Title: A novel hybrid particle swarm optimisation method applied to economic dispatch

Authors: Tao Zhang, Jin-ding Cai

Addresses: College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China. ' College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China

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.

Keywords: economic dispatch; particle swarm optimisation algorithm; genetic algorithms; GAs; chaotic search; valve-point effect; globe optimisation; dynamic inertial weight; nonlinear optimisation; economic load dispatch.

DOI: 10.1504/IJBIC.2010.030039

International Journal of Bio-Inspired Computation, 2010 Vol.2 No.1, pp.9 - 17

Available online: 03 Dec 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article