关键词: 黑启动, 可变熵模型, 最小叉熵准则, VIKOR法

Abstract: Black-start is one of the solutions for power system security and quickly recovery after an accident. Assessment on black-start schemes is an important part of decision making in black-start. In this article, minimum cross-entropy is applied to aggregate the weight for resolving the assessment on black-start schemes. Flexible entropy model is firstly adopted which addresses the issues that differences between weights of indexes are significant, no changes in weights when assessment matrix changes slightly to get the weights according to the difference of objective data information of each index. Utility function of decision makers is also tried to be used to transform the objective value matrix into the judgment matrix, which is based on the subjective preference of decision makers and combines with the Kullback-Leibler distance model to obtain the weights of preference. Then on the basis of minimum cross-entropy, the weights under the flexible entropy model and the other on account of the decision makers’ subjective preference are integrated, the combined weights of indexes can be acquired. Finally, relationships between black-start schemes are analyzed by using VIKOR method, and the optimal black-start schemes are selected. Experiments are carried out on the data of black-start path of Tianjin power grid, the results show that the proposed approach is effective.

Key words: black-start, flexible entropy model, minimum cross-entropy, VIKOR