A multi-objective evolutionary algorithm for reactive power compensation in distribution networks

被引：53

作者：

Antunes, Carlos Henggeler ^{[1
,2
]}

Pires, Dulce Fernao ^{[2
,3
]}

Barrico, Carlos ^{[2
,4
]}

Gomes, Alvaro ^{[1
,2
]}

Martins, Antonio Gomes ^{[1
,2
]}

机构：

[1] Univ Coimbra, Dept Elect Engn & Comp, P-3030 Coimbra, Portugal

[2] INESC Coimbra, P-3030 Coimbra, Portugal

[3] Polytech Inst Setubal, EST Setubal, P-2910761 Setubal, Portugal

[4] Univ Beira Interior, Dept Informat, P-6201 Covilha, Portugal

来源：

APPLIED ENERGY | 2009年 / 86卷 / 7-8期

关键词：

Genetic algorithms; Multi-objective models; Power factor compensation; Voltage profile; Capacitor location; Distribution networks; RADIAL-DISTRIBUTION NETWORKS; OPTIMAL CAPACITOR PLACEMENT; GENETIC ALGORITHM; DISTRIBUTION-SYSTEMS; OPTIMIZATION;

D O I：

10.1016/j.apenergy.2008.09.008

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：

080707 [能源环境工程]; 082001 [油气井工程];

摘要：

In this paper, the problem of locating and sizing capacitors for reactive power compensation in electric radial distribution networks is modeled as a multi-objective programming problem. An evolutionary approach consisting of an elitist genetic algorithm with secondary population is used to characterize the Pareto optimal (non-dominated) frontier, namely regarding well-distributed and diverse solutions. Two objective functions of technical and economical nature are explicitly considered in this model: minimization of system losses and minimization of capacitor installation costs. Constraints refer to quality of service, power flow, and technical requirements. The performance of the distribution network before and after the reactive power compensation is exploited. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：977 / 984

页数：8

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