Least Cost Generation Expansion Planning With Wind Plant Using Differential Evolution Algorithm

被引：0
|
作者：
Bhuvanesh, A. [1 ]
Karunanithi, K. [1 ]
Kannan, S. [1 ]
机构：
[1] Kalasalingam Univ, Dept EEE, Krishnankoil, Tamil Nadu, India
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014) | 2014年
关键词：
Differential Evolution; Generation Expansion Planning; Wind plant; NSGA-II ALGORITHM; GENETIC ALGORITHM; METAHEURISTIC TECHNIQUES; OPTIMIZATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The Generation Expansion Planning (GEP) problem is a large scale, mixed integer and the most complicated optimization problem. In this paper, an application of Differential Evolution (DE) algorithm for solving the GEP problem is presented. In the formulation, the objective function is to be minimized and find out the least cost GEP problem. The GEP problem is considered for a test system of 14-years planning horizon having five conventional type and one non-conventional type of plants. The results are obtained for GEP problem with and without using the non-conventional plant (Wind plant). The results obtained for GEP problem with and without the Wind plant are compared.
引用
收藏
页码：540 / 547
页数：8
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