Reactive power control using dynamic Particle Swarm Optimization for real power loss minimization

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.