Resilience-Oriented Robust Scheduling for Multi-energy Microgrids with Importance based Load Classification

With the increasing randomness of new energy output and the complexity of multi-energy system composition, Multi-energy Microgrid (MEMG) face more complex challenges when encountering fault conditions. Therefore, this paper addresses these challenges by studying a resilient operation method for MEMG, considering external energy supply interruptions. Firstly, a sequential load-shedding model for electrical and thermal loads in MEMG is constructed. Secondly, considering the uncertainties of PV output and external energy network interruption durations, a resilience-oriented robust scheduling model with importance-based load classification is developed to minimize load shedding losses in the microgrid. The model is solved using GAMS software. Case study results show that the proposed robust resilient scheduling model can achieve sequential load shedding during external supply interruptions, providing valuable insights for the resilient operation of ME MG.