Title :
A hybrid particle swarm optimization applied to loss power minimization
Author :
Esmin, Ahmed A A ; Lambert-Torres, Germano ; De Souza, Antônio C Zambroni
Author_Institution :
Fed. Univ. at Itajuba, Brazil
fDate :
5/1/2005 12:00:00 AM
Abstract :
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.
Keywords :
combinatorial mathematics; evolutionary computation; load flow; minimisation; reactive power; IEEE 118-bus system; evolutionary computation; hybrid particle swarm optimization; nonlinear optimization problem; optimal power flow; power loss minimization; shunt reactive power compensation; tangent vector technique; voltage instability; Birds; Control systems; Load flow; Nonlinear equations; Particle swarm optimization; Power generation; Power system analysis computing; Power systems; Reactive power; Voltage; Evolutionary computation; loss power minimization; nonlinear optimization problem; optimal power flow (OPF); particle swarm optimization (PSO);
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.846049