The Analysis of Robust Optimization Methods in the Field of Virtual Power Plants

With the global energy transition and the rapid development of renewable energy, power systems are facing unprecedented challenges. As an innovative solution integrating and coordinating distributed energy resources, the virtual power plant (VPP) has gained increasing importance in the energy market, emerging as a highly regarded field in recent years with widespread applications. In response to many popular issues within this field, this paper categorizes them into three main aspects: cooperation/competition, market transactions and bidding strategies, as well as scheduling and forecasting. It examines the applications of robust optimization methods in each of these areas. Lastly, the paper summarizes potential future research directions for robust optimization, anticipating the development of more versatile methods that can address issues in the VPP field by considering multiple factors comprehensively.