A cloud model based optimization method for black-start group decision-making
NI Qiu-lon · Journal of North China Electric Power University · 2014
With the ever-increasing complexity of the structure and operating patterns of modern power systems,it is expected that group decision-making will be more widely employed in black-start decision-making of power systems.Given this background,a cloud model based optimization method for black-start group decision-making is first presented with the inevitable fuzziness and subjectivity of group decision-making taken into account. The optimization results can be represented by the cloud figures generated by a cloud generator. Not only the expected value of each black-start decision-making result but also the best and worst condition of each black-start strategy can be directly observed,and this facilitates the comprehensive analysis of the black-start decision-making results. Finally,two black-start examples are served for demonstrating the feasibility and effectiveness of the developed method.