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 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

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