LAPSE:2023.35890
Published Article
LAPSE:2023.35890
Power Distribution System Outage Management Using Improved Resilience Metrics for Smart Grid Applications
Arif Fikri Malek, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Jasrul Jamani Jamian, Li Wang, Munir Azam Muhammad
May 24, 2023
Smart grid systems play a significant role in improving the resilience of distribution systems (DSs). In this paper, two strategies are proposed for implementation of a smart grid application: (a) a network reconfiguration and (b) a network reconfiguration with mobile emergency generator (MEGs) deployment. An improved set of resilience metrics to quantify and enhance the resiliency of distribution systems (DSs) is developed for the proposed optimization. The metrics aim to determine a suitable strategy and the optimal number and capacity of MEGs to restore the disconnected loads through the development of several microgrids. These metrics are then aggregated with the proposed strategy to develop an automated solution provider. The objective is to maximize system resilience considering the priority loads. The proposed resilience metrics are tested on the IEEE 33-Bus radial DSs. The case studies conducted proved the performance of the proposed power outage management strategy and resilience metrics in maximizing system resiliency for smart grids.
Keywords
distribution systems, mobile emergency generators, network reconfiguration, resilience metrics, smart grid
Suggested Citation
Malek AF, Mokhlis H, Mansor NN, Jamian JJ, Wang L, Muhammad MA. Power Distribution System Outage Management Using Improved Resilience Metrics for Smart Grid Applications. (2023). LAPSE:2023.35890
Author Affiliations
Malek AF: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
Mokhlis H: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Mansor NN: Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Jamian JJ: Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Wang L: Department of Electrical Engineering, College of Electrical Engineering & Computer Science, National Cheng Kung University, Tainan City 70101, Taiwan
Muhammad MA: Department of Electrical Engineering, Iqra University, Karachi 75500, Pakistan
Journal Name
Energies
Volume
16
Issue
9
First Page
3953
Year
2023
Publication Date
2023-05-08
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093953, Publication Type: Journal Article
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LAPSE:2023.35890
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doi:10.3390/en16093953
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May 24, 2023
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CC BY 4.0
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[v1] (Original Submission)
May 24, 2023
 
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May 24, 2023
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Original Submitter
Calvin Tsay
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