Resilience-Promoting Decentralized Robust Synthetic Restoration Strategy for Regional Integrated Energy System

Previous studies focused on meeting the demand of traditional single-energy loads by dispatching resources within a regionally integrated energy system (RIES), while overlooking the growing dominance of multi-energy loads. Meanwhile, uncertainty and communication link failures caused by contingencies gradually gain attention. Therefore, we propose a decentralized robust synthetic restoration strategy (SRS) that combines the integrated demand response (IDR) program and repair order to enhance the resilience of RIES. Considering the uncertainty of the repair time of the faulty components, we formulate the problem as a two-stage robust optimization model to minimize the restoration cost and interruption duration. We propose a decentralized approach to decouple the model based on different stakeholders to alleviate the communication tension. Meanwhile, we develop a specific solution procedure that considers the interference of binary variables and potential communication link failures in the decentralized solution. The results show that the proposed SRS improves the restoration cost anticipatively and reduces the interruption duration. The robust model can obtain restoration results for different degrees of conservatism. The proposed decentralized approach is reliable and scalable.