Environmental Economic Dispatch with the use of Particle Swarm Optimization Technique based on Space Reduction Strategy
Abstract
This paper introduces a professional edition of Particle Swarm Optimization (PSO) technique, intending to address the Environmental Economic Dispatch problem of thermal electric power units. Space Reduction (SR) strategy based PSO is proposed, in order to obtain the Pareto optimal solution in the prescribed search space, by enhancing the speed of the optimization process. PSO is a natural algorithm, which can be used in a wide area of engineering issues. Many papers have illustrated different techniques that solve various types of dispatch problems, with numerous pollutants as constraints. Search SR strategy is applied to PSO algorithm in order to increase the particles’ moving behavior, by using effectively the search space, and thus increasing the convergence rate, so as to attain the Pareto optimal solution. The validation of SR-PSO algorithm is demonstrated, through its application on an Indian system with 6 generators and three IEEE systems with 30, 57 and 118 buses respectively, for variable load demands. The minimum fuel cost and least emission solutions are achieved by examining various load conditions.
Keywords:
search space reduction, Particle Swarm Optimization (PSO), Environmental/Economic Dispatch (EED) problem, Pareto optimal solutionDownloads
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