Online estimation of synchronous generator parameters using PRBS perturbations

Vermeulen, H.J.; Strauss, J. M.; Shikoana, V.

doi:10.1109/tpwrs.2002.800915

Cited by 43 publications

(20 citation statements)

References 16 publications

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“…PRBS probing is one of the popular probing techniques applied to derive equivalent models for the control-design purposes [11]. In the proposed scheme, the MATLAB function "idinput" is customized to produce the PRBSs with the appointed duration, levels and frequency content, which are then used in a transient stability program to stimulate the originally steady system.…”

Section: Pseudo-random Binary Signal (Prbs) Probingmentioning

confidence: 99%

Optimization and coordination of wide-area damping controls for enhancing the transfer capability of interconnected power systems

Xie

Lü

2008

Electric Power Systems Research

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Section: Pseudo-random Binary Signal (Prbs) Probingmentioning

confidence: 99%

Optimization and coordination of wide-area damping controls for enhancing the transfer capability of interconnected power systems

Xie

Lü

2008

Electric Power Systems Research

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“…In general, according to the data used, they can be classified into three classes, i.e., the calculation methods [7][8], the off-line test based identification methods [9][10][11] and the on-line data based identification methods [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

A new robust identification method for Xq of synchronous generator with steady-state PMU data

Xue

Zhang

et al. 2013

2013 IEEE Power &Amp; Energy Society General Meeting

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This paper proposes a robust on-line identification method for the synchronous generator's quadrature-axis synchronous reactance Xq with steady-state PMU (Phasor Measurement Unit) data. Firstly, the mathematical formulation for identification of Xq, which is a least square estimation with the objective of terminal voltage fiting is introduced. And then, the robust Huber estimation, which can eliminate the effects of gross errors among measured data, is presented. Furthermore, the Huber estimation is applied to identification for Xq by modifying its objective function. Simulation results with PSASP data verify the high accuracy and robustness of the proposed method in different situations. Moreover, simulation results with the field data of a 667-MVA generator show the effectiveness of the proposed approaches.Index Terms--quadrature-axis synchronous reactance; on-line parameter identification; robust least squares; Huber estimation I.

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“…Techniques to determine synchronous-machine model parameters can be viewed as two groups: frequency and time domain techniques [1][2][3][4][5][6][7][8][9][10][11][12]. Some of these tests can be applied to a running machine and other to a still machine.…”

Section: Introductionmentioning

confidence: 99%

“…The response to an impulse signal could be the most important excitation signal since it reveals the transfer function of the system. The pseudorandom binary sequence perturbation (PRBS) was used to feed an automatic voltage regulator to obtain first-order model-parameters for daxis and q-axis, [7]. And at last, virtual instruments developed in LabVIEW™ [11,12], carries out frequency response tests for electrical-machine parameter-estimation.…”

Section: Introductionmentioning

confidence: 99%

A virtual testbed for characterizing synchronous generators based on time domain tests

Sellschopp

Cisneros

Arjona

et al. 2008

2008 18th International Conference on Electrical Machines

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Characterization of synchronous machine is a matter of interest for several investigators; various sizes of synchronous machines have been used, from fractional power to hundreds of MW. In this sense, different tests have been emerged and consequently their methodology to implement them. Those tests have different impact on the synchronous machine, since the excitation signal has a richness of excitation; the viewpoint is that the response signal has the ability to excite the machine time constants. Thus different tests can obtain a different parameter set from the system. This work is about programming LabVIEW™ as a function generator to acquire experimental data and to determine a set of parameter for a 7 kVA salient-pole synchronous generator and to carry out its spectral analysis in order to determine richness of response signal excitation.

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Online estimation of synchronous generator parameters using PRBS perturbations

Cited by 43 publications

References 16 publications

Optimization and coordination of wide-area damping controls for enhancing the transfer capability of interconnected power systems

Optimization and coordination of wide-area damping controls for enhancing the transfer capability of interconnected power systems

A new robust identification method for Xq of synchronous generator with steady-state PMU data

A virtual testbed for characterizing synchronous generators based on time domain tests

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