Resilient Preparation and Restoration Strategy for Integrated Electric-Gas Distribution Systems Considering Mobile Energy Storage

被引:0
|
作者
Wang, Han [1 ]
Bai, Cong [1 ]
Wang, Zhaoyu [1 ]
Roychowdhury, Rajarshi [2 ]
机构
[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA
[2] Elect Power Res Inst, Grid Ops & Planning, Knoxville, TN 37932 USA
基金
美国国家科学基金会;
关键词
Dispatching; Uncertainty; Transportation; Resilience; Stochastic processes; Maintenance engineering; Electricity; Accuracy; Fluid flow; Power systems; IEGDS; MES; unified MES assigning and dispatching strategy; distributed solution method; UNBALANCED DISTRIBUTION-SYSTEMS; SERVICE RESTORATION; RECONFIGURATION; DISPATCH;
D O I
10.1109/TSG.2025.3526778
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1127 / 1141
页数:15
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