Socio-Technical Power System Resilience

Article ID

CSTNWSF75SE

Enhancing socio-technical power system resilience for sustainable energy and cybersecurity.

Socio-Technical Power System Resilience

Jaber Valinejad
Jaber Valinejad
Lamine Mili
Lamine Mili
C. Natalie van der Wal
C. Natalie van der Wal
Yijun Xu
Yijun Xu
DOI

Abstract

Abstract—Power systems serve social communities that consist of residential, commercial, and industrial customers. The social behavior and degree of collaboration of all stakeholders, such as consumers, prosumers, and utilities, affect the level of pre- paredness, mitigation, recovery, adaptability, and, thus, power system resilience. Nonetheless, the literature pays scant attention to stakeholders’ social characteristics and collaborative efforts when confronted with a disaster and views the problem solely as a cyber-physical system. However, power system resilience, which is not a standalone discipline, is inherently a cyber-physical- social problem, making it complex to address. To this end, in this paper we develop a socio-technical power system resilience model based on neuroscience, social science, and psychological theories and using the threshold model to simulate the behavior of power system stakeholders during a disaster.

Socio-Technical Power System Resilience

Abstract—Power systems serve social communities that consist of residential, commercial, and industrial customers. The social behavior and degree of collaboration of all stakeholders, such as consumers, prosumers, and utilities, affect the level of pre- paredness, mitigation, recovery, adaptability, and, thus, power system resilience. Nonetheless, the literature pays scant attention to stakeholders’ social characteristics and collaborative efforts when confronted with a disaster and views the problem solely as a cyber-physical system. However, power system resilience, which is not a standalone discipline, is inherently a cyber-physical- social problem, making it complex to address. To this end, in this paper we develop a socio-technical power system resilience model based on neuroscience, social science, and psychological theories and using the threshold model to simulate the behavior of power system stakeholders during a disaster.

Jaber Valinejad
Jaber Valinejad
Lamine Mili
Lamine Mili
C. Natalie van der Wal
C. Natalie van der Wal
Yijun Xu
Yijun Xu

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Jaber Valinejad. 2026. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 23 (GJCST Volume 23 Issue E2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 23 Issue E2
Pg. 13- 24
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GJCST-E Classification: DDC Code: 940.547252092 LCC Code: D805.J3
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Socio-Technical Power System Resilience

Jaber Valinejad
Jaber Valinejad
Lamine Mili
Lamine Mili
C. Natalie van der Wal
C. Natalie van der Wal
Yijun Xu
Yijun Xu

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