Abstract:In the process of power system state estimation,the defective data points become blurred due to residual pollution and residual submergence,which makes the identification of bad data more difficult.Aiming at this problem,the correlation measure is used to detect the data which can be detected beyond the certain threshold value,and introduce the relationship between the amount of electricity in the network topology to detect the suspicious data detected.Through the topology constraint of the power network Characteristics to determine the poor measurement data in the measurement,the system further reduces the number of bad numbers when the number of missed and false detection of the possibility.With a four node power system as an example to carry out the analysis,with weighted residuals and standard residuals method,the test results show that the proposed method is effective and feasible for the identification of multiple bad data based on the combination of the abrupt change detection and the power grid correlation matrix.