STATE ESTIMATION AND POWER LOSS MINIMIZATIONOF PESCO GRIDUSING NEWTON RAPHSON AND PARTICLE SWARM OPTIMIZATION

This study is targeted for reducing the power losses for a branch of Peshawar Electric Supply Company (PESCO), a small electric power grid in Pakistan, starting from Shahibagh and ending at Hayatabad substation. This study evaluates the current configuration of the transmission network, and then by using Particle Swarm Optimization, the best possible configuration that will ensure maximum throughput and minimum transmission and distribution losses is determined. The study is verified using Newton Raphson Method. Newton Raphson method is used to find the state of the mentioned network and then after the new configuration is proposed, the state estimation is done again to evaluate various parameters of the network and confirm its feasibility. The reconfiguration resulted from the PSO and NR methods have shown electric power losses minimization of the selected grid with 15.021%, amounting to a total of 0.3MW power loss minimization.