Enhancing photovoltaic solar model parameter optimization: WSO-MTBO hybrid approach based on Newton-Raphson method

• Autorzy: Jeridi Ahmed , Moulahi Med Hedi , Messaoud Ramzi Ben , Zaafouri Abderrahmen

Identyfikatory

DOI

10.15199/48.2024.11.25

Warianty tytułu

PL

Ulepszanie optymalizacji parametrów modelu fotowoltaicznego: hybrydowe podejście WSO-MTBO oparte na metodzie Newtona-Raphsona

• Języki publikacji: EN

Abstrakty

EN

In recent years, accurate parameter estimation in photovoltaic (PV) system modeling has become increasingly crucial for optimizing overall system performance. The main contribution is to combine War Strategy Optimization (WSO) and Mountaineering Team-Based Optimization (MTBO) algorithms based on the Newton-Raphson technique, a novel hybrid model, WSO-MTBO, allows to estimate parameters in solar cell models. Finally, simulation results are presented and compared with other algorithms, that illustrate enhanced parameter estimation accuracy

PL

W ostatnich latach dokładne szacowanie parametrów w modelowaniu systemów fotowoltaicznych (PV) stało się coraz ważniejsze dla optymalizacji ogólnej wydajności systemu. Głównym wkładem jest połączenie algorytmów War Strategy Optimization (WSO) i Mountaineering Team-Based Optimization (MTBO) opartych na technice Newtona-Raphsona, nowy hybrydowy model WSO-MTBO pozwala na szacowanie parametrów w modelach ogniw słonecznych. Na koniec przedstawiono wyniki symulacji i porównano je z innymi algorytmami, które ilustrują zwiększoną dokładność szacowania parametrów.

Słowa kluczowe

EN

Solar PV system; WSO; MTBO; Newton-Raphson method; parameter optimization

PL

system fotowoltaiczny; WSO; MTBO; metoda Newtona-Raphsona; optymalizacja parametrów

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 11
• Strony: 133--140
• Opis fizyczny: Bibliogr. 47 poz., rys., tab.

Twórcy

autor

Jeridi Ahmed

• University of Tunis, Higher National Engineering School of Tunis (ENSIT), Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), 05 Ave Taha Hussein, Tunis 1008

autor

Moulahi Med Hedi

• University of Tunis, Higher National Engineering School of Tunis (ENSIT), Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), 05 Ave Taha Hussein, Tunis 1008

autor

Messaoud Ramzi Ben

• Center for Energy Research and Technologies (CRTEn)

autor

Zaafouri Abderrahmen

• University of Tunis, Higher National Engineering School of Tunis (ENSIT), Laboratory of Industrial Systems Engineering and Renewable Energy (LISIER), 05 Ave Taha Hussein, Tunis 1008

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).