| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Quantifiable resilience analytics of power grids by simulating power flows |
| Authors: | Hupp, Daniel Hruz, Tomas Mock, Ralf Günter |
| et. al: | No |
| Proceedings: | Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference |
| Editors of the parent work: | Baraldi, Piero Di Maio, Francesco Zio, Enrico |
| Conference details: | 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), Venice, Italy, 1-5 November 2020 |
| Issue Date: | Nov-2020 |
| Publisher / Ed. Institution: | Research Publishing |
| Publisher / Ed. Institution: | Singapore |
| ISBN: | 978-981-14-8593-0 |
| Language: | English |
| Subjects: | Resilience analytics; Resilience metric; Power grids; Optimal power flow |
| Subject (DDC): | 338.927: Environmental economics and sustainable development 621.3: Electrical, communications, control engineering |
| Abstract: | New challenges are expected to emerge for the operation of power grids and associated power flows from the growing use of renewable energies and the increasing demand of electricity due to the electrification of mobility. Current stability considerations of power grid under normal operating conditions are presumably insufficient to handle contingencies. For this, the concept of resilience analysis offers advantages to study the operation under the influence of disturbances. However, there is still a lack of suitable approaches. This includes a lack of metrics for making quantitative statements about the grid resilience. This paper develops a qualitative concept of power grid resilience and complements it by a quantitative analysis method, which uses the modeling and simulation of power flows. This concept is illustrated by a case study. So, this paper makes a contribution to provide a suitable approach and a quantitative metric for power grid resilience. |
| URI: | https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf https://digitalcollection.zhaw.ch/handle/11475/21015 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Sustainable Development (INE) |
| Published as part of the ZHAW project: | Resilienz und Effizienz intelligenter und nachhaltiger Stromnetze: mesoskopische Modellierung und stochastische Simulation |
| Appears in collections: | Publikationen School of Engineering |
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Hupp, D., Hruz, T., & Mock, R. G. (2020). Quantifiable resilience analytics of power grids by simulating power flows [Conference paper]. In P. Baraldi, F. Di Maio, & E. Zio (Eds.), Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing. https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf
Hupp, D., Hruz, T. and Mock, R.G. (2020) ‘Quantifiable resilience analytics of power grids by simulating power flows’, in P. Baraldi, F. Di Maio, and E. Zio (eds) Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Singapore: Research Publishing. Available at: https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf.
D. Hupp, T. Hruz, and R. G. Mock, “Quantifiable resilience analytics of power grids by simulating power flows,” in Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, Nov. 2020. [Online]. Available: https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf
HUPP, Daniel, Tomas HRUZ und Ralf Günter MOCK, 2020. Quantifiable resilience analytics of power grids by simulating power flows. In: Piero BARALDI, Francesco DI MAIO und Enrico ZIO (Hrsg.), Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference [online]. Conference paper. Singapore: Research Publishing. November 2020. ISBN 978-981-14-8593-0. Verfügbar unter: https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf
Hupp, Daniel, Tomas Hruz, and Ralf Günter Mock. 2020. “Quantifiable Resilience Analytics of Power Grids by Simulating Power Flows.” Conference paper. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, edited by Piero Baraldi, Francesco Di Maio, and Enrico Zio. Singapore: Research Publishing. https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf.
Hupp, Daniel, et al. “Quantifiable Resilience Analytics of Power Grids by Simulating Power Flows.” Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, edited by Piero Baraldi et al., Research Publishing, 2020, https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf.
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