Exponential Decreasing Inertia Weight Particle Swarm Optimization In Economic Load Dispatch

Research Area: Volume 1 Issue 5, Sept. 2012 Year: 2012
Type of Publication: Article Keywords: Economic load dispatch, Problem formulation, Exponential decreasing inertia weight particle swarm optimization
Authors:
  • Jaya Pediwal
  • Dr. Amita Mahor
  • Navita Khatri
Journal: IJEIR Volume: 1
Number: 5 Pages: 380-384
Month: Sept.
ISSN: 2277-5668
Abstract:
Economic load dispatch (ELD) is one of the important task which provides cost effective generation in power system. It is an optimization problem and the main objective is to minimize the total generation cost of all committed generating units, while satisfying various physical and operational constraints. In the development of artificial intelligence(AI) technique Eberhart and kennedy suggested Particle Swarm Optimization (PSO) used to solve NonConvex Economic Dispatch (NCED) problem. PSO has performance parameters such as inertia weight, acceleration coefficient, random numbers which can enhance the performance of PSO. Among these parameter, inertia weight is very important, which can approaches in fuzzy or linear way. In this paper Exponential Decreasing Inertia Weight (EDIW) has been proposed. The effectiveness of proposed algorithm tested on case system & shown superior result in terms of convergence and solution quality.

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