A Multi-dimensional Division Decision Model of Power Grid Management Based on Fuzzy Matching

Abstract

The power grid operation management process will produce a lot of text information data. However, there is no direct and precise correspondence between the key items in the textual records and the management sectors of the grid. Thus, the matching of the textual data and the management sectors of power grid operation and management is still mainly done by human resources. In order to improve the automation and efficiency of power grid operation and management, a matching decision model for power grid management sectors based on fuzzy matching is proposed. Firstly, a gravitational coefficient matrix is constructed to reflect the degree of association between the text keywords and each management sector of the power grid. Then, a scalar matrix is constructed to reflect the keyword information of the text data, and then the scalar matrix is multiplied with the mass matrix to obtain the fuzzy matching degree of the text data and each power grid management sector. Finally, the matching power grid management sector is selected according to the fuzzy matching degree matrix. In the case analysis part, 570 grid operation texts of a power company were taken as samples. The results show that the proposed fuzzy theory-based power grid management sector matching decision model has high matching accuracy and can achieve the management sector identification of power grid operation management text data.