Intelligent Feedback Linearization based adaptive control paradigm for damping power system oscillations

This research work proposes an adaptive feedback linearization control strategy for nonlinear identification and control of power system oscillations through HVDC link. The supplementary control scheme is based on real-time optimized NeuroFuzzy identification of power system dynamics. A self-tuned Feedback Linearization Control (FBLC) is employed to derive appropriate control law to modulate the real power flow through HVDC link and improve the damping assistance provided by HVDC system during perturbed operating conditions. Validation of the performance of control scheme is carried out through different contingency conditions of two-area test power system. The performance of the proposed control system is bench-marked against the conventional control scheme. The simulation results obtained from the proposed control strategy exhibit significant stability improvement of power system in transient and steady-state conditions.