Solution for Multi-Objective Reactive Power Optimization Using Fuzzy Guided Tabu Search

被引：18

作者：

Stephen, D. Silas ^{[1
]}

Somasundaram, P. ^{[1
]}

机构：

[1] Anna Univ, Coll Engn Guindy, Dept Elect & Elect Engn, Madras 600025, Tamil Nadu, India

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2012年 / 37卷 / 08期

关键词：

Multi-objective reactive power optimization; Tabu search; Reactive power control; Multi-objective optimization; GENETIC ALGORITHM;

D O I：

10.1007/s13369-012-0297-z

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A fuzzy guided tabu search (FGTS) algorithm for solving multi-objective reactive power optimization problem is presented. The problem is formulated as a non-linear constrained multi-objective problem with three competing objectives, viz., minimization of losses, cost of VAR sources, and improvement of voltage profile. The proposed algorithm is based on the combination of fuzzy logic strategy incorporated in tabu search (TS). The standard IEEE 30-bus system and practical Indian 76-bus system are used as the test systems. The results are encouraging and indicate the viability of the proposed technique. The proposed method is capable of generating diverse and well-distributed pareto-optimal solutions.

引用

页码：2231 / 2241

页数：11

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