Asynchronous Phase Comparator for Characterization of Devices for PMUs Calibrator

Trinchera, Bruno; Serazio, D.; Pogliano, U.

doi:10.1109/tim.2017.2648598

Cited by 15 publications

(12 citation statements)

References 16 publications

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“…The quantity u g f 0 ð Þ can be measured with a phase comparator (COMP) (Crotti et al, 2017;Trinchera et al, 2017) and the quantity t c can be measured with a frequency counter. The phase angle, u TOT , of the DUT samples, at frequency f 0 , can be evaluated by performing the Discrete Fourier Transform (DFT) and expressed as ]F s DUT kT s ð Þ ½ j f0 ; thus, the DUT phase error, at frequency f 0 , can be calculated as…”

Section: Measurement Methodsmentioning

confidence: 99%

“…), this effect reduces its impact because phase subtraction leads to the compensation this systematic effect. Nevertheless, the issues related with measurement of the relative phase delay between two channels of the same digitizer, or two channels of two different digitizers with synchronized sampling clocks, are faced in a number of scientific papers (Bosco et al, 2011;Crotti et al, 2017;Trinchera et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty evaluation on the absolute phase error of digitizers

Femine

Gallo

Landi

et al. 2019

Transactions of the Institute of Measurement and Control

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In many engineering applications the phase angle of a signal is a key parameter. Especially when measuring small angles, the measurement accuracy is of a vital importance. Often, the absolute phase error of a digitizer, which is defined as the phase displacement between the digitized output and the input analog waveform and which represents a systematic measurement error, is neglected. Therefore, in this paper, a new measurement technique for the evaluation of this absolute phase error is discussed, along with a deep theoretical analysis on the uncertainty sources and how to handle them. The measurement technique is validated through a high accuracy experimental setup. Experimental tests demonstrate that even high accuracy digitizers can show non-linear behavior in the absolute phase errors.

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Section: Measurement Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty evaluation on the absolute phase error of digitizers

Femine

Gallo

Landi

et al. 2019

Transactions of the Institute of Measurement and Control

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“…Besides the research on the definition of accurate phasor estimation algorithms [48][49][50][51], the implementation of reference class hardware test systems is of key importance to the successful deployment of PMUs in Smart Grids. Researchers and national metrological institutes have developed in-house test facilities [52][53][54][55][56][57][58][59] and employed off-the-shelf solutions [60][61][62]. The architecture of PMU calibrators is quite consolidated.…”

Section: The Calibrator Hardware Architecturementioning

confidence: 99%

On the Importance of Characterizing Virtual PMUs for Hardware-in-the-Loop and Digital Twin Applications

Mingotti

Costa

Cavaliere

et al. 2021

Sensors

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In recent years, the introduction of real-time simulators (RTS) has changed the way of researching the power network. In particular, researchers and system operators (SOs) are now capable of simulating the complete network and of making it interact with the real world thanks to the hardware-in-the-loop (HIL) and digital twin (DT) concepts. Such tools create infinite scenarios in which the network can be tested and virtually monitored to, for example, predict and avoid faults or energy shortages. Furthermore, the real-time monitoring of the network allows estimating the status of the electrical assets and consequently undertake their predictive maintenance. The success of the HIL and DT application relies on the fact that the simulated network elements (cables, generation, accessories, converters, etc.) are correctly modeled and characterized. This is particularly true if the RTS acquisition capabilities are used to enable the HIL and the DT. To this purpose, this work aims at emphasizing the role of a preliminary characterization of the virtual elements inside the RTS system, experimentally verifying how the overall performance is significantly affected by them. To this purpose, a virtual phasor measurement unit (PMU) is tested and characterized to understand its uncertainty contribution. To achieve that, firstly, the characterization of a virtual PMU calibrator is described. Afterward, the virtual PMU calibration is performed, and the results clearly highlight its key role in the overall uncertainty. It is then possible to conclude that the characterization of the virtual elements, or models, inside RTS systems (omitted most of the time) is fundamental to avoid wrong results. The same concepts can be extended to all those fields that exploit HIL and DT capabilities.

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“…Conversely, it is observed that the level of calibrations is increased. With the aforementioned difficulties that crafts traceable magnitude and phase calibration for ac signals, active and passive components and extend the automatic finding and correcting the bias error have been analysed [10][11][12]. Despite the facts, the models detailed provide an iterative based elucidation.…”

Section: State-of-the Art Workmentioning

confidence: 99%

Phasor measuring unit calibration considering topology expansion of electric power utilities

Veeramuthu¹,

Ganesan²,

Subramanian³

2020

J. meas. eng.

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Phasor Measuring Units (PMU) is considered as a feasible alternative for power system data communication and for the preparation of smart grid. To operate multiple PMUs in stable mode, synchronization is a much essential procedure. After examining the concise literature survey on topical PMU applications, this paper step ahead by considering prevailing objectives such as: extension of network topology and PMU calibration considering bias errors. The appropriate deployment of PMUs and intimidating situation influence the reliance on physical configuration. Hence, it is obligatory to extend the topology of the networks. Also, calibrating the PMUs in a definite trail is crucial as the phasor measurements will be corrupted by bias error. This paper proposes a novel framework for bias error detection and calibration of PMU while expanding the topology network. With a whale optimization algorithm based method to improve the accuracy of PMU measurements for enhancing power system state estimation, monitoring and control operations. Case studies on the standard test systems have been conducted to test the efficacy of the intended tool.

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Asynchronous Phase Comparator for Characterization of Devices for PMUs Calibrator

Cited by 15 publications

References 16 publications

Uncertainty evaluation on the absolute phase error of digitizers

Uncertainty evaluation on the absolute phase error of digitizers

On the Importance of Characterizing Virtual PMUs for Hardware-in-the-Loop and Digital Twin Applications

Phasor measuring unit calibration considering topology expansion of electric power utilities

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