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IEEE Power and Energy Conference at Illinois (PECI)

作者： Jiao, Xiangqing Liao, Yuan Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA

ISBN: (纸本)9781509055500

Transmission line parameters are critical inputs to a variety of power system analysis algorithms. To ensure the precision of line parameters, this paper proposes a novel linear method to estimate transmission line parameters, including series resistance, series reactance, and shunt susceptance, for non-compensated and series-compensated lines. Voltage and current phasors obtained by phasor measurement units (PMUs) from both ends are utilized in the algorithm. Linear least squares method is applied when multiple sets of measurements are available for improved accuracy. Distributed parameter line model is employed in developing the algorithm. An optimal estimator is also proposed, which can detect and identify possible measurement errors, although this type of method is no longer linear. The estimated line parameters can be used to determine line temperature and conductor sag. Evaluations studies demonstrate the effectiveness of the proposed methods.

关键词： bad measurement detection and identification distributed parameter line model linear estimation transmission line parameter estimation

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Online Optimal Transmission Line Parameter Estimation for Relaying Applications

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IEEE TRANSACTIONS ON POWER DELIVERY 2009年第1期24卷 96-102页

作者： Liao, Yuan Kezunovic, Mladen Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

Transmission line protective relaying algorithms usually require transmission line parameters as inputs and thus accuracy of line parameters plays a pivotal role in ensuring the reliable performance of relaying algorithms. Online estimation of line parameters is highly desirable and various methods have been proposed in the past. These methods perform well when the measurements utilized are accurate;they may yield erroneous results when the measurements contain considerable, errors. Based on nonlinear optimal estimation theory, this paper puts forward an optimal estimator for deriving the positive sequence line parameters, capable of detecting and identifying the bad measurement data, minimizing the impacts of the measurement errors and thus significantly improving the estimation accuracy. The solution is based on the distributed parameter line model and thus fully considers the effects of shunt capacitances of the line. Case studies based on simulated data are presented for demonstrating the effectiveness of the new approach.

关键词： bad measurement detection and identification distributed parameter line model non-linear estimation theory transmission line parameter estimation

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Optimal estimate of transmission line fault location considering measurement errors

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IEEE TRANSACTIONS ON POWER DELIVERY 2007年第3期22卷 1335-1341页

作者： Liao, Yuan Kezunovic, Mladen Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

Various transmission line fault location algorithms have been proposed in the past depending on the measurements available. These algorithms perform well when the measurements utilized are accurate;they may yield erroneous results when the measurements contain considerable errors. In some cases, there are redundant measurements available for fault location purposes, and it may be possible to design an optimal estimator for the fault location based on nonlinear estimation theories. This paper aims at proposing a possible method for deriving an optimal estimate of the fault location that is capable of detecting and identifying the bad measurement data, minimizing the impacts of the measurement errors and thus significantly improving the fault location accuracy. The solution is based on the distributed parameter line model and thus fully considers the effects of shut capacitances of the line. Since field data are not available, case studies based on simulated data are presented for demonstrating the effectiveness of the new method.

关键词： bad measurement detection and identification distributed parameter line model fault location nonlinear estimation theory optimal estimator

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Algorithms for power system fault location and line parameter estimation

Algorithms for power system fault location and line paramete...

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39th Southeastern Symposium on System Theory

作者： Liao, Yuan Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA

ISBN: (纸本)9781424410514

This paper presents a novel power system transmission line fault location algorithm that is applicable for the scenarios where transmission line parameters are not available. A set of equations involving the unknown fault location are formulated based on pre-fault and fault data, solution to which leads to the fault location. A method is also described for determining the positive sequence tine parameters by utilizing pre-fault data, which are then harnessed to estimate fault location together with the fault data.

关键词： fault location transmission line parameter estimation non-linear estimation theory bad measurement detection and identification distributed parameter fine model

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