Research on Multi-Time-Scale Robust Economic Dispatch of Microgrid Considering Discrete Events

Abstract

Flexible on-grid/off-grid microgrids can improve the resilience of distribution grids and achieve autonomous management of distributed energy. The economic dispatch of microgrid considering the uncertainty of renewable energy can fully absorb distributed energy, ensure grid security, improve power quality, and reduce operating costs. In order to realize multi-time-scale robust economic dispatch of microgrid considering discrete events, the microgrid dispatching models and results using different uncertainty analysis methods are compared and analyzed. It is proved that the data-driven distributed robust optimization method can take into account the model’s economy and conservatism at the same time. Aiming at the improvement of Day-ahead-Intraday-Real-time forecast accuracy of renewable energy and load, based on the model predictive control theory, a rolling scheduling strategy for multi-time scale collaborative optimization of microgrid is designed. The proposed optimal scheduling strategy can effectively deal with discrete events in the microgrid and realize the safe and economical operation of the microgrid.