A Service Restoration Methodology for Active Distribution Network Based on Joint Robust Optimization of Mobile Energy Storage and Islanding

Mobile energy storage (MES) with flexible regulation and dynamic transfer capabilities can provide proactive support to facilitate the safe operation of active distribution networks (ADN). To address the challenge of emergency power supply during extreme events, a novel service restoration method for ADN is proposed, which considers the joint robust optimization of islanding power supply and MES scheduling with repair crews. First, the Davidson-WebertAkcelik traffic impedance combination function is proposed based on the mapping relationship between MES stations and roadway nodes. This function analyzes the roadway conditions of MES under an extreme event by highlighting the flexibility of MES as an emergency power source in ADN service restoration. Second, A Boolean variable-based load outage time model is established to quantify multiple switching operations of loads under power balance constraints in the service restoration. Third, a robust optimization model for islanding and MES considering roads and lines repair crews is proposed to improve ADN service restoration capability, where road repair crews (RRCs) restore road to enhance MES mobility, and line repair crews (LRCs) repair power lines to reduce MES power demand. The solution can be obtained through interactive iterative optimization using the Column and Constraint Generation (C&CG) algorithm. Finally, the coupling system including modified IEEE 33-node system and 17-node road network is simulated to demonstrate the effectiveness and feasibility of the proposed method.