Network Expansion Planning Using Linkage Identification Genetic Algorithm

被引:0
|
作者
Okabe, Masanori [1 ]
Aoki, Hidenori [2 ]
机构
[1] Tokai Univ, Dept Elect & Elect Syst Engn, 4-1-1 Kita Kaname, Hiratsuka, Kanagawa 25912, Japan
[2] Tokai Univ, Dept Elect & Elect Engn, Hiratsuka, Kanagawa, Japan
关键词
component; distribution network expansion planning; Multi-objective Optimization; linkage identification genetic;
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 the application of multi-objective optimization method for Network Expansion Planning. The Distribution Network Expansion Planning (DNEP) aims to minimize the cost and distribution loss while satisfying the constraints. The problem formulation results in combinatorial optimization problems which in practice are quite hard to solve due to their complexity. Therefore, in this paper Genetic Algorithm which is a meta-heuristics method was applied. The present study proposed the new method of multi-objective optimization methods. NSGA-II and SPEA2 is assumed to be the best method now. The proposed method introduces the concept of linkage identification genetic algorithm into that method. As a result, new method was possible to search more efficiently than existing methods.
引用
收藏
页码:217 / 222
页数:6
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