Multi-area Economic Dispatch using Improved Particle Swarm Optimization

被引：14

作者：

Jadoun, Vinay K. ^{[1
]}

Gupta, Nikhil ^{[1
]}

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

Swarnkar, Anil ^{[1
]}

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

机构：

[1] Malaviya Natl Inst Technol, Dept Elect Engn, Jaipur 302017, Rajasthan, India

[2] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa

来源：

CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE | 2015年 / 75卷

关键词：

multi-area economic dispatch; fuel cost minimization; particle swarm optimization; tie-line capacity;

D O I：

10.1016/j.egypro.2015.07.493

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：

0807 ; 0820 ;

摘要：

This paper presents improved PSO (IPSO) to solve Multi Area Economic Dispatch (MAED) problem. The objective of MAED problem is to determine the optimal value of power generation and interchange of power through tie-lines interconnecting areas in such a way that total fuel cost of thermal generating units of all areas is minimized while satisfying operational constraints. The control equation of the proposed PSO is modified by suggesting improved cognitive component of the particle's velocity by suggesting preceding experience. The operating parameters of the control equation are also modified to maintain a better balance between cognitive and social behavior of the swarm. The effectiveness of the proposed method has been tested on four areas, 40 generators test system. The application results show that IPSO is very promising to solve large-dimensional MAED problem. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.

引用

页码：1087 / 1092

页数：6

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