A novel method of fault diagnosis based on synchronized phasor measuring and flow fingerprint identification technology

A novel method of fault diagnosis is presented based on power grid flow fingerprint identification technology and synchronized phasor measurements. In this paper, the definitions of power grid flow fingerprint and flow fingerprint characteristic point are introduced at first. Then, the proposed method is achieved utilizing the flow fingerprint identification scheme. Meanwhile, two evaluation indexes are developed when the online matching is made between the simulated flow fingerprint and real-time flow fingerprint collected by PMUs. The method also employs improved integer programming technique for optimal PMU placement. The proposed approach is effective to eliminate uncertainty and obtain accurate diagnosis results using less data based on a systematic view. Especially, the application of the proposed method is helpful and beneficial to identify initial fault and accurately capture the nature of cascading failures. Simulation results have proved the validity of this method.