Topology Error Identification In Power System State Estimation

In this paper, analyses are conducted combining with calculation examples concerning the basic methods of the topology error identification of power networks. The least robustness square method is applied in the topology error identification with measurement error and a method of probability analysis is proposed concerning radiate networks. The main contents are as follows:(1) For radiate networks, a method of topology probability analysis with measurements is proposed, which is a fairly practical method with strong error tolerance and high calculation speed.(2) Retrospection is performed to the classical methods of topology error identification. All new programs are developed with VC++ Language, with which a practical example is calculated, and the results are discussed.(3) The least robustness square method is applied in topology error identification and faulty data identification. As is shown in the results of calculation examples, the least robustness square method has favorable outlier resistance and convergence reliability and high convergence speed. Furthermore, unlike ordinary least square methods, the least robustness square method can combine outlier resistance and state estimation in one calculation process rather than perform repeated calculations. The main part of the least robustness square method remains the least square method, so the merit of high efficiency of the least square method is retained.