Acta Photonica Sinica, Volume. 44, Issue 1, 125001(2015)
Artificial Bee Swarm Algorithm in the Application of Photovoltaic Cell Five-parameter Double-diode Model
In order to solve the low accuracy of the parameter identification of photovoltaic cell five-parameter double-diode model, a artificial bee swarm algorithm was proposed.The method is to use the idear of the cure fitting to calculate parameters.In order to make a comparison of the normalized root mean square error percentage,the calculation of current value must be identified.In order to make double-diode model equation contain only one variable in index factors,the method of variable substitution is adopted.Through the programming,the calculation of current values can be identified.The normalized root mean square error percentages of artificial bee swarm and New-Raphson method are 0.011 7% and 6.35%.The experiment and analysis show that the accuracy of artificial bee swarm algorithm is better than New-Raphson method,genetic algorithm,pattern search algorithm and simulated annealing algorithm to solve the accuracy of parameters,which can be considered as a new method to provide for parameter identification of photovoltaic cell.
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JIAN Xian-zhong, WEI Kai, GUO Qiang. Artificial Bee Swarm Algorithm in the Application of Photovoltaic Cell Five-parameter Double-diode Model[J]. Acta Photonica Sinica, 2015, 44(1): 125001
Category: Optoelectronics
Received: Jun. 10, 2014
Accepted: --
Published Online: Jan. 26, 2015
The Author Email: Xian-zhong JIAN (jianxz@usst.edu.cn)