Loss Power Minimization Using Particle Swarm Optimization

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)...

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Bibliographic Details
Main Author: Esmin, A.A.A.
Format: Conference Proceeding
Language:English
Subjects:
Birds
Load flow
Minimization methods
Nonlinear equations
Particle swarm optimization
Power system modeling
Power systems
Reactive power
System testing
Voltage
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Summary: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.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2006.246945