Utilization of PMU Measurements for Three-Phase Line Parameter Estimation in Power Systems

Milojevic, Vladimir; Calija, Srdan; Rietveld, G.; Acanski, Milos; Colangelo, Daniele

doi:10.1109/tim.2018.2843098

Cited by 55 publications

(63 citation statements)

References 7 publications

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“…Therefore, multiple times of LSE are to be performed using different sets of the original PMU data, instead of using the complete dataset at once. Taking advantage of the error's unbiased characteristic, the average of the multiple estimation results is used to eliminate the second part in RHS of (15). The final estimation results can be reached using only the quantized data, as shown in (16).…”

Section: A Single Transmission Line Parameters Estimation Modelmentioning

confidence: 99%

“…4) The edge-based breadth-first search algorithm is proposed to identify the sequence of the TLs to be estimated. As in previous studies [15], [17], the accuracy propagation methods were usually not discussed in detail. The introduction of this method provides a systematic way to find the system topology to propagate the accuracy acquired with the single TL estimation throughout the whole network.…”

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confidence: 99%

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Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model

et al. 2019

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Phasor Measurement Unit measurement data have been widely used in nowadays power system applications both in steady state and dynamic analysis. The performance of these applications running in utilities' energy management system depends heavily on an accurate positive sequence power system model. However, it is impractical to find this accurate model with transmission line parameters calculated directly with the PMU measurements due to ratio errors brought by instrument transformers and communication errors brought by PMUs. Therefore, a methodology is proposed in this paper to estimate the actual transmission lines parameters throughout the whole system and, at the same time, calibrate the corresponding instrument transformers. A PMU positive sequence measurement error model is proposed targeting at the aforementioned errors, which is applicable to both transposed and un-transposed transmission lines. A single line parameters estimation method is designed based on Least Squares Estimation and this error model. This method requires only one set of reference measurements and the accuracy can be propagated throughout the whole network along with the topology acquired by the introduced Edge-based Breadth-first Search algorithm. The IEEE 118-bus system and the Texas 2000-bus system are used to demonstrate the effectiveness and efficiency of the proposed method. The potential for deployment in reality is also discussed. P REV PS ratio error on voltage measurement , P ut REV PS ratio error on voltage measurement of untransposed TL ph  Complex value indicating single-phase deviation from PS Z Impedance matrix of one single TL i KV Correction factor of i REV i KI Correction factor of i REI iM V  PS quantization error on iM V , iM q V Actual quantized PS voltage measurement on bus i output by PMU , iM q I Actual quantized PS current measurement on bus i output by PMU real K Real part of correction factors imag K Imaginary part of correction factors   true real

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Section: A Single Transmission Line Parameters Estimation Modelmentioning

confidence: 99%

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confidence: 99%

Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model

et al. 2019

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“…Measurement-based p.u.l. parameters estimation methods for LTC have been developed in existing works [14]- [17]. The p.u.l.…”

Section: Introductionmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

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

Zhou

Chen

2018

2018 IEEE 4th Southern Power Electronics Conference (SPEC)

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This paper presents an impedance-based modelling method for length-scalable long transmission cable (LTC), which is able to assess influence of LTC on stability of grid-connected inverter (GCI). Electrical parameters of power cable in perunit-length (p.u.l.) are first extracted from the measured terminal short-circuited and open-circuited admittances. Then, the terminal admittance of power cable in different length can be derived on the basis of the obtained p.u.l. parameters. Finally, a decoupled two-port circuit model is established for the LTC using the derived terminal admittance. Simulation results are given to validate effectiveness of the proposed impedancebased modelling method for LTC. The proposed impedancebased modelling method is able to avoid repetitive terminal impedance measurement. Also, the proposed model is able to support impedance-based stability criterion for GCI with lengthscalable LTC. Index Terms-Grid-connected inverter, impedance-based stability analysis, long transmission cable, p.u.l. parameters, twoport circuit.

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“…However, as reported in [24], the method requires prior knowledge of the ranges of the parameters to have an acceptable accuracy of estimation and to avoid the presence of outliers in the data. A robust method for estimating three-phase parameters of untransposed lines is proposed in [25], where the main focus is to reduce the effect bad-data or outliers without the need for separate bad-data detection algorithms. Recently, a method based on trimmed least squares techniques has been proposed for parameters estimation of TLs from data measured in single pole open conditions.…”

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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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Utilization of PMU Measurements for Three-Phase Line Parameter Estimation in Power Systems

Cited by 55 publications

References 7 publications

Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model

Transmission Lines Positive Sequence Parameters Estimation and Instrument Transformers Calibration Based on PMU Measurement Error Model

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

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

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