Title of article :
Very accurate parameter estimation of single- and double-diode solar cell models using a modified artificial bee colony algorithm
Author/Authors :
Jamadi, Mohammad Department of Electrical Engineering - Zanjan Branch Islamic Azad University , Merrikh-Bayat, Farshad Department of Electrical and Computer Engineering - University of Zanjan , Bigdeli, Mehdi Department of Electrical Engineering - Zanjan Branch Islamic Azad University
Abstract :
This paper proposes an effective method for very accurate parameter estimation of single- and double diode solar cell models. For this purpose, unknown parameters of model are estimated by minimization of an objective function using a new highly effective modified version of artificial bee colony (ABC) algorithm. The proposed algorithm is used for parameter estimation of
single- and double-diode models and the results are compared, from different aspects, with recently developed related works (including those applied GA, CPSO, PS, SA, IGHS, ABSO, ABC, GGHS, and IADE for this purpose). The proposed algorithm is also compared with other modified explanations of ABC algorithm. The results show that the proposed strategy is considerably faster and more accurate compared to all the previous studies.
Keywords :
Parameter estimation , Solar cell , Single- and double-diode models , Modified artificial bee colony , MABC , algorithm
Journal title :
Astroparticle Physics
