Distribution Resilience Enhancement Considering the Multi-Stage Evolutionary Characteristics of Data Centers

Distribution Resilience Enhancement Considering the Multi-Stage Evolutionary Characteristics of Data Centers | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL IET Generation, Transmission & Distribution This is a preprint and has not been peer reviewed. Data may be preliminary. 12 May 2026 V1 Latest version Share on Distribution Resilience Enhancement Considering the Multi-Stage Evolutionary Characteristics of Data Centers Authors : Rong Wei 0009-0005-2524-8250 [email protected] , Song Meng 0000-0003-3847-4159 [email protected] , Wenchao Bai [email protected] , and tianyi zhang [email protected] Authors Info & Affiliations https://doi.org/10.22541/authorea.15003103/v1 14 views 5 downloads Contents Abstract Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The increasing frequency of extreme disasters has made the enhancement of distribution system resilience an urgent priority. Large-scale interconnected data centers (IDCs) and their uninterruptible power supplies (UPSs) can serve as flexible regulation resources to assist in distribution network load restoration. This paper proposes a resilience enhancement method for distribution networks that incorporates the multi-stage evolutionary characteristics of IDCs and UPSs. First, considering the differentiated task attributes and workload migration capabilities of data centers, a post-disaster workload scheduling and operational model for IDCs is developed. Second, in conjunction with the sequential restoration process of the distribution network, the post-disaster operational states of IDCs are divided into three stages, and the interaction mechanisms and flexibility support capabilities between IDCs and the distribution network at different restoration stages are explicitly characterized. Based on this, a collaborative bi-level resilience enhancement model involving the distribution system operator (DSO) and the data center operator (DCO) is constructed. At the upper level, the DSO determines the sequential restoration strategy of the distribution network; at the lower level, the DCO flexibly schedules IDC operations and dispatches surplus UPS capacity to support network restoration.In addition, a penalty-based iterative algorithm is adopted to solve the nonconvex bi-level problem. Information & Authors Information Version history V1 Version 1 12 May 2026 Collection IET Generation, Transmission & Distribution Keywords Distribution Planning and Operation power distribution reliability power distribution faults power distribution demand side management distribution networks power system faults power system restoration power systems power system security power system dynamic stability power system control power system analysis computing power system simulation power system stability stochastic processes transient analysis delay systems discrete time systems energy storage power system reliability power system planning power system analysis computing reliability Distribution Planning and Operation WAMS / WAC / PMU load forecasting Power System Computation power system reliability Renewables and Storage Transformers, Transmission Lines and Cables power system economics condition monitoring asset management energy storage power system faults power system restoration power system reliability power system management distribution networks distributed power generation demand side management distribution networks AC-AC power convertors AC-DC power convertors Distribution Planning and Operation WAMS / WAC / PMU load forecasting Power System Computation power system reliability Renewables and Storage Transformers, Transmission Lines and Cables power system economics condition monitoring asset management power system reliability power system planning power system analysis computing reliability Distribution Planning and Operation power distribution reliability power distribution faults power distribution power system dynamic stability power system control power system analysis computing power system simulation power system stability stochastic processes transient analysis delay systems discrete time systems energy storage power system faults power system restoration power systems power system security Authors Affiliations Rong Wei 0009-0005-2524-8250 [email protected] Southeast University, Nanjing, China View all articles by this author Song Meng 0000-0003-3847-4159 [email protected] Southeast University, Nanjing, China View all articles by this author Wenchao Bai [email protected] Southeast University, Nanjing, China View all articles by this author tianyi zhang [email protected] Southeast University, Nanjing, China View all articles by this author Metrics & Citations Metrics Article Usage 14 views 5 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Rong Wei, Song Meng, Wenchao Bai, et al. Distribution Resilience Enhancement Considering the Multi-Stage Evolutionary Characteristics of Data Centers. Authorea . 12 May 2026. DOI: https://doi.org/10.22541/authorea.15003103/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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