Double-layer Robust Optimal Dispatching of Microgrid with flexible resources Based on Data-driven

Abstract

This paper presents a data-driven robust two-stage adaptive scheduling method for microgrid with flexible resources. Based on the data-driven microgrid scheduling optimization framework containing flexible resources, K-means clustering method is used to cluster pre-process a large number of historical data of micro-grid. A two-stage adaptive robust optimization model was established and decomposed by column constraint generation algorithm (C&CG). Finally, the simulation results verify the effectiveness of the proposed method, which reduces the operating cost of microgrid equipment and improves the utilization rate of new energy and flexible resources.