The Effectiveness of WAM Based Adaptive Supervisory Controller for Global Stabilization of Power Systems

The paper proposes an adaptive supervisory controller (ASC) to enhance the damping of inter-area oscillations using Wide Area Measurement (WAM) and accounting for the effects of signal transmission delays. The damping controller based on the mixed-sensitivity linear matrix inequality (LMI) approach with pole-placement restriction is designed. Pade approximation approach is used to model the time delays. The time delays are regarded as parametric uncertainty in the design of the ASC. The effects of time delays involved in signal transfers (to and from the controller) and variable number of ASC outputs on the effectiveness of the controller are clearly illustrated. The design of the ASC is explained in detail and its performance validated by time domain simulations on a 4-machine 2-area test system for various fault scenarios.