Parameters Estimation for Short Line Using the Least Trimmed Squares (LTS)

Momen, Ahmed; Johnson, Brian K.; Chakhchoukh, Yacine

doi:10.1109/isgt.2019.8791579

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…In this study, the weighted least trimmed squares (LTS) method was used to fit the cross-section point cloud and resist the adverse effects of abnormal data. The LTS concept is a robust estimation method with a high breakdown point [32,33]. In the case of a large proportion of noise and gross error, it can also resist its adverse influence on regression analysis results and obtain a best fitting effect.…”

Section: Iterative Optimal Ellipse Fittingmentioning

confidence: 99%

Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning

Gong

et al. 2022

Remote Sensing

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The convergence diameter of shield tunnels is detected by ellipse fitting or local curve fitting to cross-section points. However, the tunnel section, which is extruded by an external force, has an irregular elliptical shape, and the waist of the tunnel is often blocked by accessories, resulting in data loss. This study proposes a convergence diameter and radial dislocation detection method based on block-level fitting. The proposed method solves the accuracy degradation caused by the model error and point cloud incompletion. First, the noise points in the tunnel section point cloud are removed using the least trimmed squares method. Second, the tunnel transverse seam is then located using the image edge detection algorithm. Third, the endpoint of the convergence diameter is determined by making a specific segment the center and shifting the detector from the center to the pinpoint. Finally, the convergence diameter and radial dislocation are detected by the endpoints of the segments. The experimental results showed that the absolute detection accuracy of this method was better than 3 mm, and the repeated detection accuracy was better than 2 mm. This result is consistent with prior total station measurements, which are more suitable for practical engineering applications.

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Section: Iterative Optimal Ellipse Fittingmentioning

confidence: 99%

Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning

Gong

et al. 2022

Remote Sensing

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“…Different online methods have been proposed in [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] to estimate line parameters considering the line length, specific line configurations, data availability, etc. The methods for estimating zero-sequence line parameters are proposed in [11][12][13]. The author of [14] proposed a method for identifying and estimating erroneous transmission line parameters.…”

Section: Introductionmentioning

confidence: 99%

“…In [18], a Kalman filter based recursive regression method was proposed to estimate three-phase line parameters of non-transposed and non-symmetric medium length lines. A moving-window total least squares algorithm was proposed in [19] to estimate the parameters of a long transmission line. The method treats parameters as constant during a time window.…”

Section: Introductionmentioning

confidence: 99%

Kalman filter based method for tracking dynamic transmission line parameters

Zhang

Liao

2021

SN Appl. Sci.

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Transmission line parameters are required by various power system applications. Thus, it is important to develop accurate transmission line parameter estimation methods. This paper puts forward Kalman filter based methods to track the dynamically changing line parameters. The proposed methods can overcome the estimation inaccuracy problem caused by the effect of the noise in the measurements. The proposed methods are based upon the equivalent- circuit of long line and utilize voltage and current data recorded by the Phasor Measurement Units at both ends of the line. Non-compensated and differently configured series compensated lines have been considered in this paper. The case studies demonstrate that the proposed methods have the capability of dynamically tracking changing line parameters and yield accurate estimates with the presence of measurement noises.

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“…attention [15], [16], [17], [18], [19], [20]. PMUs, along with ITs, are used to obtain time-synchronous phasor measurements of nodal phase-to-ground voltages and terminal currents at both ends of a TL.…”

mentioning

confidence: 99%

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines From Synchrophasor Measurements

Wehenkel

Mukhopadhyay

Boudec

et al. 2020

IEEE Trans. Instrum. Meas.

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We present a new approach for estimating the parameters of three-phase untransposed electrically short transmission lines using voltage/current synchrophasor measurements obtained from phasor measurement units. The parameters to be estimated are the entries of the longitudinal impedance matrix and the shunt admittance matrix at the rated system frequency. Conventional approaches relying on the admittance matrix of the line cannot accurately estimate these parameters for short lines, due to their high sensitivity to measurement noise. Our approach differs from the conventional ones in the following ways: First, we model the line by the three-phase transmittance matrix that is observed to be less sensitive to measurement noise than the admittance matrix. Second, we compute an accurate noise covariance matrix using the realistic specifications of noise introduced by instrument transformers and phasor measurement units. This noise covariance matrix is then used in least-squares-based estimation methods. Third, we derive different least-squares-based estimation methods based on a statistical model of estimation and show that the weighted leastsquares and the maximum likelihood methods, which make use of the noise covariance matrix produce the best estimates of the line parameters. Finally, we apply the proposed methods to a real dataset and show that our approach significantly outperforms existing ones. I. INTRODUCTION Fundamental functionalities used in the operation of power grids, e.g., state estimation (SE) [1], [2], [3], optimal power flow (OPF)-based control [4], [5], [6], [7], , Model Predictive Control [8], [9] and optimal relay tuning [10], [11], require the knowledge of transmission line (TL) parameters at the rated system frequency. Conventionally, TL parameters are obtained either by using the physical properties of the line (such as conductor dimensions, types of wires, tower geometries, ground electrical parameters) [12], [13] or by making measurements on the line when it is off-grid [14]. The first method is applicable only when accurate conductor characteristics are known, whereas the second method, although reliable, is time consuming and difficult to implement in practice. With the availability of highly accurate measurement devices, e.g., phasor measurement units (PMUs), instrument transformers (ITs), estimation methods based on measurements from these devices have gained significant research

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Parameters Estimation for Short Line Using the Least Trimmed Squares (LTS)

Cited by 6 publications

References 14 publications

Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning

Shield Tunnel Convergence Diameter Detection Based on Self-Driven Mobile Laser Scanning

Kalman filter based method for tracking dynamic transmission line parameters

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines From Synchrophasor Measurements

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