2014•Unpublished venueRequires access

Empirical study of particle swarm optimization for economic load dispatch with valve-point effects

A. M. Abdilahi, Mohd Wazir Mustafa, Jasrul Jamani Jamian, Jafaru Usman

Open publisher page 4 citations

Abstract

This paper empirically studies the performance of the particle swarm optimization (PSO) technique. A practical test system in power system studies is selected as a testing function. The test system takes into account the valve-point effects. The study aims to tune four main parameters involved in the PSO implementation in a typical economic load dispatch problem. The experimental results illustrate the best values to be chosen for PSO's different parameters. The various ranges of a penalty factor were tested and the paper determines which range of values is best suited in the tested economic dispatch problem.

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What this paper is about

This paper empirically studies the performance of the particle swarm optimization (PSO) technique. A practical test system in power system studies is selected as a testing function. The test system takes into account the valve-point effects. The study aims to tune four main parameters involved in the PSO implementation in a typical economic load dispatch problem. The experimental results illustrate the best values to be chosen for PSO's different parameters. The various ranges of a penalty factor were tested and the paper determines which range of values is best suited in the tested economic dispatch problem.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper empirically studies the performance of the particle swarm optimization (PSO) technique. A practical test system in power system studies is selected as a testing function. The test system takes into account the valve-point effects. The study aims to tune four main parameters involved in the PSO implementation in a typical economic load dispatch problem. The experimental results illustrate the best values to be chosen for PSO's different parameters. The various ranges of a penalty factor were tested and the paper determines which range of values is best suited in the tested economic dispatch problem.

Key concepts: Particle swarm optimization, Economic dispatch, Range (aeronautics), Mathematical optimization, Electric power system, Computer science, Point (geometry), Function (biology)

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