ASSESSMENT OF TECHNICAL CONDITION OF PHOTOVOLTAIC STATION EQUIPMENT USING SOFTWARE AND HARDWARE TOOLS
Today, photovoltaic power stations (PVS) occupy a prominent place in the balance of power and electricity of electric power systems (EPS). It becomes important to know how much electricity and according to what time schedule the PVS can generate it. Among the various reasons for the unstable generat...
Збережено в:
| Дата: | 2023 |
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| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Institute of Renewable Energy National Academy of Sciences of Ukraine
2023
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| Теми: | |
| Онлайн доступ: | https://ve.org.ua/index.php/journal/article/view/381 |
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| Назва журналу: | Vidnovluvana energetika |
Репозитарії
Vidnovluvana energetika| Резюме: | Today, photovoltaic power stations (PVS) occupy a prominent place in the balance of power and electricity of electric power systems (EPS). It becomes important to know how much electricity and according to what time schedule the PVS can generate it. Among the various reasons for the unstable generation of photovoltaic power stations, their technical condition should be noted, in particular, the gradual degradation of photovoltaic modules (PVM). For the participation of PVS in the processes taking place in the EPS, it is necessary to know their current technical condition and prospects regarding the possibility of generating electricity in a given volume. An investor is interested in knowing their residual resource in relation to the estimated one at the start of operation, in order to plan electricity generation and plan the expediency of costs for the repair of the PVS. This puts forward appropriate conditions for the methods and means of assessing the technical condition of the PVS. In the article, an algorithm of data generation for assessing the technical condition of the FES was wrote. The basis of the algorithm is a mathematical model of the PVS operation process based on the results of retrospective data and monitoring and forecasting data for the purpose of detecting defects and malfunctions. First of all, the article deals with the evaluation of the technical condition of PVM. To evaluate the PVM performance, it is proposed to use indicator coefficients that indicate the abnormal operation of the PVM in the string and actually signal the presence of a problem in its operation. The diagnostic parameters are determined and the coefficients of the PVM residual resource are determined based on their values. None of these parameters fully characterizes the technical condition, it only indicates certain changes in the technical condition of the PVM. At this stage, methods of fuzzy set theory are used to solve the given problem, which makes it possible to take into account the values of various diagnostic parameters during PVM diagnostics and create a base of rules for their interaction. Ref. 12. Fig. 5. |
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