Optimal Location of Upfc for Voltage Stability Enhancement Using Mpso and Eci Algorithm for Power Flow Analysis

Today’s changing electric power systems create a growing need for flexibility, reliability, fast response and accuracy in the fields of electric power generation, transmission, distribution and consumption. Power system networks are complex systems that are nonlinear, disturbances and faults. It can be accomplished by improving the voltage profile, enhancement of voltage stability and by reducing the power losses. At present voltage stability problem becomes more serious in power systems. Flexible AC Transmission System (FACTS) devices are an alternate solution for those problems. FACTS have made the power systems operation more flexible and secure. Amongst the several FACTS controllers, the Unified Power Flow Controller (UPFC) is most effective to improve the enhancement of voltage stability and reduces the power loss. A new model is proposed in this thesis to improve existing power-based model by using the Norton Equivalent Theorem. The proposed model can be integrated with the Equivalent Current Injection (ECI) power flow model easily. By ECI algorithm, it is much quickly and precisely to implement power flow calculations. Modified Particle Swarm Optimization (PSO) technique was inspired by the social behavior of bird flocking and fish schooling. PSO is an evolutionary computation technique that can be used to solve the Unified Power Flow Controller (UPFC) sizing and allocation problem in a power network. Finally simulation shows the optimal location and capacity of new UPFC with ECI model to enhance power system voltage stability by using PSO. The proposed method demonstrates the improvement of voltage stability margin. Index Terms — Voltage stability, Unified Power Flow Controller (UPFC), Equivalent –Current Injection (ECI), Modified particle swarm optimization (MPSO)