Parameter Estimation of Solar Cells via Weighted Mean of Vectors Algorithm
Davut İzci, Serdar Ekinci, Süleyman Dal, Necmettin Sezgın
Abstract
The renewable energy sources has seen an intense attraction from the research community due to their undeniable potential in terms of sustainability. Amongst them, the solar energy holds a unique place because of the global availability. However, certain challenges must be addressed to appropriately integrate the photovoltaic cells with the power networks. In this regard, this paper investigates the promise of a new intelligent optimization technique named weighted mean of vectors (also known as INFO) algorithm in terms of successfully estimating the parameters of single and double diode photovoltaic models. The obtained results are compared with that of the available approaches reported in literature. The proposed optimization technique is demonstrated to have good performance for successfully estimating the parameters of single and double diode models of the photovoltaic cells.