Emergency Response Strategy for Power System Resilience Improvement Based on Network Reconfiguration and Mobile Emergency Generator Deployment

Power distribution systems face increasing threats from high-impact, low-probability (HILP) events caused by extreme weather conditions such as floods, typhoons, droughts, and heatwaves. These events often lead to power outages worldwide, highlighting the need for effective strategies to mitigate their impact. This work proposes an emergency response strategy that integrates network reconfiguration (NR) with the deployment of mobile emergency generators (MEGs) to enhance system resilience. The objective is to maximize power supply availability following HILP events. To achieve this, mixed-integer quadratic constraint programming (MIQCP) is used to optimize MEG deployment and network restoration. Additionally, improved quantitative resilience metrics are introduced to assess system degradation, pre-recovery, and recovery phases, enabling continuous resilience measurement and informed decision-making. Furthermore, an optimal capacity deployment strategy (OCDS) is proposed to ensure that MEGs are deployed with suitable capacities based on the specific needs of outage-affected areas. The effectiveness of the proposed strategy is demonstrated through tests on the IEEE 118 bus system. The results show a significant improvement of up to 100% in system resilience, reducing power outages and accelerating restoration. The findings confirm that integrating NR with optimized MEG deployment enhances service restoration, providing an effective approach for utilities to manage power disruptions.

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Publication Details

Journal
Energies
Published
2026-02-02
DOI
https://doi.org/10.3390/en19030777
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Emergency Response Strategy for Power System Resilience Improvement Based on Network Reconfiguration and Mobile Emergency Generator Deployment

Lilik Jamilatul Awalin, Munir Muhammad Azam, Arif Fikri Malek, Suhail Afzal et al.
Energies
Optimal Power Flow Distribution
article

Emergency Response Strategy for Power System Resilience Improvement Based on Network Reconfiguration and Mobile Emergency Generator Deployment

Lilik Jamilatul Awalin, Munir Muhammad Azam, Arif Fikri Malek, Suhail Afzal, Jasrul Jamani JAMIAN, Hazlie Mokhlis Mokhlis, Nurulafiqah Nadzirah Mansor, Hasmaini Mohamad
article en

Abstract

Power distribution systems face increasing threats from high-impact, low-probability (HILP) events caused by extreme weather conditions such as floods, typhoons, droughts, and heatwaves. These events often lead to power outages worldwide, highlighting the need for effective strategies to mitigate their impact. This work proposes an emergency response strategy that integrates network reconfiguration (NR) with the deployment of mobile emergency generators (MEGs) to enhance system resilience. The objective is to maximize power supply availability following HILP events. To achieve this, mixed-integer quadratic constraint programming (MIQCP) is used to optimize MEG deployment and network restoration. Additionally, improved quantitative resilience metrics are introduced to assess system degradation, pre-recovery, and recovery phases, enabling continuous resilience measurement and informed decision-making. Furthermore, an optimal capacity deployment strategy (OCDS) is proposed to ensure that MEGs are deployed with suitable capacities based on the specific needs of outage-affected areas. The effectiveness of the proposed strategy is demonstrated through tests on the IEEE 118 bus system. The results show a significant improvement of up to 100% in system resilience, reducing power outages and accelerating restoration. The findings confirm that integrating NR with optimized MEG deployment enhances service restoration, providing an effective approach for utilities to manage power disruptions.

EnergiesVol. 19(3)
Bahauddin Zakariya University (PK), Iqra University (PK), Universitas Airlangga (ID), University of Malaya (MY), Universiti Teknologi MARA System (MY), University of Technology Malaysia (MY), Universiti Teknologi MARA (MY)
Openalex Percentile: Top 68%
Optimal Power Flow Distribution
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