Improvement teaching-learning-based optimization algorithm for solar cell parameter extraction in photovoltaic systems

• Datum: 2025
• Hauptverfasser: Khaterchi, H., Moulahi, M. H., Jeridi, A., Ben Messaoud, R., Zaafouri, A.
• Format: Artikel
• Sprache: English
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2025
• Schlagworte: photovoltaic system; teaching-learning-based optimization; Newton-Raphson method; parameter optimization
• Online Zugang: http://eie.khpi.edu.ua/article/view/312796
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. This study investigates parameter extraction methods for solar cell analytical models, which are crucial for accurate photovoltaic (PV) system design and performance. Problem. Traditional single-diode models, while widely used, often lack precision, leading to inefficiencies in paramet...