An efficient evolutionary optimization algorithm for multiobjective distribution feeder reconfiguration

被引：0
|
作者：
Taher Niknam
Mokhtar Sha Sadeghi
机构：
[1] Taher Niknam is with Islamic Azad University,Marvdasht Branch
[2] Shiraz University of Technology,Department of Electrical and Electronics Engineering
来源：
International Journal of Control, Automation and Systems | 2011年 / 9卷
关键词：
Distribution feeder reconfiguration; evolutionary algorithm; modified honey bee mating optimization (MHBMO); multi-objective optimization.;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a Multi-objective Modified Honey Bee Mating Optimization (MMHBMO) evolutionary algorithm is proposed to solve the multi-objective Distribution Feeder Reconfiguration (DFR). The real power loss, the number of the switching operations and the deviation of the voltage at each node are considered as the objective functions. Conventional algorithms for solving the multiobjective optimization problems convert the multiple objectives into a single objective using a vector of the user-predefined weights. This paper presents a new MHBMO algorithm for the DFR problem. In the proposed algorithm an external repository is utilized to save non-dominated solutions found during the search process. A fuzzy clustering technique is used to control the size of the repository within the limits because of the objective functions are not the same. The proposed algorithm is tested on a distribution test feeder.
引用
收藏
页码：112 / 117
页数：5
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