Publication: Parameter extraction of photovoltaic module using hybrid evolutionary algorithm
Date
2015
Authors
Muhsen D.H.
Ghazali A.B.
Khatib T.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
This paper proposes a new method for extracting parameters of double diode model of photovoltaic module, based on differential evolution with adaptive mutation per iteration (DEAM) algorithm. The proposed method combined the mutation mechanism of electromagnetism-like algorithm with conventional version of different evolution (DE) algorithm to enhance the performance of DE. Furthermore, a new formula to adjust the mutation scaling factor and crossover rate for each generation is proposed. The performance of DEAM has been evaluated using experimental data and other previous methods in literature. According to the results, the proposed method offers better performance than other methods in terms of accuracy and convergence. Furthermore, the feasibility of proposed methods is validated by comparing the obtained results with other previous methods using various statistical errors. � 2015 IEEE.
Description
Algorithms; Diodes; Extraction; Iterative methods; Optimization; Parameter estimation; Parameter extraction; Photovoltaic cells; Different evolutions; Differential Evolution; Diode modeling; Electromagnetism-like algorithm; Extracting parameter; Hybrid evolutionary algorithm; Photovoltaic model; Photovoltaic modules; Evolutionary algorithms