A General Easy-to-Use Expression for Uncertainty Evaluation in Residual Voltage Measurement

Mingotti, Alessandro; Baldi, Annalisa; Peretto, Lorenzo; Tinarelli, Roberto

doi:10.1109/tim.2019.2917694

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…For example, it was applied in [ 31 , 32 ] for line parameter estimation and in [ 33 ] for load flow estimation algorithms. The MCM was applied in [ 34 , 35 ] for the evaluation of electrical quantities. Lastly, the application of the MCM allowed to evaluate the accuracy of two setups in [ 36 , 37 ].…”

Section: Uncertainty Evaluationmentioning

confidence: 99%

Simplified and Low-Cost Characterization of Medium-Voltage Low-Power Voltage Transformers in the Power Quality Frequency Range

Mingotti

Betti

Peretto

et al. 2022

Sensors

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The distribution network is experiencing a massive deployment of intelligent electronic devices (IEDs) such as energy meters, protective devices, and phasor measurement units (PMUs). This phenomenon resulted, on the one hand, in (i) the availability of distributed measurement systems capable of monitoring and collecting measurements from the distribution network, and (ii) increasing awareness of the system operator about the status of the network. On the other hand, such a significant number of devices require to be characterized, over the years, and assessed in both sinusoidal and distorted conditions. However, the characterization process may require a huge investment of money and time considering the low availability of reference instruments and accredited laboratories. To this purpose, this paper presents a simple and fast test procedure, performed with cheap and low-voltage instrumentation, to characterize two off-the-shelf low-power medium-voltage sensors in the power quality frequency range. In detail, the paper describes the measurement setup developed for the characterization and the performed tests. In addition, the method was also reproduced with reference equipment for validation purposes. Lastly, for both tests, an uncertainty evaluation was performed to quantify the goodness of the proposed method. From the results, it is possible to appreciate that the designed cheap and simple test can achieve as accurate results as those of a sophisticated and expensive equipment.

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Section: Uncertainty Evaluationmentioning

confidence: 99%

Simplified and Low-Cost Characterization of Medium-Voltage Low-Power Voltage Transformers in the Power Quality Frequency Range

Mingotti

Betti

Peretto

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Consequently, authors started from their previous experience on evaluating the uncertainty of typical parameters (THD [24] and residual voltage [25]) to obtain the TVE mean and variance.…”

Section: Introductionmentioning

confidence: 99%

Closed-Form Expressions to Estimate the Mean and Variance of the Total Vector Error

et al. 2021

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The need for accurate measurements and for estimating the uncertainties associated with measures are two pillars for researchers and metrologists. This is particularly true in distribution networks due to a mass deployment of new intelligent electronic devices. Among such devices, phasor measurement units are key enablers for obtaining the full observability of the grid. The phasor measurement unit performance is mostly evaluated by means of the total vector error, which combines the error on amplitude, phase, and time. However, the total vector error is typically provided merely as a number, that could vary within an unknown interval. This may result into the phasor measurement unit incompliance with the final user expectancies. To this purpose, and with the aim of answering practical needs from the industrial world, this paper presents a closed-form expression that allows us to quantify, in a simple way, the confidence interval associated with the total vector error. The input required by the expression is the set of errors that typically affects the analog to digital converter of a phasor measurement unit. The obtained expression has been validated by means of the Monte Carlo method in a variety of realistic conditions. The results confirm the applicability and effectiveness of the proposed expression. It can be then easily implemented in all monitoring device algorithms, or directly by the manufacturer to characterize their devices, to solve the lack of knowledge that affects the total vector error computation.

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Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

et al. 2022

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A General Easy-to-Use Expression for Uncertainty Evaluation in Residual Voltage Measurement

Cited by 7 publications

References 11 publications

Simplified and Low-Cost Characterization of Medium-Voltage Low-Power Voltage Transformers in the Power Quality Frequency Range

Simplified and Low-Cost Characterization of Medium-Voltage Low-Power Voltage Transformers in the Power Quality Frequency Range

Closed-Form Expressions to Estimate the Mean and Variance of the Total Vector Error

Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

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