Building resilient cyber-physical power systems: an approach using vulnerability assessment and resilience management
Abstract: Power systems are undergoing a profound transformation towards cyber- physical systems. Disruptive changes due to energy system transition and the complexity of the interconnected systems expose the power system to new, unknown, and unpredictable risks. To identify the critical points, a vulnerability assessment was conducted, involving experts from the power as well as the information and communication technologies (ICT) sectors. Weaknesses were identified, e. g., the lack of policy enforcement, which are worsened by the unreadiness of the actors involved. Due to the complex dynamics of ICT, it is infeasible to keep a complete inventory of potential stressors to define appropriate preparation and prevention mechanisms. Therefore, we suggest applying a resilience management approach to increase the resilience of the system. It aims at better riding through failures rather than building higher walls. We conclude that building resilience in cyber-physical power systems is feasible an
- Alternative title
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Die Gestaltung resilienter cyber-physischer Energiesysteme: ein Ansatz basierend auf Vulnerabilitätsanalyse und Resilienzmanagement
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Veröffentlichungsversion
begutachtet (peer reviewed)
In: TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis / Journal for Technology Assessment in Theory and Practice ; 29 (2020) 1 ; 23-29
- Classification
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Politik
- Event
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Veröffentlichung
- (where)
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Mannheim
- (who)
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SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
- (when)
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2020
- Creator
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Tapia, Mariela
Thier, Pablo
Gößling-Reisemann, Stefan
- DOI
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10.14512/tatup.29.1.23
- URN
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urn:nbn:de:0168-ssoar-68920-3
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tapia, Mariela
- Thier, Pablo
- Gößling-Reisemann, Stefan
- SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
Time of origin
- 2020
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