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

• Published in: Electronics and electromechanics Vol. 2025; no. 3; pp. 37 - 44
• Main Authors: Khaterchi, H., Moulahi, M. H., Jeridi, A., Ben Messaoud, R., Zaafouri, A.
• Format: Journal Article
• Language: English
• Published: Kharkiv Department of Electrical Apparatus of National Technical University, Kharkiv Polytechnic Institute 01.05.2025; National Technical University, Ukraine; National Technical University "Kharkiv Polytechnic Institute"
• Subjects: Accuracy; Algorithms; Electrical engineering; Machine learning; Mathematical optimization; newton-raphson method; Optimization; Optimization algorithms; parameter optimization; Parameters; Photovoltaic cells; photovoltaic system; Solar cells; Solar energy industry; Systems design; Teaching; teaching-learning-based optimization

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...