Article ID Journal Published Year Pages File Type
399886 International Journal of Electrical Power & Energy Systems 2012 4 Pages PDF
Abstract

This paper presents Particle Swarm Optimization Algorithm, with dynamic weights, applied to reduce the real power loss in a system. Particle Swarm Optimization with detailed study on weights for particle movements is used. Generator bus voltages, transformer tap positions and switch-able shunt capacitor banks are used as variables to control the reactive power flow. Particle Swarm Optimization has been applied to IEEE 6 bus system to present the case. The proposed dynamic weights show better, fast and consistent results with higher rate of convergence.

► Particle movement in PSO is made dynamic. ► The weights are calculated at run time. ► The convergence through this method is very fast. ► Results obtained are fast and consistent. ► Voltage profile is improved.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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