GA Based FGP Approach for Optimal Reactive Power Dispatch

被引：18

作者：

Pal, Bijay Baran ^{[2
]}

Biswas, Papun ^{[1
]}

Mukhopadhyay, Anirban ^{[3
]}

机构：

[1] JIS Coll Engn, Dept Elect Engn, Kalyani 741235, W Bengal, India

[2] Univ Kalyani, Dept Math, Kalyani 741235, W Bengal, India

[3] Univ Kalyani, Dept Comp Sci & Engn, Kalyani 741235, W Bengal, India

来源：

FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE: MODELING TECHNIQUES AND APPLICATIONS (CIMTA) 2013 | 2013年 / 10卷

关键词：

Fuzzy goal programming; Genetic algorithm; L-index; Reactive power dispatch; Voltage profile; Voltage stability; FUZZY; FLOW; OPTIMIZATION; REAL;

D O I：

10.1016/j.protcy.2013.12.384

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Reactive power dispatch (RPD) is one of the major issues of modern energy management system. This article presents an efficient genetic algorithm (GA) approach for modelling and solving RPD problem of power system in the framework of fuzzy goal programming (FGP) in uncertain environment. In the proposed approach, the objectives of the problem concerned with RPD problem are fuzzily described. In the solution process, the proposed GA method is used in the framework of FGP model in an iterative manner to reach a satisfactory decision. The proposed approach is tested on the standard IEEE 6-Generator 30-Bus System and compared with the solutions obtained in previous study. (C) 2013 The Authors. Published by Elsevier Ltd.

引用

页码：464 / 473

页数：10

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