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

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Authors: Arif Fikri Malek, Hazlie Mokhlis Mokhlis, Nurulafiqah Nadzirah Mansor, Jasrul Jamani Jamian, Hasmaini Mohamad, Lilik Jamilatul Awalin, Suhail Afzal, Munir Muhammad Azam
Cited by: 2
References: 20

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.

Fields of Study & Subjects

Optimal Power Flow Distribution Power System Optimization and Stability Power System Reliability and Maintenance

Publication details

Journal / source
Energies
Publisher
MDPI AG
Volume
19
Issue
3
Pages
777–777
Publication date
2 February 2026
Language
EN