Fault Diagnosis of the Smart Grid with Distributed Generation Based on Limited Data Drive

Due to the complexity of the smart grid and the uncertainty of the distributed generation, there is a lot of uncertain information in smart grid. The theory of rough intuitionist fuzzy set is proposed in this article to deal with the fault diagnosis in the case of uncertain information. Fault position and the fault device can be judged based on current, voltage and the action of protection device and circuit breakers under failure state, including error and incomplete fault signal caused by malfunction, bit error in signal propagation. Diagnosis rules can be extracted from the set of fault samples. Diagnosis rules obtained by this method can be used to establish the fault diagnosis knowledge base, thus provides a feasible method for the fault diagnosis of smart grid.