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Modeling and evaluating nodal resilience of multi-energy systems under windstorms
Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China..
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 270, article id 115136Article in journal (Refereed) Published
Abstract [en]

With the growing frequency and extent of extreme weather events, the resilient operation of multi-energy systems (MESs) has drawn attention nowadays. However, there is little study on the methodology with a set of key indicators to quantify the resilience of MESs with the consideration of the impacts of extreme weather. To address the problem, this paper proposes a framework to evaluate the time-dependent resilience of MESs considering energy interactions during extreme weather events, such as windstorms. Firstly, the multi-phase performance curve is utilized to describe the response behavior of MESs at different phases under the impacts of windstorms. Secondly, a service-based optimal energy flow model is developed to minimize the consequences caused by windstorms through the coordination among different energy subsystems. In order to model the chaotic failures and restoration of components, the Monte-Carlo simulation technique is applied. Furthermore, nodal resilience metrics for different energy carriers are proposed to quantify the resilience in MESs. Numerical studies demonstrate the capability of the proposed technique to quantify the resilience of MESs under windstorms. The results show that the resilience performance level of MESs can differ in different regions with the impacts of windstorms. The findings can provide a useful reference for system operators to constitute targeted resilience improvement measures.

Place, publisher, year, edition, pages
Elsevier BV , 2020. Vol. 270, article id 115136
Keywords [en]
Multi-energy systems, Windstorms, Optimal energy flow model, Nodal resilience, Monte-Carlo simulation method
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-278459DOI: 10.1016/j.apenergy.2020.115136ISI: 000540433000019Scopus ID: 2-s2.0-85085032103OAI: oai:DiVA.org:kth-278459DiVA, id: diva2:1454131
Conference
11th International Conference on Applied Energy (ICAE), Applied Energy Symposium - Low Carbon Cities and Urban Energy Systems (CUE), AUG 12-15, 2019, OCT 16-18, 2019, Vasteras, Sweden, Xiamen, China
Note

QC 20200714

Available from: 2020-07-14 Created: 2020-07-14 Last updated: 2022-09-26Bibliographically approved

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Yan, Jinyue

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CiteExportLink to record
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Citation style
  • apa
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Output format
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