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

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4 Author(s)
Weijia Liu ; Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China ; Zhenzhi Lin ; Fushuan Wen ; Gerard Ledwich

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.

Published in:

IET Generation, Transmission & Distribution  (Volume:7 ,  Issue: 1 )