A Proposed Algorithm for the Self-Healing of Power Distribution Networks

Paper


Johnathon, Chris and Kennedy, Joel. 2018. "A Proposed Algorithm for the Self-Healing of Power Distribution Networks." Sharma, Anurag and Hao, Quan (ed.) 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT). Singapore 22 - 25 May 2018 Singapore. https://doi.org/10.1109/ISGT-Asia.2018.8467816
Paper/Presentation Title

A Proposed Algorithm for the Self-Healing of Power Distribution Networks

Presentation TypePaper
AuthorsJohnathon, Chris (Author) and Kennedy, Joel (Author)
EditorsSharma, Anurag and Hao, Quan
Journal or Proceedings TitleProceedings of the 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT)
ERA Conference ID50441
Number of Pages6
Year2018
Place of PublicationSingapore
ISBN9781538642917
Digital Object Identifier (DOI)https://doi.org/10.1109/ISGT-Asia.2018.8467816
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/8467816
Conference/Event2018 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.

KeywordsPower distribution fault; Power system protection; Power system reliability; Power system restoration
ANZSRC Field of Research 2020400805. Electrical energy transmission, networks and systems
Public Notes

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Byline AffiliationsUniversity of Wollongong
Institution of OriginUniversity of Southern Queensland
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