A SYNTHETIC INSOLATION SERIES IN SIZING CALCULATIONS OF PV PLANTS

The application of synthetic series of daily peak solar hours PSH(n) to the battery size problem for stand-alone PV systems is considered. To generate such series, a first-order Markov regression model with two types of fluctuation probability distribution functions is used: Gaussian and asymmetric...

Повний опис

Збережено в:
Бібліографічні деталі
Дата:2025
Автори: Gaevskii , O., Gaevska , H.
Формат: Стаття
Мова:Ukrainian
Опубліковано: Institute of Renewable Energy National Academy of Sciences of Ukraine 2025
Теми:
Онлайн доступ:https://ve.org.ua/index.php/journal/article/view/554
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Назва журналу:Vidnovluvana energetika

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Vidnovluvana energetika
Опис
Резюме:The application of synthetic series of daily peak solar hours PSH(n) to the battery size problem for stand-alone PV systems is considered. To generate such series, a first-order Markov regression model with two types of fluctuation probability distribution functions is used: Gaussian and asymmetric derived from radiation data. The method for battery size determining under given installed PV power and load, which meets the given power outage factor LOLP, is proposed. The dependencies between the nominal battery energy and the LOLP factor for two types of insolation fluctuations are obtained and the results are compared with the calculation based on averaged PSH(n) profiles.