Parameter Estimation of Solar Cells via Weighted Mean of Vectors Algorithm

Izci D., Ekinci S., Dal S., Sezgin N.

2022 IEEE Global Energy Conference, GEC 2022, Batman, Türkiye, 26 - 29 Ekim 2022, ss.312-316, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/gec55014.2022.9986943
  • Basıldığı Şehir: Batman
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.312-316
  • Anahtar Kelimeler: Metaheuristic algorithm, Parameter extraction, Photovoltaic systems, Solar energy, Weighted mean of vectors algorithm
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

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.