JOURNAL ARTICLE

Economic load dispatch using a differential particle swarm optimization

Abstract

In this paper a novel differential particle swarm optimization (DPSO) algorithm is proposed. The proposed algorithm includes an additional term in the velocity equation of the classical particle swarm optimization (PSO) algorithm. The additional term in DPSO is the experience of a particle selected randomly from the swarm for a target particle. The difference of the selected and the target particle is scaled and added to the velocity equation which try the particle to escape from trapping into local minima. The proposed algorithm has been used to solve economic load dispatch (ELD) problem of the IEEE 10 unit system. The results obtained by DPSO have been validated by comparing the results obtained by PSO.

Keywords:
Particle swarm optimization Economic dispatch Maxima and minima Multi-swarm optimization Mathematical optimization Swarm behaviour Term (time) Differential evolution Computer science Particle (ecology) Algorithm Mathematics Physics Electric power system

Metrics

13
Cited By
1.44
FWCI (Field Weighted Citation Impact)
32
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
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