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author:

Zhang, T. (Zhang, T..) [1] | Cai, J.-D. (Cai, J.-D..) [2]

Indexed by:

Scopus

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. Copyright © 2010 Inderscience Enterprises Ltd.

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, T.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Cai, J.-D.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Zhang, T.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 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

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 29

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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