Optimization of ED Problems of Interconnected Power System Using Particle Swarm Optimization

Authors

  • Rakesh Sharma Department of Electrical Engineering, Arya Institute of Engineering & Technology Jaipur, Rajasthan, India
  • Bharat Bhushan Jain
  • Ravinder Singh Mann
  • Vivek Prakash

DOI:

https://doi.org/10.37591/.v5i1.3177

Abstract

This paper proposes an effective and useful evolutionary-based method to solve the economic load dispatch (ELD) problem. This paper introduces particle swarm optimization (PSO) technique for solving the economic dispatch (ED) problem in power system. ELD problem is really the solution of a large number of load flow problem with equality & inequality constraints.  In this paper, a PSO technique for solving the ELD problem in power system is proposed. Many nonlinear characteristics of the generator units, such as prohibited operating zone and nonsmooth cost functions are considered using the PSO in practical generator operation. The PSO performance results are compared with conventional methods like genetic algorithm (GA) & differential evolution (DE) algorithm and we observed that PSO can solve the ED problems more efficiently in power system.

 

Keywords: Power system, Particle Swarm Optimization (PSO), Global Optimization, Genetic Algorithm (GA), Economic Dispatch (ED)

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Published

2019-08-17

Issue

Vol. 5 No. 1 (2015)

Section

Research Article

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