Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.adapen.2021.100036
Title: Meta-analysis of the strategies for self-healing and resilience in power systems
Authors: Shittu, Ekundayo
Tibrewala, Abhijai
Kalla, Swetha
Wang, Xiaonan 
Keywords: Investment
Microgrids
Power networks
Resilience
Self-healing
Issue Date: 1-Nov-2021
Publisher: Elsevier Ltd
Citation: Shittu, Ekundayo, Tibrewala, Abhijai, Kalla, Swetha, Wang, Xiaonan (2021-11-01). Meta-analysis of the strategies for self-healing and resilience in power systems. Advances in Applied Energy 4 : 100036. ScholarBank@NUS Repository. https://doi.org/10.1016/j.adapen.2021.100036
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: This paper presents a survey of the literature on the strategies to enhance the resilience of power systems while shedding lights on the research gaps. Using a deductive methodology on the literature covering the resilience of power systems, we reviewed more than two hundred peer-reviewed articles spanning the 2010–2019 decade. We find that there is vacuum on the level of integration that considers the interdependence of local or decentralized decision making in an adaptive power system. This gap is widened by the absence of policies to enhance resilience in power networks. While there is significant coverage and convergence of research on algorithms for solving the multi-objective problem in optimization routines, there are still uncharted territories on how to incorporate system degradation while designing these self-restoration systems. We posit that a shift to a smarter, cleaner and more resilient power network requires sustained investments rather than disaster-induced responses. © 2021 The Author(s)
Source Title: Advances in Applied Energy
URI: https://scholarbank.nus.edu.sg/handle/10635/233093
ISSN: 2666-7924
DOI: 10.1016/j.adapen.2021.100036
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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