JOURNAL ARTICLE

Loss Power Minimization Using Particle Swarm Optimization

A.A.A. EsminG. Lambert-Torres

Year: 2006 Journal:   The 2006 IEEE International Joint Conference on Neural Network Proceedings Pages: 1988-1992

Abstract

This paper presents a particle swarm optimization (PSO) as an efficient approach for loss reduction study. This issue can be formulated as a nonlinear optimization problem. The proposed approach employs the PSO algorithm for optimal setting of optimal power flow (OPF) based on loss minimization (LM) function. The study is carried out in two steps. First, by using the tangent vector technique, the critical area of the power system is identified under the point of view of voltage instability. Second, once this area is identified, the PSO technique calculates the amount of shunt reactive power compensation that takes place in each bus. The proposed approach has been examined and tested on the standard IEEE 30-bus test system. The results are promising and show the effectives of the proposed approach.

Keywords:
Particle swarm optimization Minification Mathematical optimization AC power Computer science Electric power system Control theory (sociology) Tangent vector Power loss Power flow Voltage Power (physics) Tangent Mathematics Engineering Artificial intelligence

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.46
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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