JOURNAL ARTICLE

Multiple STATCOM Allocation and Sizing Using Particle Swarm Optimization

Abstract

This study shows step by step the application of the particle swarm optimization (PSO) method to solve the problem of optimal allocation and sizing of multiple static compensators (STATCOM) in a medium size power network (45 bus system, part of the Brazilian power network). The PSO is proposed as an alternative methodology for traditional heuristic approaches and complicated mixed integer linear and non linear programming methods. Simulation results show the suitability of the PSO technique in finding multiple optimal solutions to the problem (Pareto front) with reasonable computational effort. As a part of this study, the optimal setting of PSO parameters is investigated and different power system load conditions are tested to determine the impact over the location and size of each STATCOM unit

Keywords:
Particle swarm optimization Sizing Mathematical optimization Integer programming Heuristic Computer science Linear programming Electric power system Pareto optimal Optimal allocation Power (physics) Multi-swarm optimization Multi-objective optimization Mathematics

Metrics

35
Cited By
2.69
FWCI (Field Weighted Citation Impact)
24
Refs
0.91
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
Islanding Detection in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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