A novel planning‐attack‐reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency
2019; Wiley; Volume: 30; Issue: 2 Linguagem: Inglês
10.1002/2050-7038.12199
ISSN2050-7038
AutoresHongkun Wang, Shouxiang Wang, Lu Yu, Ping Hu,
Tópico(s)Infrastructure Resilience and Vulnerability Analysis
ResumoInternational Transactions on Electrical Energy SystemsVolume 30, Issue 2 e12199 RESEARCH ARTICLE A novel planning-attack-reconfiguration method for enhancing resilience of distribution systems considering the whole process of resiliency Hongkun Wang, Hongkun Wang orcid.org/0000-0001-9861-2547 Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin, China College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, ChinaSearch for more papers by this authorShouxiang Wang, Corresponding Author Shouxiang Wang sxwang@tju.edu.cn Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin, China Correspondence Shouxiang Wang, Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin 300072, China. Email: sxwang@tju.edu.cnSearch for more papers by this authorLu Yu, Lu Yu Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin, ChinaSearch for more papers by this authorPing Hu, Ping Hu State Grid Hebei Electric Power Co, Ltd, Shijiazhuang, ChinaSearch for more papers by this author Hongkun Wang, Hongkun Wang orcid.org/0000-0001-9861-2547 Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin, China College of Mechanical and Electrical Engineering, Shihezi University, Shihezi, ChinaSearch for more papers by this authorShouxiang Wang, Corresponding Author Shouxiang Wang sxwang@tju.edu.cn Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin, China Correspondence Shouxiang Wang, Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin 300072, China. Email: sxwang@tju.edu.cnSearch for more papers by this authorLu Yu, Lu Yu Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin, ChinaSearch for more papers by this authorPing Hu, Ping Hu State Grid Hebei Electric Power Co, Ltd, Shijiazhuang, ChinaSearch for more papers by this author First published: 13 October 2019 https://doi.org/10.1002/2050-7038.12199Citations: 5Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary To enhance the resilience of distribution systems and fight against extreme disasters, a novel planning-attack-reconfiguration optimization method is proposed in this paper. Firstly, according to the processes of prevention, defence, and restoration for a resilient distribution system through disruption, the novel resilience evaluation indicators are presented, which include the node degree of distributed generation (DG) bus, survival rate, and recovery ability. Secondly, a novel planning-attack-reconfiguration optimization model is developed to improve the resilience of distribution systems. In DG planning stage, the multi-objective planning model is formulated, which includes the minimization of the total cost of investment and operation, and the maximization of the node degree of DG buses for critical loads. In the attack stage, a clear worst case of N-k contingencies on the basis of generalized nodes is presented to reduce the computational complexity. Then, the post-disaster network reconfiguration model is formulated to maximize the restoration rate of critical loads (RRCL). Finally, the proposed method is illustrated by the case study on PG&E 69-bus distribution system. The simulation results indicate that all the RRCL can reach about 90% in the four multipoint fault scenarios. Meanwhile, other evaluation indicators are greatly improved. It is shown that the resilience of distribution systems can be dramatically enhanced by the proposed method. Citing Literature Volume30, Issue2February 2020e12199 RelatedInformation
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