SOLUTION OF OPTIMAL POWER FLOW BASED ON COMBINED ACTIVE AND REACTIVE COST USING PARTICLE SWARM OPTIMIZATION

Thermal power generators have both active power (AP) and reactive power (RP) requirement to meet up the total power demand. Considering the total power demand such generators supply the essential RP along with the AP. Consequently by considering the reactive power demand it is also an important to consider its cost along with the cost based on active power generation. In this paper, the generalised mathematical functions for the cost considering the RP are formulated and incorporated with the cost function based on active power generation. Particle Swarm Optimization (PSO) algorithm has been applied to solve Optimal power flow (OPF) problem (OPFP). The proposed work has been examined and tested on IEEE-9 bus system with different objectives such as total fuel cost based both active and reactive power generation, transmission losses, voltage profile improvement. The results drawn show its validity and effectiveness