Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/38504
Title: Method for Prediction of the Power Output from Photovoltaic Power Plant under Actual Operating Conditions
Authors: Obukhov, Sergey Gennadievich
Plotnikov, Igor Aleksandrovich
Surzhikova, O. A.
Savkin, K. D.
Keywords: прогнозирование; выходная мощность; фотоэлектрические электростанции; возобновляемые источники энергии; энергетические характеристики; солнечные панели; имитационное моделирование; силовые установки; энергетические комплексы
Issue Date: 2017
Publisher: IOP Publishing
Citation: Method for Prediction of the Power Output from Photovoltaic Power Plant under Actual Operating Conditions / S. G. Obukhov [et al.] // IOP Conference Series: Materials Science and Engineering. — 2017. — Vol. 189 : Modern Technologies for Non-Destructive Testing : 5th International Conference, 3–8 October 2016, Tomsk, Russian Federation : [proceedings]. — [012008, 6 p.].
Abstract: Solar photovoltaic technology is one of the most rapidly growing renewable sources of electricity that has practical application in various fields of human activity due to its high availability, huge potential and environmental compatibility. The original simulation model of the photovoltaic power plant has been developed to simulate and investigate the plant operating modes under actual operating conditions. The proposed model considers the impact of the external climatic factors on the solar panel energy characteristics that improves accuracy in the power output prediction. The data obtained through the photovoltaic power plant operation simulation enable a well-reasoned choice of the required capacity for storage devices and determination of the rational algorithms to control the energy complex.
URI: http://earchive.tpu.ru/handle/11683/38504
Appears in Collections:Материалы конференций

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