A hybrid particle swarm optimization applied to loss power minimization

This paper presents a particle swarm optimization (PSO) as a tool for loss reduction study. This issue can be formulated as a nonlinear optimization problem. The proposed application consists of using a developed optimal power flow based on loss minimization function by expanding the original PSO. T...

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Bibliographic Details
Published in:IEEE transactions on power systems 2005-05, Vol.20 (2), p.859-866
Main Authors: Esmin, A.A.A., Lambert-Torres, G., Zambroni de Souza, A.C.
Format: Article
Language:English
Subjects:
Birds
Buses (vehicles)
Compensation
Control systems
Evolutionary computation
Instability
Load flow
loss power minimization
Mathematical analysis
Minimization
Nonlinear equations
nonlinear optimization problem
optimal power flow (OPF)
Optimization
Particle swarm optimization
particle swarm optimization (PSO)
Power generation
Power system analysis computing
Power systems
Reactive power
Voltage
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Description
Summary:This paper presents a particle swarm optimization (PSO) as a tool for loss reduction study. This issue can be formulated as a nonlinear optimization problem. The proposed application consists of using a developed optimal power flow based on loss minimization function by expanding the original PSO. 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 with promising numerical results using the IEEE 118-bus system.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2005.846049