Multiobjective Particle Swarm Optimization for Environmental/Economic Power Dispatch problem

By the use of fossil based fuels in power generation units requires the consideration of the environmental pollution. A multiobjective particle swarm optimization technique for the solution of environmental economic power dispatch problem is proposed in this paper. Here EED problem is formulated a nonlinear multiobjective function as objective function by considering both equality and inequality constraints. The multi-objective optimization in power systems treats economic and emission as conflicting objectives, to get an optimal solution some reasonable trade off among these objectives are required. So in this paper, the power dispatch is formulated into a two-objective optimization problem, which is to minimize the fuel cost as well as emission simultaneously. Citation: Manoj Kumar.T, Saveetha University, Chennai; Vinod.V.P ,Saveetha University, Chennai; Asish John Mathew ,Karunya University, Coimbatore. "Multiobjective Particle Swarm Optimization for Environmental/Economic Power Dispatch problem." Global Research and Development Journal For Engineering 22 2017: 1 - 6.