A fault diagnosis method for power system based on multilayer information fusion structure

This paper proposes an information fusion method for diagnosis. Multilayer structure of information fusion included data proposing, feature extraction and decision making, is constructed for dealing with the objects such as current, voltage and wave, etc. A Petri-network and a fault matching method of WAMS data are used in characteristic fusion. The application of this fame in the simulation resolves the problem of information loss which provides a way of the advanced applications in smart grid.