FACTS based power flow control by using particle swarm optimization technique

This paper acquaints power flow control and power flow studies for a power system with flexible ac transmission system (FACTS) devices. The power system power flow control deals with the task of taking remedial measures against overloads and non linear loads in the system due to the occurrence of contingencies. For power flow studies, the modelings of FACTS devices are discussed. Several power flow programs are created to model the FACTS devices. The paper presents a reliable method to solve the nonlinear load flow equations by developing a Newton-Raphson method with UPFC. The particle swarm optimization technique (PSO) is on of the evolutionary optimization method which is used to reschedule the generation. Power flow study programming was accomplished by using MATLAB. PSO method is implemented along with UPFC device to reschedule the generators to maximize net savings. Convergence test studies have been performed on standard IEEE 30-bus network to show that the proposed method is effective and robust under various conditions like with and without UPFC FACTS devices.