A Proposed Algorithm for the Self-Healing of Power Distribution Networks
Paper
Paper/Presentation Title | A Proposed Algorithm for the Self-Healing of Power Distribution Networks |
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Presentation Type | Paper |
Authors | Johnathon, Chris (Author) and Kennedy, Joel (Author) |
Editors | Sharma, Anurag and Hao, Quan |
Journal or Proceedings Title | Proceedings of the 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT) |
ERA Conference ID | 50441 |
Number of Pages | 6 |
Year | 2018 |
Place of Publication | Singapore |
ISBN | 9781538642917 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISGT-Asia.2018.8467816 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8467816 |
Conference/Event | 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT) |
IEEE Innovative Smart Grid Technologies - Asia | |
Event Details | 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT) Event Date 22 to end of 25 May 2018 Event Location Singapore |
Event Details | IEEE Innovative Smart Grid Technologies - Asia ISGT Asia |
Abstract | The proposed algorithm contributes towards an automated power distribution system, which optimally restores the power supply of the network by changing the existing topology, during an unplanned power outage. By automatic reconfiguration of the network, a fault can be isolated and power can be supplied to customers who are downstream of the fault section. BPSO technique has been implemented, which ensures maximum customer connectivity and minimum power losses while maintaining a radial topology which has acceptable voltage profile, allowable thermal limits and protection selectivity. Simultaneously, new protection settings are generated for the proposed network topology, thus preventing any compromise to grid's integrity. The proposed algorithm was tested for an IEEE 33-bus distribution network on MATLAB simulation platform. The generated network configuration achieved an optimal post-fault topology. The proposed algorithm automates the process of power restoration and thereby reduces the work for engineers and improves the reliability of distribution networks. |
Keywords | Power distribution fault; Power system protection; Power system reliability; Power system restoration |
ANZSRC Field of Research 2020 | 400805. Electrical energy transmission, networks and systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Wollongong |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6w94/a-proposed-algorithm-for-the-self-healing-of-power-distribution-networks
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