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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/46096
Title: Analysis of artificial neural network in a photovoltaic system to extract the maximum power in a photovoltaic based system paradigm
Authors: Elzein Imad
Keywords: материалы конференций;artificial neural network;photovoltaic system paradigm
Issue Date: 2021
Publisher: БГУИР
Citation: Elzein Imad. Analysis of artificial neural network in a photovoltaic system to extract the maximum power in a photovoltaic based system paradigm / Elzein Imad // Информационные технологии и системы 2021 (ИТС 2021) = Information Teсhnologies and Systems 2021 (ITS 2021) : материалы международной научной конференции, Минск, 24 ноября 2021 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2021. – С. 63–65.
Abstract: When implementing a photovoltaic system, different parameters play an integral part in enhancing the extraction of the maximum power of a solar setup. One of the parameters is the maximum power tracking (MPPT) algoritm which is used to track and extract the maximum power Pmax when we refer to PV energy productivity. In the research, we will introduce a new scheme of tracking the Pmax using an artificial neural network (ANN) in different dynamic environmental conditions. The proposed artificial neural network (ANN) based PV model is going to be applied and utilized with a perturb and observe (P&O) algoritm. The improvement of using ANN in PV system world improve its ability to detect MPP at a short period of time as compared to other avaible methods.
URI: https://libeldoc.bsuir.by/handle/123456789/46096
Appears in Collections:ИТС 2021

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