An Improved Particle Swarm Optimization Algorithm for Dynamic Economic Dispatch Problems

Haifeng Zhang

Abstract

In this paper, an improved particle swarm optimization (PSO) algorithm is applied to solve the dynamic economic dispatch (DED) problem considering various generator constraints. A feasible region adjustment strategy is presented to ensure the feasibility of the solution. In order to verify the performance of the approach, the proposed approach is tested with a power system case consisting of 6 thermal units. Results show that the improved PSO approach is effective.

Keywords

particle swarm optimization; dynamic economic dispatch; feasible region adjustment strategy; spinning reserve.

Reference

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Cites this article as

H. Z. "An Improved Particle Swarm Optimization Algorithm for Dynamic Economic Dispatch Problems", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-3, Issue-4, Page No-264-266, 2016. Available from: