Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality

Jaber Valinejad; Lamine Mili; C. Natalie van der Wal; Michael  Von Spakovsky; Yijun Xu

doi:10.1109/PESGM46819.2021.9638220

Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality

Jaber Valinejad, Lamine Mili, C. Natalie van der Wal, Michael Von Spakovsky, Yijun Xu

System Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

15 Downloads (Pure)

Abstract

Power systems serve social communities that consist of residential, commercial, and industrial customers. As a result, the disaster resilience of a power system should account for social community resilience. The social behavior and psychological features of all stakeholders involved in a disaster influence the level of power system preparedness, mitigation, recovery, adaptability, and resilience. Hence, there is a need to consider the social community's effect on the power system and the dependence between them in determining a power system's resilient to human-made and natural hazards. The social community, such as a county, city, or state, consists of various stakeholders, e.g., social consumers, social prosumers, and utilities. In this paper, we develop a multi-dimensional output-oriented method to measure resilience. The three key ideas for measuring power system resilience are the multi-dimensionality, output-oriented, and degraded functionality aspects of the power system. To this end, we develop an artificial society based on neuroscience, social science, and psychological theories to model the behavior of consumers and prosumers and the interdependence between power system resilience, comsumer and prosumer well-being, and community capital. Both mental health and physical health are used as metrics of well-being, while the level of cooperation is used to measure community capital resilience.

Original language	English
Title of host publication	2021 IEEE Power & Energy Society General Meeting (PESGM)
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	1-11
Number of pages	11
ISBN (Electronic)	978-1-6654-0507-2
ISBN (Print)	978-1-6654-4630-3
DOIs	https://doi.org/10.1109/PESGM46819.2021.9638220
Publication status	Published - 2021
Event	2021 IEEE Power & Energy Society General Meeting (PESGM) - Virtual at Washington, United States Duration: 26 Jul 2021 → 29 Jul 2021

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2021-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2021 IEEE Power & Energy Society General Meeting (PESGM)
Country/Territory	United States
City	Virtual at Washington
Period	26/07/21 → 29/07/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Power systems
Resilience
Community resilience
Social science
Artificial society

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PESGM46819.2021.9638220

Multi_Dimensional_Output_Oriented_Power_System_Resilience_based_on_Degraded_FunctionalityFinal published version, 1.01 MB

Cite this

Valinejad, J., Mili, L., van der Wal, C. N., Von Spakovsky, M., & Xu, Y. (2021). Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality. In 2021 IEEE Power & Energy Society General Meeting (PESGM): Proceedings (pp. 1-11). Article 9638220 (IEEE Power and Energy Society General Meeting; Vol. 2021-July). IEEE. https://doi.org/10.1109/PESGM46819.2021.9638220

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abstract = "Power systems serve social communities that consist of residential, commercial, and industrial customers. As a result, the disaster resilience of a power system should account for social community resilience. The social behavior and psychological features of all stakeholders involved in a disaster influence the level of power system preparedness, mitigation, recovery, adaptability, and resilience. Hence, there is a need to consider the social community's effect on the power system and the dependence between them in determining a power system's resilient to human-made and natural hazards. The social community, such as a county, city, or state, consists of various stakeholders, e.g., social consumers, social prosumers, and utilities. In this paper, we develop a multi-dimensional output-oriented method to measure resilience. The three key ideas for measuring power system resilience are the multi-dimensionality, output-oriented, and degraded functionality aspects of the power system. To this end, we develop an artificial society based on neuroscience, social science, and psychological theories to model the behavior of consumers and prosumers and the interdependence between power system resilience, comsumer and prosumer well-being, and community capital. Both mental health and physical health are used as metrics of well-being, while the level of cooperation is used to measure community capital resilience.",

keywords = "Power systems, Resilience, Community resilience, Social science, Artificial society",

author = "Jaber Valinejad and Lamine Mili and {van der Wal}, {C. Natalie} and {Von Spakovsky}, Michael and Yijun Xu",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2021 IEEE Power & Energy Society General Meeting (PESGM) ; Conference date: 26-07-2021 Through 29-07-2021",

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doi = "10.1109/PESGM46819.2021.9638220",

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Valinejad, J, Mili, L, van der Wal, CN, Von Spakovsky, M & Xu, Y 2021, Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality. in 2021 IEEE Power & Energy Society General Meeting (PESGM): Proceedings., 9638220, IEEE Power and Energy Society General Meeting, vol. 2021-July, IEEE, pp. 1-11, 2021 IEEE Power & Energy Society General Meeting (PESGM), Virtual at Washington, United States, 26/07/21. https://doi.org/10.1109/PESGM46819.2021.9638220

Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality. / Valinejad, Jaber; Mili, Lamine; van der Wal, C. Natalie et al.
2021 IEEE Power & Energy Society General Meeting (PESGM): Proceedings. IEEE, 2021. p. 1-11 9638220 (IEEE Power and Energy Society General Meeting; Vol. 2021-July).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality

AU - Valinejad, Jaber

AU - Mili, Lamine

AU - van der Wal, C. Natalie

AU - Von Spakovsky, Michael

AU - Xu, Yijun

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2021

Y1 - 2021

N2 - Power systems serve social communities that consist of residential, commercial, and industrial customers. As a result, the disaster resilience of a power system should account for social community resilience. The social behavior and psychological features of all stakeholders involved in a disaster influence the level of power system preparedness, mitigation, recovery, adaptability, and resilience. Hence, there is a need to consider the social community's effect on the power system and the dependence between them in determining a power system's resilient to human-made and natural hazards. The social community, such as a county, city, or state, consists of various stakeholders, e.g., social consumers, social prosumers, and utilities. In this paper, we develop a multi-dimensional output-oriented method to measure resilience. The three key ideas for measuring power system resilience are the multi-dimensionality, output-oriented, and degraded functionality aspects of the power system. To this end, we develop an artificial society based on neuroscience, social science, and psychological theories to model the behavior of consumers and prosumers and the interdependence between power system resilience, comsumer and prosumer well-being, and community capital. Both mental health and physical health are used as metrics of well-being, while the level of cooperation is used to measure community capital resilience.

AB - Power systems serve social communities that consist of residential, commercial, and industrial customers. As a result, the disaster resilience of a power system should account for social community resilience. The social behavior and psychological features of all stakeholders involved in a disaster influence the level of power system preparedness, mitigation, recovery, adaptability, and resilience. Hence, there is a need to consider the social community's effect on the power system and the dependence between them in determining a power system's resilient to human-made and natural hazards. The social community, such as a county, city, or state, consists of various stakeholders, e.g., social consumers, social prosumers, and utilities. In this paper, we develop a multi-dimensional output-oriented method to measure resilience. The three key ideas for measuring power system resilience are the multi-dimensionality, output-oriented, and degraded functionality aspects of the power system. To this end, we develop an artificial society based on neuroscience, social science, and psychological theories to model the behavior of consumers and prosumers and the interdependence between power system resilience, comsumer and prosumer well-being, and community capital. Both mental health and physical health are used as metrics of well-being, while the level of cooperation is used to measure community capital resilience.

KW - Power systems

KW - Resilience

KW - Community resilience

KW - Social science

KW - Artificial society

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U2 - 10.1109/PESGM46819.2021.9638220

DO - 10.1109/PESGM46819.2021.9638220

M3 - Conference contribution

SN - 978-1-6654-4630-3

T3 - IEEE Power and Energy Society General Meeting

SP - 1

EP - 11

BT - 2021 IEEE Power & Energy Society General Meeting (PESGM)

PB - IEEE

T2 - 2021 IEEE Power & Energy Society General Meeting (PESGM)

Y2 - 26 July 2021 through 29 July 2021

ER -

Multi-Dimensional Output-Oriented Power System Resilience based on Degraded Functionality

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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