Bi-Level Robust Coordinated Restoration Strategy for Multi-Energy Networked Microgrids With High Shares of Renewables

This paper proposes a robust coordinated restoration strategy to enhance the operational resilience of multi-energy networked microgrids (MENMGs) with high shares of renewables. Firstly, a polyhedral security region (SR) model with uncertain boundaries is formulated considering spatiotemporal uncertainties of correlated renewable energy sources (RESs), and probabilistic nodal security margins of MENMGs during restoration can be quantified using copula-based chance constraint programming. Then, a dynamic topology reconfiguration strategy is proposed for efficient system restoration via flexible multi-energy load transfer from electricity-gas interactions and adjacent microgrids. Further-more, a bi-level robust restoration method is developed to determine optimal recovery sequences of microgrids and load pickup under uncertain security margins. Case studies on a typical MENMG system demonstrate that, compared with traditional restoration methods, the proposed strategy can reduce the recovery time by at least 30.77%.