Small‐Signal and Transient Stability Assessment Using Data‐Driven Approaches

Knowledge of the fundamental characteristics of global oscillation modes provides valuable information about the stability of oscillatory phenomena and may help to identify machines and wind and solar photovoltaic (PV) farms and their control systems involved in the exchange of oscillating energy and the design or modification of controllers. This chapter identifies basic issues important in understanding the oscillatory performance of wind and solar PV penetrated power systems. It presents a fundamental study of the characterization of the dynamic behavior of power systems with increased renewable generation. The chapter discusses factors that affect the performance of the method. It investigates connections with other modal identification methods. The chapter also investigates data‐driven approaches that supplement information on conventional small‐signal performance. It discusses the challenges that need to be confronted for modal characterization techniques to be more widely applied by the power system community in a large‐scale power system.