PMID- 36015807 OWN - NLM STAT- MEDLINE DCOM- 20220829 LR - 20220829 IS - 1424-8220 (Electronic) IS - 1424-8220 (Linking) VI - 22 IP - 16 DP - 2022 Aug 12 TI - Two-Stage Stochastic Optimization for the Pre-Position and Reconfiguration of Microgrid Defense Resources against Natural Disasters. LID - 10.3390/s22166046 [doi] LID - 6046 AB - With the aggravation and evolution of global warming, natural disasters such as hurricanes occur more frequently, posing a great challenge to large-scale power systems. Therefore, the pre-position and reconfiguration of the microgrid defense resources by means of Mobile Energy Storage Vehicles (MEVs) and tie lines in damaged scenarios have attracted more and more attention. This paper proposes a novel two-stage optimization model with the consideration of MEVs and tie lines to minimize the shed loads and the outage duration of loads according to their proportional priorities. In the first stage, tie lines addition and MEVs pre-position are decided prior to a natural disaster; in the second stage, the switches of tie lines and original lines are operated and MEVs are allocated from staging locations to allocation nodes according to the specific damaged scenarios after the natural disaster strikes. The proposed load restoration method exploits the benefits of MEVs and ties lines by microgrid formation to pick up more critical loads. The progressive hedging algorithm is employed to solve the proposed scenario-based two-stage stochastic optimization problem. Finally, the effectiveness and superiority of the proposed model and applied algorithm are validated on an IEEE 33-bus test case. FAU - Jiang, Bo AU - Jiang B AUID- ORCID: 0000-0002-9650-4080 AD - College of Systems Engineering, National University of Defense Technology, Changsha 410073, China. AD - Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology, Changsha 410073, China. FAU - Lei, Hongtao AU - Lei H AD - College of Systems Engineering, National University of Defense Technology, Changsha 410073, China. AD - Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology, Changsha 410073, China. FAU - Huang, Shengjun AU - Huang S AUID- ORCID: 0000-0002-4703-9020 AD - College of Systems Engineering, National University of Defense Technology, Changsha 410073, China. AD - Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology, Changsha 410073, China. FAU - Li, Wenhua AU - Li W AD - College of Systems Engineering, National University of Defense Technology, Changsha 410073, China. AD - Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology, Changsha 410073, China. FAU - Jiao, Peng AU - Jiao P AD - College of Systems Engineering, National University of Defense Technology, Changsha 410073, China. AD - Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology, Changsha 410073, China. LA - eng GR - 71901210/National Natural Science Foundation of China/ GR - 61973310/National Natural Science Foundation of China/ GR - 2022JJ10069/Hunan Provincial Natural Science Foundation of China/ PT - Journal Article DEP - 20220812 PL - Switzerland TA - Sensors (Basel) JT - Sensors (Basel, Switzerland) JID - 101204366 SB - IM MH - Algorithms MH - *Natural Disasters PMC - PMC9414658 OTO - NOTNLM OT - microgrid reconfiguration OT - mobile energy storage vehicle OT - stochastic programming OT - tie line COIS- The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. EDAT- 2022/08/27 06:00 MHDA- 2022/08/30 06:00 PMCR- 2022/08/12 CRDT- 2022/08/26 01:45 PHST- 2022/07/12 00:00 [received] PHST- 2022/08/07 00:00 [revised] PHST- 2022/08/09 00:00 [accepted] PHST- 2022/08/26 01:45 [entrez] PHST- 2022/08/27 06:00 [pubmed] PHST- 2022/08/30 06:00 [medline] PHST- 2022/08/12 00:00 [pmc-release] AID - s22166046 [pii] AID - sensors-22-06046 [pii] AID - 10.3390/s22166046 [doi] PST - epublish SO - Sensors (Basel). 2022 Aug 12;22(16):6046. doi: 10.3390/s22166046.