Solving Economic Dispatch Problem Using Hybrid GA-MGA

被引：5
|
作者：
Kherfane, R. L. [1 ]
Younes, M. [1 ]
Kherfane, N. [1 ]
Khodja, F. [1 ]
机构：
[1] Djillali Liabes Univ Sidi Bel Abbes, Fac Technol, Sidi Bel Abbes, Algeria
来源：
TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY (TMREES14 - EUMISD) | 2014年 / 50卷
关键词：
EPD (economic power dispatch); optimization; genetic algorithm; wind energy; hybrid approach; OPTIMAL POWER-FLOW; ALGORITHM;
D O I：
10.1016/j.egypro.2014.06.112
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 a new method combined in two meta-heuristic methods, the Genetic algorithm (GA) and micro-genetic algorithm (MGA), to solve the EPD (economic power dispatch) problem. The GA is applied to find the global optimum by against the MGA is used to search the local optimum. The problem is addressed by considering the injection of wind power into the electric network. The approach is applied to 30 buses and on a western part of the Algerian power network. The obtained results are compared with those in literature. (C) 2014 Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Selection and peer-review under responsibility of the Euro-Mediterranean Institute for Sustainable Development (EUMISD)
引用
收藏
页码：937 / 944
页数：8
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