A Wind-Pv-Hydropower-Hydrogen Collaborative Scheduling Method

With the increasing penetration of renewable energy sources (RESs) such as wind, photovoltaic, and hydrogen energy, microgrids face significant challenges due to the inherent intermittency and uncertainty of the output of RESs. The core difficulty in microgrid scheduling problems is how to effectively mitigate the uncertainty with operation constraints guaranteed. To tackle this issue, this paper proposes a multi-stage stochastic scheduling model based on the Scenario-Tree method. Specifically, a basic operational model of the microgrid is first established, which includes multiple stages and multiple types of energy storage devices. Secondly, a multi-stage stochastic optimization model based on the scenario tree approach is further developed, employing a real-time rolling economic dispatch strategy. Numerical tests conducted on the proposed model validate its feasibility and economic efficiency in dealing with uncertainties.