Two-stage power network reconfiguration strategy considering node importance and restored generation capacity

Zhang, Can, Lin, Zhenzhi, Wen, Fushuan, Ledwich, Gerard, & Xue, Yusheng (2013) Two-stage power network reconfiguration strategy considering node importance and restored generation capacity. IET Generation, Transmission and Distribution.

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Network reconfiguration after complete blackout of a power system is an essential step for power system restoration. A new node importance evaluation method is presented based on the concept of regret, and maximisation of the average importance of a path is employed as the objective of finding the optimal restoration path. Then, a two-stage method is presented to optimise the network reconfiguration strategy. Specifically, the restoration sequence of generating units is first optimised so as to maximise the restored generation capacity, then the optimal restoration path is selected to restore the generating nodes concerned and the issues of selecting a serial or parallel restoration mode and the reconnecting failure of a transmission line are next considered. Both the restoration path selection and skeleton-network determination are implemented together in the proposed method, which overcomes the shortcoming of separate decision-making in the existing methods. Finally, the New England 10-unit 39-bus power system and the Guangzhou power system in South China are employed to demonstrate the basic features of the proposed method.

Impact and interest:

15 citations in Scopus
13 citations in Web of Science®
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ID Code: 62985
Item Type: Journal Article
Refereed: Yes
Keywords: Power generation faults, Power generation reliability, Power system restoration
DOI: 10.1049/iet-gtd.2013.0065
ISSN: 1751-8687
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: © The Institution of Engineering and TechnologyReceived
Deposited On: 01 Oct 2013 01:18
Last Modified: 21 Jan 2014 21:50

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