Fault Location in Active Distribution Network based on Convariance Matrix and PMU Data

Fault diagnosis and location of distribution network is a difficult problem. With the integration of the distributed generation, the multi-source of the fault current makes the problem more complex. This paper proposes a fault diagnosis method based on synchronized measurement information matrix, which includes two procedures: 1) to detect the occurrence of the fault; 2) to locate the fault section and determine the fault type. Firstly, the local covariance matrix is defined by introducing sliding window based on synchronous phasor information. Then, a local information covariance matrix is constructed by taking each PMU's data as a sample at a certain moment to detect the occurrence of the fault. The fault segment is located and the fault type is determined via improving the local covariance matrix. Finally, a simulation example is used to verify the effectiveness and reliability of the proposed method.