Model Prediction Adaptive Control for wide-area power system stability enhancement

Increasing additions of large-scale, non-traditional dispersed electricity generations such as those from wind farms on the traditional power systems have raised considerable concerns about the stability of power systems and adequacy of conventional stability controls. This paper presents an efficient adaptive stability control, based on step-ahead model prediction methodology, for a wide-area power system with multiple generators and distribution systems including dispersed generations. This control named Model Prediction Adaptive Control (MPAC) is built upon optimization of selected performance index defined as weighted combination of generator voltage deviation, mechanical-electrical torque mismatch, and speed incremental. The paper demonstrates effectiveness of MPAC for improvement of the wide-area power system stability. This paper offers unique stability studies for wide-area power systems subjected to disturbances and dynamic dispersed generations simultaneously. This paper presents the new concept, design, and case studies of MPAC. Comprehensive illustration of efficiency of MPAC versus existing methods is provided.