A Hierarchical Power Grid Fault Diagnosis Method Using Multi-Source Information

The effective acquisition of multi-source information promotes the development of the multi-source information fusion-based methods for power grid fault diagnosis. These method have addressed the problem of low fault-tolerance for the fault diagnosis using switching information to a certain extent. However, the existing methods increase the complexity of fault diagnosis and weaken the applicability by centrally utilizing multi-source information. Given this background, an effort is made to present a hierarchical power grid fault diagnosis method using multi-source information, which takes into account the use of the switching and electrical information at different stages. The method adopts two layer diagnostic modes. In the first layer mode, the switching information is applied to analyze the proposed multi-objective analytic model. In the second layer mode, the electrical information is employed to construct the electrical criteria of suspicious faulty components, in order to solve the problem of multiple solutions faced by the first layer mode. The hierarchical diagnostic mode enhances the pertinence of fault diagnosis via calling multi-source information by layer, which can improve the accuracy and efficiency of fault diagnosis. Through the method tested under the assumed fault examples, the proposed approach has demonstrated its feasibility and effectiveness for the fault diagnosis application.