Optimal Power Distribution Network Reconfiguration using Cuckoo Search

被引：0

作者：

Herazo, Efren

Quintero, Michell ^{[1
]}

Candelo, John ^{[2
]}

Soto, Jose ^{[3
]}

Guerrero, Javier ^{[4
]}

机构：

[1] Univ Costa, Elect Engn Program, Barranquilla, Colombia

[2] Univ Nacl Medellin, Medellin, Colombia

[3] Univ Norte Barranquilla, Barranquilla, Colombia

[4] Univ Norte, Barranquilla, Colombia

来源：

2015 4TH INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS) | 2015年

关键词：

Ant Colony Optimization; Cuckoo Search algorithm; distribution system; distribution network reconfiguration; real power; ANT COLONY OPTIMIZATION;

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 an adaptation of a new metaheuristic algorithm known as Cuckoo Search (CS) to solve the distribution network reconfiguration problem (DNRC), where the objective is to minimize the real power losses subject to constraints such as voltage levels in nodes, current levels in branches, and maintaining a radial topology in the distribution test system. The performance of the proposed method is compared with a popular meta-heuristic algorithm, Ant Colony Optimization (ACO). The methods have been tested on the IEEE 37 bus radial distribution system. Experiments were carried out to compare the simulation time, which is a critical measure for the real implementation of the method in real power distribution systems.

引用

页数：6

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