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author:

Zhang, Tao (Zhang, Tao.) [1] | Cai, Jin-ding (Cai, Jin-ding.) [2]

Indexed by:

Scopus SCIE

Abstract:

Economic load dispatch is complex and non-linear problem, it is difficult to solve the problem using traditional optimisation method. PSO has been successfully applied to a wide range of applications, in solving continuous non-linear optimisation problems. This paper presents a novel hybrid PSO algorithm with dynamic inertial weight and chaotic search to solve the problem. The improved hybrid PSO enhanced the global search ability of the algorithm and improved its convergence speed. The hybrid PSO algorithm was successfully validated for two test systems. Numerical simulation results show that the modified hybrid PSO algorithm outperformed standard PSO algorithm and genetic algorithm on the same problem and can save considerable cost of economic load dispatch.

Keyword:

chaotic search dynamic inertial weight economic dispatch GA genetic algorithm globe optimisation non-linear optimisation particle swarm optimisation algorithm valve-point effect

Community:

  • [ 1 ] [Zhang, Tao]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350002, Fujian, Peoples R China
  • [ 2 ] [Cai, Jin-ding]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350002, Fujian, Peoples R China

Reprint 's Address:

  • 张涛

    [Zhang, Tao]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350002, Fujian, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION

ISSN: 1758-0366

Year: 2010

Issue: 1

Volume: 2

Page: 9-17

1 . 7 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

Cited Count:

WoS CC Cited Count: 22

SCOPUS Cited Count: 29

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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