Measurement-Based Transmission Line Parameter Estimation With Adaptive Data Selection Scheme

Abstract

Abstract-Accurate parameters of transmission lines are critical for power system operation and control decision making. Transmission line parameter estimation based on measured data is an effective way to enhance the validity of the parameters. This paper proposes a multi-point transmission line parameter estimation model with an adaptive data selection scheme based on measured data. Data selection scheme, defined with time window and number of data points, is introduced in the estimation model as additional variables to optimize. The data selection scheme is adaptively adjusted to minimize the relative standard deviation (RSD) of estimated parameters. An iterative technique derived from the Newton method is adopted to solve the proposed model by fitting the relationship between the RSD and data selection scheme with exponential functions. Simulated data are applied to illustrate the performance of the proposed model. Some 500kV transmission lines from a provincial power system of China are estimated to demonstrate the applicability of the presented model. The superiority of the proposed model over fixed data selection schemes is also verified.Index Terms-Adaptive data selection, parameters estimation, power systems, supervisory control and data acquisition system (SCADA), transmission line, wide area measurement system (WAMS)

Mutually Coupled Transmission Line Parameter Estimation and Voltage Profile Calculation Using One Terminal Data Sampling and Virtual Black-Box

“…The simulation results illustrate that the proposed parameter identification and voltage profile calculation methods offer higher precisions compared to the other works in the literature [6], [7], [9], [12], [13], [33]. This efficiently transient voltage evaluating and transmission line parameter identifying method can be useful for other researches, such as power system transient stability [34], fault location, insulation coordination, and locating of surge arresters in the middle of overhead transmission lines [35].…”

“…An orthogonal distance regression approach for solving zero sequence parameter estimation problem, discussing the different types of zero sequence network configurations is proposed in [12], considering noise in synchrophasor measurements, and the authors generalized the method of total least squares to the non-linear parameter estimation problem. An iterative technique derived from the Newton method is adopted to solve a multi-point transmission line parameter estimation model in [13]. Reference [14] outlines an approach for estimating the positive sequence line parameters in steady state conditions and describes its capability of detecting and identifying bad data of measurement errors and minimizing the impacts of them.…”

Impedance-Based Modelling Method for Length-Scalable Long Transmission Cable for Stability Analysis of Grid-Connected Inverter

“…Substituting (17) into (15), it can be found that, γ cal ≈ γ theo = (sL + R )sC (18) It shows that the proposed method can correctly extract the propagation constant γ theo from the measured one-end shortcircuited admittance Y short and the measured one-end opencircuited admittance Y open .…”

“…The propagation constant γ cal which is calculated using the proposed method in this paper can be obtained by (11), shown as, where γ theo = (sL + R )sC is the theoretical propagation constant. (15) provides the relationship between the derived propagation constant using terminal admittances and the theoretical propagation constant.…”

“…Phasor measurement unit, supervisory control and data acquisition and wide area measurement system are adopted to measure voltage, current and power at both terminals of transmission lines to identify the p.u.l. parameters [15]- [17]. However, the purpose of the aforementioned p.u.l.…”