Non Dominated Sorting based Multi Objective GSA for Solving Optimal Power Flow Problems

被引：0

作者：

Bhowmik, Arup Ratan ^{[1
]}

Chakraborty, Ajoy Kumar ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Agartala, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI) | 2017年

关键词：

active power loss; fuel cost minimization; interactive fuzzy membership approach; optimal power flow; multi objective optimization; NSMOGSA; DIFFERENTIAL EVOLUTION ALGORITHM; SEARCH;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the solution of different optimal power flow (OPF) problems using non dominated sorting based multi objective gravitational search algorithm (NSMOGSA). OPF problem is formulated as a non-linear constrained optimization problem where different objectives and various constraints have been considered into the formulation. To show the effectiveness of the proposed algorithm, it has been tested on a standard IEEE 30-bus system with two different individual objectives that reflect active power loss minimization and fuel cost minimization with valve point loading effect. The performance of NSMOGSA is compared with the results found by other meta-heuristic techniques reported in the recent literature. Numerical results demonstrate the tangible superiority of the proposed method in achieving the optimum OPF solution.

引用

页码：2195 / 2200

页数：6

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