Model‐based Predictive Control for Damping Electromechanical Oscillations in Power Systems

Abstract

Electromechanical oscillations mean relative motions of generator shafts and resultant fluctuations of electrical variables. In modern large‐scale electrical power systems, long transmission distances over weak grids, highly variable generation patterns, heavy loading, and so on, tend to increase the probability of appearance of sustained wide area electromechanical oscillations. Consequently, most researches on damping oscillations focus on developing different controllers, like power system stabilizers (PSSs), and thyristor controlled series compensators (TCSCs), in order to improve system damping. The models of damping controllers considered in the chapter are described to facilitate readers' understanding of the developed model predictive control (MPC) controllers. The control rules are determined in off‐line studies using time domain simulations such as Prony or Eigen analysis, and remain fixed in practice. The chapter shows that the hierarchical MPC is more robust than the distributed one because of its better performances in different test cases.