Enhancement of State Estimation Power System Based Hybrid Algorithm

with the growing of power system, monitoring has become more complexity. State estimation is a beneficial tool, which improve in monitoring of a power system. The main objective aim of all power state estimation is to determine the best estimated state for power system variables by using statistical methods. Despite, The complexity and development of electrical network, the measurements still inaccurate due to the tolerance of measurement devices. This make the need of enhancing and optimizing the state estimation of power system is become an important topic for researchers. In this paper a hybrid algorithm has been done using WLS, WLAV state estimation methods and Particle Swarm Optimization (PSO) was used. IEEE 14-bus has been tested using the proposed algorithm (PSO-WLS). The experimental results show its effectiveness of the proposed algorithm to enhancing state estimation of power system.