A new approach for power system black-start decision-making with vague set theory

Zeng, Shunqi , Lin, Zhenzhi, Wen, Fushuan, & Ledwich, Gerard (2012) A new approach for power system black-start decision-making with vague set theory. International Journal of Electrical Power & Energy Systems, 34(1), pp. 114-120.

View at publisher


Power system restoration after a large area outage involves many factors, and the procedure is usually very complicated. A decision-making support system could then be developed so as to find the optimal black-start strategy. In order to evaluate candidate black-start strategies, some indices, usually both qualitative and quantitative, are employed. However, it may not be possible to directly synthesize these indices, and different extents of interactions may exist among these indices. In the existing black-start decision-making methods, qualitative and quantitative indices cannot be well synthesized, and the interactions among different indices are not taken into account. The vague set, an extended version of the well-developed fuzzy set, could be employed to deal with decision-making problems with interacting attributes. Given this background, the vague set is first employed in this work to represent the indices for facilitating the comparisons among them. Then, a concept of the vague-valued fuzzy measure is presented, and on that basis a mathematical model for black-start decision-making developed. Compared with the existing methods, the proposed method could deal with the interactions among indices and more reasonably represent the fuzzy information. Finally, an actual power system is served for demonstrating the basic features of the developed model and method.

Impact and interest:

14 citations in Scopus
Search Google Scholar™
16 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 57368
Item Type: Journal Article
Refereed: Yes
Keywords: Power system restoration, Black-start, Decision-making, Vague set, Interactions among indexes
DOI: 10.1016/j.ijepes.2011.09.012
ISSN: 0142-0615
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 2011 Elsevier Ltd.
Deposited On: 19 Feb 2013 00:23
Last Modified: 19 Feb 2013 22:26

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page