CN114707841A - Photovoltaic health degree evaluation system and method based on centralized monitoring - Google Patents
Photovoltaic health degree evaluation system and method based on centralized monitoring Download PDFInfo
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Abstract
The invention discloses a photovoltaic health degree assessment method and system based on centralized monitoring, and belongs to the technical field of photovoltaic power generation. Firstly, collecting operation data of all photovoltaic modules in a photovoltaic power station, and judging according to a preset fault threshold value; then, calculating the fault rate according to the data judged to be the fault; calculating the percentage of electric quantity loss according to the data judged to be non-fault; and finally, taking the failure rate and the actual working efficiency obtained by calculation as health degree assessment factors, determining the weight coefficient of each factor according to the actual operation condition of the photovoltaic power station, and calculating to obtain the health degree of the photovoltaic power station. The method fully considers the influence of the unhealthy and sub-healthy states of the power plant on the health degree, so that the daily operation and maintenance become targeted, the automation degree is high, the labor cost is reduced, the safety and the stability of the photovoltaic power station are improved, and the power generation and operation conditions of the photovoltaic power station can be accurately and efficiently managed.
Description
Technical Field
The invention belongs to the technical field of photovoltaic power generation, and particularly relates to a photovoltaic health degree evaluation system and method based on centralized monitoring.
Background
With the rapid development of photovoltaic power generation, the installed capacity of a photovoltaic station is continuously increased, so that a plurality of new problems to be solved urgently are generated, and meanwhile, higher requirements are also provided for the aspects of intellectualization, safety, reliability and the like of the photovoltaic station. Photovoltaic module in the use, must produce wearing and tearing, deformation and damage of different degree, along with the increase of live time, its technical indicator can descend gradually, and then makes its performance decline. The photovoltaic power station can be accumulated in a large amount in a long term, and the overall efficiency of the photovoltaic power station can be greatly influenced. Meanwhile, the conventional power station operation and maintenance only focuses on damaged equipment and components, and is not suitable for the management target at the present stage.
Disclosure of Invention
In order to solve the above problems, the present invention provides a photovoltaic health assessment system and method based on centralized monitoring, which fully considers the influence of the non-health and sub-health states of the power plant on the health degree, and can accurately and efficiently manage the power generation and operation conditions of the photovoltaic power plant.
The invention is realized by the following technical scheme:
the invention discloses a photovoltaic health degree assessment method based on centralized monitoring, which comprises the following steps:
s1: collecting operation data of all photovoltaic modules in a photovoltaic power station, and judging according to a preset fault threshold;
s2: calculating the fault rate according to the data judged to be the fault; calculating the percentage of electric quantity loss according to the data judged to be non-fault;
s3: and taking the calculated fault rate and the actual working efficiency as health degree assessment factors, determining the weight coefficient of each factor according to the actual operation condition of the photovoltaic power station, and calculating to obtain the health degree of the photovoltaic power station.
Preferably, in S2, the percentage of power loss is determined according to the actual operating efficiency of the photovoltaic module and the theoretically available value.
Preferably, in S3, the health degree Z of the photovoltaic power plant is obtained according to the following formula:
Z＝1-αx-βy
wherein x is the percentage of failure rate, y is the percentage of power loss, and alpha and beta are weight coefficients.
Further preferably, α and β are determined according to the weather and the environmental climate of the photovoltaic power plant, the performance parameters of the photovoltaic modules and the service life of the photovoltaic modules.
The invention discloses a system for realizing the photovoltaic health degree assessment method based on centralized monitoring, which comprises a station data acquisition server, a centralized control side database and a data processing and analyzing system; the field station data acquisition server is connected with the centralized control side database, the centralized control side database is connected with the data processing and analyzing system, and the centralized control side database and the data processing and analyzing system are arranged in a control center of the photovoltaic power station; the field station data acquisition server is used for acquiring the operation data of the photovoltaic power station, the centralized control side database is used for storing and preprocessing the acquired operation data, and the data processing and analyzing system is used for judging the acquired operation data and calculating the health degree of the photovoltaic power station.
Preferably, the data acquisition server is connected with a telemechanical system of the photovoltaic power station through a special power line, and the telemechanical system of the photovoltaic power station acquires equipment data of each photovoltaic module.
Preferably, the centralized control side database is an openPlant real-time database.
