Space Reduction Strategy based Particle Swarm Optimization Technique for the Solution of Environmental/Economic Dispatch Problem
T. Manoj Kumar1, N. Albert Singh2

1T. Manoj Kumar, Research Scholar, Saveetha University, Chennai (Tamil Nadu), India.
2N. Albert Singh, Executive, Bharat Sanchar Nigam Limited, Chennai (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 08 May 2019 | PP: 453-457 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11800275S19/19©BEIESP
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Abstract: Proposed for the ideal arrangement of eco-friendly economic power dispatch problem of thermal units, an expert release of particle swarm optimization technique is presented in this paper. A space reduction strategy based PSO is analyzed here to solve the EED problem to acquire the Pareto ideal arrangement in the recommended pursuit space by upgrading the speed of optimization process. PSO is one of the nature based algorithm enlivened by the sociological behavior which can be utilized in variety of engineering applications. So many papers are available nowadays for the proper analysis and some of the papers are utilized for literature review. Search space reduction strategy can be applied to our existing particle swarm optimization to increase the speed of moving particles in order to attain Pareto optimal global solution. Here the validation of SR-PSO is demonstrated with an Indian test system with 6 generators. Our main aim is to dispatch the system with minimum operating fuel cost with least emission.
Keywords: Environmental/Economic Dispatch Problem, Pareto Optimal Solution, Search Space Reduction Particle Swarm Optimization.
Scope of the Article: Environmental Engineering