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.
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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:
Corresponding Author
Haifeng Zhang
School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China,