Preferably, the centralized control side database is connected with the data processing and analyzing system through a one-way network gate.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention discloses a photovoltaic health degree assessment method based on centralized monitoring, which comprises the steps of firstly collecting operation data of all photovoltaic modules in a photovoltaic power station, and judging according to a preset fault threshold value; then, calculating the fault rate according to the data judged to be the fault; calculating the percentage of electric quantity loss according to the data judged to be non-fault; and finally, taking the failure rate and the actual working efficiency obtained by calculation as health degree assessment factors, determining the weight coefficient of each factor according to the actual operation condition of the photovoltaic power station, and calculating to obtain the health degree of the photovoltaic power station. The invention fully considers the influence of the unhealthy and sub-healthy states of the power plant on the health degree, leads the daily operation and maintenance to be purposeful, has high automation degree, reduces the labor cost, improves the safety and the stability of the photovoltaic power station, and can carry out accurate and efficient management on the power generation and the operation condition of the photovoltaic power station.
Furthermore, weight coefficients are set according to the weather and the environmental climate of the photovoltaic power station, the performance parameters of the photovoltaic modules and the service life of the photovoltaic modules during calculation, so that the calculation result is more accurate.
The system for realizing the photovoltaic health degree assessment method based on centralized monitoring is simple in construction and high in automation degree.
Furthermore, the centralized control side database adopts an openPlant real-time database, and has complete functions, convenient operation and good compatibility.
Furthermore, the centralized control side database is connected with the data processing and analyzing system through the unidirectional network gate, so that the network security is ensured.
Drawings
FIG. 1 is a schematic diagram of the system operation of the present invention.
Detailed Description
The invention is described in further detail below with reference to the following figures and examples:
referring to fig. 1, the photovoltaic health assessment method based on centralized monitoring of the present invention includes:
s1: collecting operation data of all photovoltaic modules in a photovoltaic power station, and judging according to a preset fault threshold;
s2: calculating the fault rate according to the data judged to be the fault; calculating the percentage of electric quantity loss according to the data judged to be non-fault; the electric quantity loss percentage is obtained according to the actual working efficiency and the theoretical available value of the photovoltaic module;
s3: and taking the calculated fault rate and the actual working efficiency as health degree assessment factors, determining the weight coefficient of each factor according to the actual operation condition of the photovoltaic power station, and calculating to obtain the health degree of the photovoltaic power station.
The health Z of the photovoltaic power station is found according to the following formula:
Z＝1-αx-βy
wherein x is the percentage of failure rate, y is the percentage of power loss, and alpha and beta are weight coefficients.
In actual work, alpha and beta are determined according to the weather and the environmental climate of the photovoltaic power station, the performance parameters of the photovoltaic components and the service life of the photovoltaic components. Because the geographical position of each photovoltaic power station is different, its weather and environmental climate have the difference, for example some place dust is great, leads to the dust to cover a little more, influences the generating efficiency, can suitably reduce the weight to equipment efficiency under this kind of condition, considers the fault rate of equipment more. Manufacturers of different equipment elements design ideas and manufacturing processes, so that the cost is different, the elements with higher price are maintained preferentially, and the equipment efficiency is considered more; the lower price is more heavily focused on replacement, and the failure rate is more considered. Due to the fact that the photovoltaic power stations are different in production years, the working efficiency processing method of the equipment is different. When newly put into production, the working efficiency of the equipment can be more concerned, and the equipment can be replaced in time within the guarantee period; beyond warranty, the failure rate of the equipment may be more significant in view of replacement costs.
The system for realizing the photovoltaic health degree assessment method based on centralized monitoring comprises a station data acquisition server, a centralized control side database and a data processing and analyzing system; the field station data acquisition server is connected with the centralized control side database, the centralized control side database is connected with the data processing and analyzing system, and the centralized control side database and the data processing and analyzing system are arranged in a control center of the photovoltaic power station; the field station data acquisition server is used for acquiring the operation data of the photovoltaic power station, the centralized control side database is used for storing and preprocessing the acquired operation data, and the data processing and analyzing system is used for judging the acquired operation data and calculating the health degree of the photovoltaic power station.
The data acquisition server is connected with the telemechanical system of the photovoltaic power station through a special electric power line, and the telemechanical system of the photovoltaic power station acquires the equipment data of each photovoltaic module.
In a preferred embodiment of the invention, the centralized control side database adopts an openPlant real-time database.
In a preferred embodiment of the present invention, the centralized control side database is connected to the data processing and analyzing system through a unidirectional gatekeeper.
The invention is further illustrated below in a specific embodiment:
the data of station manufacturer equipment of a certain photovoltaic power station is transmitted back to a large production area (a first area) of a centralized control center through a special electric power line by a distant motivation (equivalent to a safe encrypted forwarding device) of the station, and then is mirrored to an openplant real-time database of the large information area through a one-way network gate between the large production area (the first area) and the large information area (the third area), and the data can only come out from the large one-way production area so as to ensure the absolute network safety of the large production area. The intelligent operation and maintenance software carried in the data processing and analysis system judges according to a preset fault threshold value and calculates the fault rate according to the data judged to be fault; calculating the percentage of power loss according to the data which is judged to be non-fault; the electric quantity loss percentage is obtained according to the actual working efficiency and the theoretical available value of the photovoltaic module; and taking the failure rate and the actual working efficiency obtained by calculation as factors for health assessment, determining the weight coefficient of each factor according to the actual operation condition of the photovoltaic power station, and calculating to obtain the health of the photovoltaic power station.
It should be noted that the embodiment described in the example is only a preferred embodiment of the present invention, and it will be apparent to those skilled in the art that several modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should be construed as the protection scope of the present invention.
Claims (8)
1. A photovoltaic health assessment method based on centralized monitoring is characterized by comprising the following steps:
s1: collecting operation data of all photovoltaic modules in a photovoltaic power station, and judging according to a preset fault threshold;
s2: calculating the failure rate according to the data judged to be the failure; calculating the percentage of electric quantity loss according to the data judged to be non-fault;
s3: and taking the calculated fault rate and the actual working efficiency as health degree assessment factors, determining the weight coefficient of each factor according to the actual operation condition of the photovoltaic power station, and calculating to obtain the health degree of the photovoltaic power station.
2. The photovoltaic health assessment method based on centralized monitoring as claimed in claim 1, wherein in S2, the percentage of power loss is calculated according to the actual working efficiency and the theoretical available value of the photovoltaic module.
3. The photovoltaic health assessment method based on centralized monitoring according to claim 1, wherein in S3, the health Z of the photovoltaic power plant is obtained according to the following formula:
Z＝1-αx-βy
wherein x is the percentage of failure rate, y is the percentage of power loss, and alpha and beta are weight coefficients.
4. The photovoltaic health assessment method based on centralized monitoring according to claim 3, wherein α and β are determined according to the weather and environmental climate of the photovoltaic power plant, the performance parameters of the photovoltaic modules and the service life of the photovoltaic modules.
5. A system for realizing the photovoltaic health assessment method based on centralized monitoring as claimed in any one of the above claims 1 to 4, is characterized by comprising a station data acquisition server, a centralized control side database and a data processing and analyzing system; the field station data acquisition server is connected with the centralized control side database, the centralized control side database is connected with the data processing and analyzing system, and the centralized control side database and the data processing and analyzing system are arranged in a control center of the photovoltaic power station; the field station data acquisition server is used for acquiring the operation data of the photovoltaic power station, the centralized control side database is used for storing and preprocessing the acquired operation data, and the data processing and analyzing system is used for judging the acquired operation data and calculating the health degree of the photovoltaic power station.
6. The system for realizing the photovoltaic health assessment method based on centralized monitoring as claimed in claim 5, wherein the data acquisition server is connected with the telemechanical of the photovoltaic power station through a power line, and the telemechanical of the photovoltaic power station acquires the equipment data of each photovoltaic module.
7. The system for realizing the photovoltaic health assessment method based on centralized monitoring as claimed in claim 5, wherein the centralized control side database is an openPlant real-time database.
8. The system for realizing the photovoltaic health assessment method based on centralized monitoring as claimed in claim 5, wherein the centralized control side database is connected with the data processing and analyzing system through a unidirectional gatekeeper.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116579500A (en) * | 2023-06-20 | 2023-08-11 | 国家电投集团综合智慧能源科技有限公司 | Photovoltaic power station health degree prediction method, system and storage medium |
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| WO2017008180A1 (en) * | 2015-07-16 | 2017-01-19 | 广东产品质量监督检验研究院 | Photovoltaic module failure risk determination method |
| CN111010083A (en) * | 2019-11-21 | 2020-04-14 | 浙江大学 | Early warning system is synthesized to photovoltaic power plant trouble |
| CN114048950A (en) * | 2021-10-12 | 2022-02-15 | 西安热工研究院有限公司 | Health degree assessment method and system for wind turbine generator |
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- 2022-03-30 CN CN202210325083.6A patent/CN114707841A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017008180A1 (en) * | 2015-07-16 | 2017-01-19 | 广东产品质量监督检验研究院 | Photovoltaic module failure risk determination method |
| CN111010083A (en) * | 2019-11-21 | 2020-04-14 | 浙江大学 | Early warning system is synthesized to photovoltaic power plant trouble |
| CN114048950A (en) * | 2021-10-12 | 2022-02-15 | 西安热工研究院有限公司 | Health degree assessment method and system for wind turbine generator |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116579500A (en) * | 2023-06-20 | 2023-08-11 | 国家电投集团综合智慧能源科技有限公司 | Photovoltaic power station health degree prediction method, system and storage medium |
| CN116579500B (en) * | 2023-06-20 | 2023-10-13 | 国家电投集团综合智慧能源科技有限公司 | Photovoltaic power station health degree prediction method, system and storage medium |
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