Solution of Economic Dispatch Problems with Smooth and Non Smooth Cost Function Using Particle Swarm Optimization

Abstract:

This paper deals with solution of economic dispatch problem with smooth and non smooth cost function. With practical consideration, ED will have non smooth cost functions with equality and inequality constraints that make the problem, a large-scale highly constrained nonlinear optimization problem. Here particle swarm optimization (PSO) technique is used to solve economic dispatch. PSO based algorithm is easy to implement and it performs well on optimization problem. To demonstrate the effectiveness of the proposed method it is being applied to test ED problems, with smooth and non smooth cost functions. Comparison with lagrangian relaxation method showed the superiority of the proposed approach to check the efficiency, studies have been performed for 6 generating unit with smooth cost function. Numerical simulations indicate an improvement in total fuel cost savings.

• Periodical: Advanced Materials Research (Volumes 984-985)
• Pages: 1295-1300
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.1295
• Online since: July 2014
• Authors: S.R. Darsana*, K. Dhayalini, S. Sathiyamoorthy
• Keywords: Economic Dispatch, Lagrangian Relaxation Method, Non Smooth Cost Function, Particle Swarm Optimization (PSO), Smooth

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