Multi-objective reconfiguration of distribution systems using adaptive genetic algorithm in fuzzy framework

被引：88

作者：

Gupta, N. ^{[1
]}

Swarnkar, A. ^{[1
]}

Niazi, K. R. ^{[1
]}

Bansal, R. C. ^{[2
]}

机构：

[1] Malaviya Natl Inst Technol, Dept Elect Engn, Jaipur, Rajasthan, India

[2] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld, Australia

来源：

IET GENERATION TRANSMISSION & DISTRIBUTION | 2010年 / 4卷 / 12期

关键词：

DISTRIBUTION NETWORK RECONFIGURATION; DISTRIBUTION FEEDER RECONFIGURATION; LOSS REDUCTION; OPTIMIZATION;

D O I：

10.1049/iet-gtd.2010.0056

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study presents an efficient method for the multi-objective reconfiguration of radial distribution systems in fuzzy framework using adaptive genetic algorithm. The initial population for genetic algorithm is created using a heuristic approach and the genetic operators are adapted with the help of graph theory to generate feasible individuals. This avoids tedious mesh check and hence reduces the computational burden. The effectiveness of the proposed method is demonstrated on 70-bus test system and 136-bus real distribution system. The simulation results show that the proposed method is efficient and promising for multi-objective reconfiguration of radial distribution systems.

引用

页码：1288 / 1298

页数：11