Constrained Economic Load Dispatch Using Evolutionary Technique
Journal: Asian Journal of Technology & Management Reserach (Vol.3, No. 2)Publication Date: 2013-12-01
Authors : Nagendra Singh; Yogendra Kumar;
Page : 16-21
Keywords : Economic Load Dispatch (ELD); Fuel cost; Valve point loading effect; Particle swarm optimization (PSO); Moderate random search particle swarm optimization (MRPSO);
Abstract
This paper proposed a new PSO with moderate random search strategy called MRPSO for the solution of economic load dispatch. The property of moderate random search strategy is to increase the convergence rate of particles and it enhances particles ability in such a way to explore in the solution space effectively. PSO is very popular optimization technique and used by various researchers to solve the economic load dispatch problem, but it is seen that, it’s convergence rate very slow at last stage of iteration. The MRSPO can overcome this problem and gives global solution of economic load dispatch. Economic load dispatch is the process of allocation of power generation units such that satisfied load demand at minimal possible cost and also satisfying the various equality as well as inequality constraints. Validation of the proposed optimization algorithm tested by using test case of 3 and 10 generating unit system. The results are compared with other variants of PSO mention in this paper and it is found that the proposed approach outperforms than other PSO Variants.
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