Abstract
It's significant to make an efficient scheme about fault diagnosis on account of the closer interconnection of regional power grids and the complex structure of the system. The traditional fuzzy C-means algorithm (FCM) ignores different contribution between different types of data and the class edge is fuzzy. In view of these problems, this paper presents a new method about fault diagnosis for power grid based on adaptive improved FCM algorithm. This method which can effectively distinguish the contribution from different fault information during the clustering process uses multi-source data and overcomes defects of traditional FCM algorithm as well. The simulation results show that this algorithm can complete fault diagnosis accurately and quickly.
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