Malek, Arif Fikri and Mokhlis, Hazlie and Mansor, Nurulafiqah Nadzirah and Jamian, Jasrul Jamani and Wang, Li and Muhammad, Munir Azam (2023) Power Distribution System Outage Management Using Improved Resilience Metrics for Smart Grid Applications. Energies, 16 (9). ISSN 1996-1073, DOI https://doi.org/10.3390/en16093953.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | Malaysian Ministry of Education under Fundamental Research Grant Scheme (FRGS/1/2021/TK0/UTM/02/20), Universiti Malaya under the Impact-Oriented Interdisciplinary Research Grant (IIRG001A-2020IISS) |
| Uncontrolled Keywords: | distribution systems; mobile emergency generators; network reconfiguration; resilience metrics; smart grid |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 01 Oct 2025 02:21 |
| Last Modified: | 01 Oct 2025 02:21 |
| URI: | http://eprints.um.edu.my/id/eprint/50319 |
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