Assessment on black-start schemes based on symbolic data.

Reasonable selection of black-start schemes is significant to the fast restoration of power system. Previous studies mostly focus on complete evaluation information. In this article, a comprehensive evaluation model based on symbolic data is proposed, which can address the issue of assessing black-start schemes under the condition of incomplete evaluation information. First, evaluation grade is established, and original evaluation matrix is transformed into symbolic data matrix. Then the symbolic data matrix is packaged, evaluation frequency matrix is gained, and weights of indexes are computed. Finally, weighted evaluation matrix is established based on the symbolic data matrix and weight vector, and negative ideal point approach is used to sort the black-start schemes. Experiments are carried out on the data of black-start path of Tianjin power grid, the results show that the proposed approach is effective. [ABSTRACT FROM AUTHOR]