A Brief Comparative Study of Uncertainty Modeling Techniques in Power System

Modern power systems tend to have large penetrations of renewable energy resources (RERs). Since power generation from these resources is intermittent due to uncertain climate conditions, therefore their rising integration poses several challenges for power system engineers to ensure stable grid operation. To overcome these challenges, the impact of such variable sources on the system needs to be judiciously analyzed. This paper presents different approaches to handle uncertain parameters related to RERs, particularly solar and wind energies, with a critical assessment. Many models and approaches are critically assessed, particularly focusing on past and recent techniques applied to determine the available renewable energy at a specific interval of time. Moreover, the relative features of various models are compared while highlighting their potential applications. The discussion presented in this work will support researchers in choosing appropriate models for simulation studies in power systems with high penetrations of distributed RERs. It will also help outline the needs and requirements of novel models for uncertainty modeling in energy systems.