Analysis and optimisation of the preferences of decision-makers in black-start group decision-making

Liu, Weijia, Lin, Zhenzhi, Wen, Fushuan, & Ledwich, Gerard (2013) Analysis and optimisation of the preferences of decision-makers in black-start group decision-making. IET Generation, Transmission and Distribution, 7(1), pp. 14-23.

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As the first stage of power system restoration after a blackout, an optimal black-start scheme is very important for speeding up the whole restoration procedure. Up to now, much research work has been done on generating or selecting an optimal black-start scheme by a single round of decision-making. However, less attention has been paid for improving the final decision-making results through a multiple-round decision-making procedure. In the group decision-making environment, decision-making results evaluated by different black-start experts may differ significantly with each other. Thus, the consistency of black-start decision-making results could be deemed as an important indicator in assessing the black-start group decision-making results. Given this background, an intuitionistic fuzzy distance-based method is presented to analyse the consistency of black-start group decision-making results. Moreover, the weights of black-start indices as well as the weights of decision-making experts are modified in order to optimise the consistency of black-start group decision-making results. Finally, an actual example is served for demonstrating the proposed method.

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10 citations in Scopus
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6 citations in Web of Science®

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ID Code: 60250
Item Type: Journal Article
Refereed: Yes
DOI: 10.1049/iet-gtd.2012.0093
ISSN: 1751-8687
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 IEEE
Deposited On: 28 May 2013 00:19
Last Modified: 12 Jun 2013 15:49

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