Particle swarm optimization for various types of economic dispatch problems

This paper describes a successful adaptation of the particle swarm optimisation (PSO) algorithm to solve various types of economic dispatch (ED) problems in power systems such as, multi-area ED with tie line limits, ED with multiple fuel options, combined environmental economic dispatch, and the ED...

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Bibliographic Details
Published inInternational journal of electrical power & energy systems Vol. 28; no. 1; pp. 36 - 42
Main Authors Jeyakumar, D.N., Jayabarathi, T., Raghunathan, T.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 2006
Elsevier
Subjects
Applied sciences
Economic dispatch
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Operation. Load control. Reliability
Particle swarm optimization
Piecewise quadratic cost function
Power networks and lines
Particle swarm optimization
Economic dispatch
Piecewise quadratic cost function
MATLAB software
Evolutionary computation
Power generation dispatch
Experimental result
Electrical network
Cost function
Numerical simulation
Economic aspect
Comparative study
Quadratic function
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Summary:This paper describes a successful adaptation of the particle swarm optimisation (PSO) algorithm to solve various types of economic dispatch (ED) problems in power systems such as, multi-area ED with tie line limits, ED with multiple fuel options, combined environmental economic dispatch, and the ED of generators with prohibited operating zones. Numerical examples typical to each type are solved on Matlab 6.5 platform, using both the PSO method and the classical evolutionary programming (CEP) approach. The results obtained show that the proposed PSO based ED algorithm can provide comparable dispatch solutions with reduced computation time for all types of ED problems.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2005.09.004