaning on March 25 were selected for analysis. According to historical power generation data, the daily power generation efficiency of the power station should be maintained at 0.18 or above as the normal power generation standard, so 0.18 is set as the cleaning coefficient threshold. Combining Table 1 and Table 2, by setting the cleaning coefficient threshold based on power generation efficiency, the photovoltaic switch can be cleaned in time, saving the number of cleaning times and costs for power stations with less dust accumulation, and meeting the purpose of timely cleaning and increasing power generation benefits for power stations with more dust accumulation.

[0059] By setting the cleaning coefficient, the cleaning frequency of the photovoltaic power station in a better environment can be reduced, saving cleaning costs. For example, A can save 3 cleaning times per year, and (when there is no water channel) can save more than 8,400 yuan.

[0060] The cleaning frequency of power stations with poor environments can be adjusted through the cleaning coefficient to improve the continuous power generation efficiency of the power stations. For example, B, C, and D are in a dusty environment. Through the cleaning demand assessment, the cleaning frequency needs to be increased once, which costs about 3,000 yuan, thereby improving the power generation efficiency, ensuring the completion of the annual power generation target while increasing the power generation efficiency by 0.01, and the benefits are about 20,000 kWh, about 20,000 yuan.

[0061] By creating a cleaning coefficient and using it as an evaluation criterion for whether a photovoltaic power station should be cleaned, the "special station for special cleaning" method is met. For power stations with less dust accumulation, the number of cleaning times and costs can be saved, and for power stations with more dust accumulation, timely cleaning can be achieved to increase power generation revenue.

[0062] Table 1 Daily power generation of different photovoltaic power stations on March 16

[0063]

[0064] Table 2 Daily power generation of different photovoltaic power stations on March 25

[0065]

[0066] Embodiment 2

[0067] This embodiment discloses a photovoltaic power station cleaning demand assessment system based on cleaning coefficient;

[0068] like Figure 2 As shown, a photovoltaic power station cleaning demand assessment system based on a cleaning coefficient includes:

[0069] The data acquisition module is configured to: acquire the daily power generation data and the operating parameter information of the photovoltaic power station, and acquire the daily cumulative irradiance information of the photovoltaic power station according to the photovoltaic meteorological instrument;

[0070] A cleaning coefficient acquisition module is configured to: set a cleaning coefficient threshold, and calculate the cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station and the daily accumulated irradiance information;

[0071] The cleaning demand assessment module is configured to assess whether the photovoltaic power station needs cleaning according to the relationship between the cleaning coefficient and the cleaning coefficient threshold.

[0072] Embodiment 3

[0073] The purpose of this embodiment is to provide a computer-readable storage medium.

[0074] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in a method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as described in Example 1 of the present disclosure.

[0075] Embodiment 4

[0076] The purpose of this embodiment is to provide an electronic device.

[0077] An electronic device comprises a memory, a processor and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in a method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as described in Example 1 of the present disclosure are implemented.

[0078] The steps involved in the apparatuses of the above embodiments 2, 3 and 4 correspond to the method embodiment 1, and the specific implementation methods can refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0079] Those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0080] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient, characterized in that: include: Obtain daily power generation data and operating parameter information of photovoltaic power stations; Obtain the daily cumulative irradiance information of the photovoltaic power station based on the photovoltaic meteorological instrument; Setting a cleaning coefficient threshold, and calculating a cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station, and the daily accumulated irradiance information; Whether the photovoltaic power station needs cleaning is evaluated according to the relationship between the cleaning coefficient and the cleaning coefficient threshold.

2. A method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as claimed in claim 1, characterized in that: Use the power monitoring platform to obtain the daily power generation data of the photovoltaic power station.

3. A method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as claimed in claim 1, characterized in that: The photovoltaic power station operation parameter information includes photovoltaic module data, inverter data, power generation efficiency and installed capacity.

4. A method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as claimed in claim 1, characterized in that: The daily cumulative irradiance information is shown in the following formula: G = ∑(E·T·A·η); Where G is the daily cumulative irradiance; E is the hourly solar radiation energy; T is the hourly solar radiation time; A is the effective receiving area of ​​the photovoltaic module, and η is the power generation efficiency of the photovoltaic module.

5. A method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as claimed in claim 1, characterized in that: The cleaning coefficient is the ratio of daily power generation to the product of installed capacity and daily cumulative irradiance, and the formula is as follows:

6. A method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as claimed in claim 1, characterized in that: The process of evaluating whether the photovoltaic power station needs to be cleaned according to the relationship between the cleaning coefficient and the cleaning coefficient threshold is as follows: comparing the cleaning coefficient of the photovoltaic power station obtained with the cleaning coefficient threshold, and if the cleaning coefficient exceeds the threshold, performing cleaning operations on the photovoltaic power station; If the threshold is not exceeded, the cleaning operation of the photovoltaic power station will be suspended.

7. A photovoltaic power station cleaning demand assessment system based on cleaning coefficient, characterized in that: include: The data acquisition module is configured to: acquire the daily power generation data and the operating parameter information of the photovoltaic power station, and acquire the daily cumulative irradiance information of the photovoltaic power station according to the photovoltaic meteorological instrument; A cleaning coefficient acquisition module is configured to: set a cleaning coefficient threshold, and calculate the cleaning coefficient of the photovoltaic power station according to the daily power generation data of the photovoltaic power station, the operating parameter information of the photovoltaic power station and the daily accumulated irradiance information; The cleaning demand assessment module is configured to assess whether the photovoltaic power station needs cleaning according to the relationship between the cleaning coefficient and the cleaning coefficient threshold.

8. A photovoltaic power station cleaning demand assessment system based on cleaning coefficient as claimed in claim 7, characterized in that: In the cleaning demand assessment module, the process of assessing whether the photovoltaic power station needs cleaning according to the relationship between the cleaning coefficient and the cleaning coefficient threshold is as follows: comparing the obtained cleaning coefficient of the photovoltaic power station with the cleaning coefficient threshold, and if the cleaning coefficient exceeds the threshold, performing cleaning operations on the photovoltaic power station; If the threshold is not exceeded, the cleaning operation of the photovoltaic power station will be suspended.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the steps in the method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as described in any one of claims 1 to 6 are implemented.

10. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the method for evaluating the cleaning demand of a photovoltaic power station based on a cleaning coefficient as described in any one of claims 1 to 6 are implemented.

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