Artificial neural network application for voltage control and power flow control in power systems with UPFC

Voltage control and stability are important aspects in the day to day operation of modern stressed power system networks. Unified power flow controller (UPFC) is an important FACTS device, which can simultaneously control the voltage at a bus and the active and reactive power flow through the transmission line to which it is connected. The variables of the UPFC must be controlled in accordance with system load conditions for stable operation of the power system. Artificial neural network (ANN) is an important tool which gives acceptable solution in real time. In this paper a back propagation feed forward artificial neural network is developed for evaluating the output variables of UPFC for different loading conditions of a 24 bus EHV Indian power system.