Analysis and optimisation of the preferences of decision‐makers in black‐start group decision‐making. Issue 1 (1st January 2013)

• Record Type: Journal Article
• Authors: Liu, Weijia; Lin, Zhenzhi; Wen, Fushuan; Ledwich, Gerard
• Is Part Of: IET generation, transmission & distribution. Volume 7:Issue 1(2013)
• Page Start: 14
• Page End: 23
• Publication Date: 2013-01-01
• Subjects: decision making -- fuzzy set theory -- group theory -- optimisation -- power system restoration; decision‐makers -- black‐start group decision‐making -- power system restoration -- optimal black‐start scheme -- multiple‐round decision‐making procedure -- intuitionistic fuzzy distance‐based method; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2012.0093
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.