Power System Stabilty Enhancement Using Adaptive NeuroFuzzy Control for UPFC

Interconnected power system is a dynamic system and consistently exposed to disturbances. In the absence of inherited damping torque, these disturbances result in Low Frequency Oscillations, which can endanger the system security and stable operation. In order to increase the network stability, the exploitation of flexible AC transmission systems devices has become more and more significant. The Unified Power Flow Controller (UPFC) can effectively damp power system oscillations with addition of supplementary controller. This research work proposes Takagi Sugeno Kang (TSK) fuzzy system based Adaptive NeuroFuzzy Controller (ANFC) for UPFC using conjugate gradient algorithm which makes the system computationally efficient with less memory requirement and fast convergence speed. The effectiveness of control scheme is studied using simulations of two machines test system with different test scenarios. Simulation results and performance comparison with PID controller confirms the effectiveness of proposed supplementary control scheme to enhance transient stability.