Implementation of Artificial Bee Colony Algorithm on Maximum Power Point Tracking for PV Modules

被引：20
作者：
Bilal, Babar [1 ]
机构：
[1] Univ Politehn Bucuresti, Fac Elect Engn, Bucharest, Romania
来源：
2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE) | 2013年
关键词：
photovoltaic modules; maximum power point tracking; artificial bee colony algorithm; ABC OPTIMIZATION ALGORITHM;
D O I：
10.1109/ATEE.2013.6563495
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Renewable energy has become of utmost importance in the current wake of decreasing levels of fossil fuels and also because of the high percentages of CO2 build-up in the environment. Nowadays there is an increasing trend in the use of solar energy by using photovoltaic (PV). In this paper Artificial Bee Colony algorithm is used for Maximum Power Point Tracking and its performance is compared with Perturb and Observe algorithm.
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页数：4
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