Adaptive feedback linearization based HVDC damping control paradigm for power system stability enhancement

This research work proposes an application of conjugate gradient algorithm for optimization of adaptive Feedback Linearization Control (FBLC) strategy for damping power system oscillations through HVDC link. The nonlinear supplementary control scheme is based on real-time optimized NeuroFuzzy identification of the power system dynamics. A self-tuned (FBLC) is employed to derive appropriate control law to modulate the real power flow through HVDC system and improve its damping. Validation of the performance of control scheme is carried out through different fault situations of two-area test power system and bench-marked against the gradient descent based FBLC. The results obtained from the proposed control strategy exhibit significant stability improvement of the power system in transient-state and steady-state conditions.