Fault diagnosis in distribution substations using CE-nets via Boolean rule matrix transformations

A new method for estimating fault sections in a power substation is proposed. In this paper, the knowledge representation and inference procedures based on the cause-effect networks (CE-Nets) and Boolean rule matrix transformation techniques are presented. A CE-Net is a graphic modeling tool for representing the causality between faults and actions of protective devices. By transforming the established CE-Nets into matrix forms, the possible fault sections can be estimated through simple matrix operations. The method is superior to existing production systems in the inference speed and the process of implementation. Since the proposed reasoning methods require only simple matrix operations in a parallel manner, it is well suitable for on-line applications. The proposed method has been tested on a typical Taiwan Power Company (Taipower) secondary substation. From the experimental results, it is found that the proposed method can estimate fault sections very efficiently