Power System State Estimation And Bad Data Detection And Identification

In order to meet the needs of real time computation of electric power system state estimation, the estimation algorithm based on decomposing the measurement of voltage scope and power scope and the estimation algorithm based on the measurement transformation of the equivalent current are brought forward and deduced in this thesis. These two algorithms all can make the Jacobian matrix a constant matrix and they are stimulated. Then, based on the estimation algorithm decomposing the measurement of voltage scope and power scope, the problems of the location of transformation tap settings and the tide current estimation of Zero-Impedance branches in state estimation are solved; and detection and identification of bad data in state estimation are deduced and stimulated, also a hybrid method of detection and identification is brought forward. Methods in this article is proved feasible and practical through stimulation.