Resilient Preparation and Restoration Strategy for Integrated Electric-Gas Distribution Systems Considering Mobile Energy Storage
Han Wang, Cong Bai, Zhaoyu Wang, Rajarshi Roychowdhury
Abstract
Extreme events can interrupt both electricity and gas supply in an integrated electric-gas distribution system (IEGDS). This work proposes a two-stage resilient preparation and restoration strategy to efficiently restore both electric and gas load services in IEGDS after extreme events considering the utilization of mobile energy storage (MES). To minimize the load loss under the damage uncertainty and limited MES resources, a unified MES assigning and dispatching strategy is proposed to optimally coordinate the numbers and locations of pre-event and post-event MES dispatching. To address the MES assigning and pre-event dispatching problems under the damage uncertainty, a two-stage stochastic optimization model is developed, which is efficiently solved by a proposed selective progressive hedging (PH) algorithm. The out-of-sample analysis indicates that the proposed methods can achieve a 53.10% reduction in average load loss compared to scenarios without MES. In addition, the proposed unified MES assigning and dispatching strategy outperforms the preparation-only and restoration-only MES dispatching strategies by reducing 2.65% and 7.13% of average load loss, respectively. Moreover, the proposed selective algorithm can reduce 7.23% to 30.53% of the computational burden compared to the conventional PH algorithm.