Using Information-Theoretic Co-clustering for Power System Black-Start Decision Making with Incomplete Information

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Black-start decision making plays an important role in power system restoration after a large-area blackout. In this article, information-theoretic co-clustering is employed to deal with the black-start decision-making problem with incomplete information. A novel black-start decision making method based on information-theoretic co-clustering, called ITCC-BSDM, is proposed. In the proposed method ITCC-BSDM, information-theoretic co-clustering is used to simultaneously cluster the black-start schemes and indexes. Based on the scheme clusters and index clusters, the missing values in the decision matrix are predicted, and a complete decision matrix is constructed. Finally, the standard deviation method and the simple additive weighting method are used to determine the best black-start scheme. Based on the data of Guangdong power system of China, experiments were carried out to investigate the effectiveness of the proposed method. The results show that the proposed method even performs better than some black-start decision making methods considering complete information.