Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms

被引:90
作者
Siddiqui, M. U. [1 ]
Abido, M. [2 ]
机构
[1] King Fahd Univ Petr & Minerals, Dept Mech Engn, Dhahran 31261, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
关键词
Photovoltaic; Five parameter model; Parameter estimation; Equivalent circuit model; Evolutionary algorithms; Hybrid evolutionary algorithms; NONLINEAR STRUCTURAL SYSTEMS; NEURAL-NETWORK CONTROLLERS; FUZZY CONTROL; TIME-DELAY;
D O I
10.1016/j.asoc.2013.07.005
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Equivalent electric circuit modeling of PV devices is widely used to predict PV electrical performance. The first task in using the model to calculate the electrical characteristics of a PV device is to find the model parameters which represent the PV device. In the present work, parameter estimation for the model parameter using various evolutionary algorithms is presented and compared. The constraint set on the estimation process is that only the data directly available in module datasheets can be used for estimating the parameters. The electrical model accuracy using the estimated parameters is then compared to several electrical models reported in literature for various PV cell technologies. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:4608 / 4621
页数:14
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