The errors of transmission line parameters will lead to inaccurate results of state estimation (SE) of the energy management system (EMS)

thus affecting other advanced applications. The augmented state estimation (ASE) based on weighted least square is one of the representative estimation methods for transmission line parameters

but this method is prone to problems such as the measurement error. Based on the theory of uncertainty in measurement

a novel parameter estimation method

the ASE with the maximum normal measurement rate (MNMR) as its objective function

is proposed. Unlike the traditional ASE method

the proposed method is aimed at maximizing the normal measurement rate (NMR) based on the information of uncertainty in measurement

while taking into account the actual power flow and physical constraints of the power system. Furthermore

Gauss kernel density estimation and point estimation are used to extract the statistical characteristics of estimation results. Simulation results show that the proposed method has inherited the robust characteristic of MNMR robust SE

which is not easily affected by measurement error and can yield more rational parameters.