Resilience Investment Against Extreme Weather Events Considering Critical Load Points in an Active Microgrid

The increasing frequency and severity of extreme weather events pose significant threats to power systems, particularly at the distribution level. The most detrimental consequence of such events is observed in critical loads due to high outage costs. As a result, there is a pressing need for utilities to invest in enhancing system resilience, which requires a comprehensive resilience investment framework and metrics to evaluate system performance. This paper proposes a distribution system resilience assessment framework to guide strategic investment decisions. The framework incorporates a mathematical model that estimates system restoration time after an extreme event, considering the criticality of loads, the interdependence of component failures and repair sequences, and the availability of repair crews. In addition, two new resilience metrics—disconnected load point hours (DLH) and normalized DLH (NDLH)—are introduced, which provide a more comprehensive view of system resilience by reflecting both vulnerability and the ability to withstand and recover from extreme events. Case studies are performed on a modified IEEE 69-bus test system utilizing the developed framework. The results evaluate the effectiveness of different resilience investment strategies, including infrastructure hardening, distributed energy resources management, and repair process coordination, in improving the system resilience for maintaining the critical loads and the overall distribution system.

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Publication Details

Journal
Applied Sciences
Published
2025-06-20
DOI
https://doi.org/10.3390/app15136973
Citations
3
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
2.19
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article

Resilience Investment Against Extreme Weather Events Considering Critical Load Points in an Active Microgrid

Rajesh Karki, Avishek Sapkota
3 citations
Applied Sciences
Optimal Power Flow Distribution
2.19
article

Resilience Investment Against Extreme Weather Events Considering Critical Load Points in an Active Microgrid

Rajesh Karki, Avishek Sapkota
article en
3 citations

Abstract

The increasing frequency and severity of extreme weather events pose significant threats to power systems, particularly at the distribution level. The most detrimental consequence of such events is observed in critical loads due to high outage costs. As a result, there is a pressing need for utilities to invest in enhancing system resilience, which requires a comprehensive resilience investment framework and metrics to evaluate system performance. This paper proposes a distribution system resilience assessment framework to guide strategic investment decisions. The framework incorporates a mathematical model that estimates system restoration time after an extreme event, considering the criticality of loads, the interdependence of component failures and repair sequences, and the availability of repair crews. In addition, two new resilience metrics—disconnected load point hours (DLH) and normalized DLH (NDLH)—are introduced, which provide a more comprehensive view of system resilience by reflecting both vulnerability and the ability to withstand and recover from extreme events. Case studies are performed on a modified IEEE 69-bus test system utilizing the developed framework. The results evaluate the effectiveness of different resilience investment strategies, including infrastructure hardening, distributed energy resources management, and repair process coordination, in improving the system resilience for maintaining the critical loads and the overall distribution system.

Applied SciencesVol. 15(13)
University of Saskatchewan (CA)
Openalex Percentile: Top 12%
Optimal Power Flow Distribution
2.19
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Resilience Investment Against Extreme Weather Events Considering Critical Load Points in an Active Microgrid — Rajesh Karki, Avishek Sapkota · Applied Sciences (2025) | TGRS Research Map | TGRS