A Stochastic Adaptive Robust Optimization Approach for the Offering Strategy of a Virtual Power Plant

摘要: This paper proposes a novel approach for the offering strategy of virtual power plant that participates in day-ahead and real-time energy markets. The comprises conventional plant, wind-power unit, storage facility, flexible demands, which participate markets as single entity order to optimize their resources. We model uncertainty production market prices using confidence bounds scenarios, respectively, allows us formul-ate strategic problem stochastic adaptive robust optimization model. Results case study are provided show applicability proposed approach.