A Multi-Stage Stochastic Scheduling Method for Microgrid with Multiple Types of Energy Storage

As the penetration rate of distributed renewable energy increases year by year, microgrids, as the main loading system of distributed new energy, face great pressure to accommodate new energy. At the same time, the regulation potential of some energy storage devices on the microgrid side has not been fully utilized and has the potential to further accommodate uncertainties. In order to fully utilize the potential of multi type energy storage on the microgrid side, this paper studies a multi-stage stochastic optimization method to ensure the unpredictability of scheduling solutions. Specifically, firstly, a multi-stage descriptive basic operation model of microgrid containing multiple types of energy storage was established; Secondly, based on the basic model, a scenario-tree based multi-stage stochastic optimization model was established; Finally, based on the previous model, a real-time rolling economic dispatch model was established. Numerical tests are implemented on a real enterprise microgrid, verifying the effectiveness of the proposed method.