Application of AI technique for optimal location of UPFC device

The focus of this thesis is a FACTS device known as the Unified Power Flow Controller (UPFC). With its unique capability to control simultaneously real and reactive power flows on a transmission line as well as to regulate voltage at the bus where it is connected, this device creates a tremendous quality impact on power system stability. These features become even more significant knowing that the UPFC can allow loading of the transmission lines close to their thermal limits, forcing the power to flow through the desired paths. This will give the power system operators much needed flexibility in order to satisfy the demands that the deregulated power system will impose. The application of Particle Swarm Optimization (PSO) technique is applied to find optimal location of Flexible AC Transmission System (FACTS) devices to achieve maximum system loadability. While finding the optimal location, thermal limit for the lines and voltage limit for the buses are taken as constraints. The type of FACTS devices Unified Power Flow Controller (UPFC) is considered. The optimizations are performed on three parameters namely the location of UPFC device and their setting. Simulations are performed on IEEE 6 bus system for optimal location of UPFC device and the results obtained are encouraging and will be useful in electrical restructuring