Maximum Power Point Tracking for Stand-Alone Photovoltaic System Using Evolutionary Programming

被引:0
作者
Hashim, N. [1 ]
Salam, Z. [2 ]
Ayob, S. M. [2 ]
机构
[1] Univ Teknol MARA UiTM, Fac Elect Engn, Shah Alam, Selangor, Malaysia
[2] Univ Teknol Malaysia, Fac Elect Engn, Skudai, Johor, Malaysia
来源
2014 IEEE 8TH INTERNATIONAL POWER ENGINEERING AND OPTIMIZATION CONFERENCE (PEOCO) | 2014年
关键词
Photovoltaic system; partial shading condition; soft computing; maximum power point tracking; EP; GA; PV SYSTEM;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents Maximum Power Point Tracking (MPPT) algorithm for stand-alone Photovoltaic (PV) system using Evolutionary Programming (EP) method. The EP has not been used for this system before, thus this work can be considered as new. The basic idea of applying EP for stand-alone PV System based MPPT is given. Simulation of PV system is carried out using Matlab/Simulink environment. In particular, the partial shading condition is addressed. To evaluate the accuracy of the algorithm, two statistical analysis namely; mean absolute error (MAE) and standard deviation (STD) have been carried out. The results are compared with MPPT using the Genetic Algorithm (GA). It was found that EP has a much better convergence speed, tracking accuracy and higher robustness compared to GA.
引用
收藏
页码:7 / 12
页数:6
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