Economic Load Dispatch Including Wind Power Using Bat Algorithm

被引:0
|
作者
Jose, Julia Tholath [1 ,2 ,3 ]
机构
[1] Cochin Univ Sci & Technol, Cochin, Kerala, India
[2] Rajagiri Sch Engn & Technol, Kochi, Kerala, India
[3] Birla Inst Technol, CORE, Ras Al Khaymah, U Arab Emirates
关键词
Economic load dispatch; Bat Algorithm; Particle swarm optimization; Weibull Probability density function;
D O I
暂无
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
This paper presents an efficient and reliable solution of economic load dispatch (ELD) using Bat (BA) Algorithm. The objective of the problem is to minimize cost of power generation while meeting operating constraints. As the wind energy is growing renewable energy source, it is necessary to include wind energy conversion system generators in the economic load dispatch problems. The stochastic nature of wind power output and the imbalance charges such as over estimation cost and under estimation cost due to forecasting errors of wind are taken into account. The feasibility of the proposed algorithm is demonstrated for six unit and fifteen unit thermal system with and without wind power and the results are compared with PSO.
引用
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页数:4
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