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A Fuzzy Particle Swarm Optimization for Solving the Economic Dispatch Problem

  • Sanjeev Kumar
  • D. K. Chaturvedi
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 130)

Abstract

This paper presents a fuzzy particle swarm optimizer to solve the economic load dispatch (ELD) problem of thermal generators of a power system. Several factors such as quadratic cost functions with valve point loading is considered in the computation models. The Fuzzy particle swarm optimization (FPSO) provides a new mechanism to avoid premature convergence problem with optimum solution. The proposed method has been applied to 3 and 40 generator power system whose cost functions are non-convex in nature. Results obtained by this method have been compared with those obtained by PSO method. The experimental results show that proposed FPSO method is capable of obtaining optimum solution in fewer numbers of iterations.

Keywords

Particle Swarm Optimization Power System Modify Particle Swarm Optimization Economic Dispatch Power Apparatus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer India Pvt. Ltd. 2012

Authors and Affiliations

  1. 1.Dayalbagh Educational InstituteAgraIndia

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