Intuitionistic fuzzy Choquet integral operator-based approach for black-start decision-making
Data(s) |
2012
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Resumo |
Determining the optimal of black-start strategies is very important for speeding the restoration speed of a power system after a global blackout. Most existing black-start decision-making methods are based on the assumption that all indexes are independent of each other, and little attention has been paid to the group decision-making method which is more reliable. Given this background, the intuitionistic fuzzy set and further intuitionistic fuzzy Choquet integral operator are presented, and a black-start decision-making method based on this integral operator is presented. Compared to existing methods, the proposed algorithm cannot only deal with the relevance among the indexes, but also overcome some shortcomings of the existing methods. Finally, an example is used to demonstrate the proposed method. © 2012 The Institution of Engineering and Technology. |
Identificador | |
Publicador |
The Institution of Engineering and Technology (IET) |
Relação |
DOI:10.1049/iet-gtd.2011.0609 Liu, W.J., Lin, Z.Z., Wen, F.S., & Ledwich, G. (2012) Intuitionistic fuzzy Choquet integral operator-based approach for black-start decision-making. IET Generation, Transmission and Distribution, 6(5), pp. 378-386. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #090600 ELECTRICAL AND ELECTRONIC ENGINEERING #Decision making #Fuzzy set theory #Power system restoration |
Tipo |
Journal Article |