P. Sriyanyong (Thailand)
Particle Swarm Optimization (PSO), Dynamic Economic Dispatch (DED)
This paper proposes an enhanced Particle Swarm Optimization (EPSO), where a modified heuristic search method is incorporated with Particle Swarm Optimization (PSO) in order to address the Dynamic Economic Dispatch (DED) problem, while it is also aimed at overcoming the deficiency of the solution feasibility. To verify the performance of the proposed EPSO, it is tested on the 10-unit systems considering both smooth and non smooth cost functions characteristic. The results from optimizing the standard test systems show that the proposed technique is indeed better than other approaches in terms of the solution quality. Thus, it can be concluded that the EPSO is recommended to be a promising method for solving the DED problem.
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