Frequency response of revenue meters in measured active energy

Novotný, Jan; Drápela, Jiří; Topolánek, David

doi:10.1109/ichqp.2016.7783309

Cited by 12 publications

(8 citation statements)

References 10 publications

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“…The centre frequency of the first group is 2.1 kHz for a 50 Hz system. The output Y B,b of each band is the rms value calculated according to (1).…”

Section: A Iec Standardsmentioning

confidence: 99%

“…However, the BW error is extremely close to this value around the 2 kHz frequency. 10 2 HF %one frequenc( (kH)) 10 1 10 2 HF %one frequenc( (kH)) Fig. 6.…”

Section: A Single Tonementioning

confidence: 99%

“…Such emissions are already reported to cause certain problems in the power system, e.g. they can introduce errors in revenue meters and control systems and they can also accelerate the ageing of electronic components within household equipment, as well as network components [1]- [3]. However, there is still much work to be done to better understand all possible consequences that HF distortion may have on the power system.…”

Section: Introductionmentioning

confidence: 99%

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Proposal of a Desynchronized Processing Technique for Assessing High-Frequency Distortion in Power Systems

Collin

Djokić

Drápela

et al. 2019

IEEE Trans. Instrum. Meas.

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Assessing high frequency (HF) distortion in power systems is a new challenge in the framework of in-situ power quality monitoring. The IEC suggests the use of a high-pass filter in the measurement chain, which can be analog (with a dedicated channel for HF assessment) or integrated in its digital form into the signal processing stage, in order to reduce the measurement uncertainty. This paper proposes a desynchronized processing technique (DPT) as an effective alternative to the other digital filtering techniques presented in literature, which also allows for a potential simplification of the measurement hardware. The DPT performance is analyzed by means of numerical experiments and laboratory measurements performed using two different test beds and both 16 and 24 bit analog to digital converters (ADCs). The test beds are used to evaluate the combined contribution of the ADC and the signal processing stage to the whole measurement chain uncertainty and identify achievable accuracy levels for different frequency ranges and magnitudes of HF distortion. The results highlight the strengths of the DPT compared to other techniques and demonstrates its potential to include HF in a comprehensive waveform distortion assessment in power systems.

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“…The centre frequency of the first group is 2.1 kHz for a 50 Hz system. The output Y B,b of each band is the rms value calculated according to (1).…”

Section: A Iec Standardsmentioning

confidence: 99%

“…However, the BW error is extremely close to this value around the 2 kHz frequency. 10 2 HF %one frequenc( (kH)) 10 1 10 2 HF %one frequenc( (kH)) Fig. 6.…”

Section: A Single Tonementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proposal of a Desynchronized Processing Technique for Assessing High-Frequency Distortion in Power Systems

Collin

Djokić

Drápela

et al. 2019

IEEE Trans. Instrum. Meas.

Self Cite

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“…In [21], eight electronic meters for electricity revenue (three single phase and five three-phase) were tested according to the standard EN 50470-3, but extending the frequency range up to 3 kHz. For this test, an Omicron CMC 256+ generator was employed for the voltage and current signals for the meters and an NI 9239 card was used to monitor the pulsed output of the meters.…”

Section: A Performance Tests Reviewmentioning

confidence: 99%

Challenges for Smart Electricity Meters due to Dynamic Power Quality Conditions of the Grid: A Review

Cetina

Roscoe

Wright

2017

2017 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)

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Abstract-During the last few years, Smart Electricity Meters have been deployed in several countries all around the world, replacing the trustable Electromechanical meter and even other electronic meters. Since the early deployments, many concerns and complaints from customers which do not trust Smart Meters accuracy have appeared. As a result, researchers of different institutions have been testing electricity meters under distorted waveform conditions and proposing methods to calibrate such meters in a more representative real world operative conditions. Applicable accuracy standards and regulations indicate a maximum distortion factor of 3% of the sinusoidal waveform for voltage and current during the calibration, which is not representative of many modern dynamic power quality scenarios. New tests and recommendations have been issued by regulatory bodies, but they are still not mandatory for meters to be certified. With many changes upcoming in the near future for the electrical Smart Grid like the inclusion of renewables, increasing non-linear loads, electric charging vehicles and other emerging technologies, the power quality conditions of the grid is expected to be significantly affected. In this paper, a review of the current and upcoming challenges for the smart meters is presented.

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“…The accuracy of static electricity meters under non-sinusoidal situations is an important topic for both academic study and public interest [1]. It is not yet properly covered by the standards [2] but has been analyzed from different perspectives [3][4][5][6][7][8][9] during the last few years. However, addressing the problem of erroneous readings on SEMs when exposed to distorted signals is a complex task [10], where a large number of variables could affect the final measurement reported by the meter.…”

Section: Introductionmentioning

confidence: 99%

Energy Metering Integrated Circuit Behavior beyond Standards Requirements

et al. 2021

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During the last few years, the accuracy of static electricity meters (SEM) has been questioned. Significant metering deviations with respect to a reference meter have been observed at customer premises, and laboratory experimental tests results support such findings. The root cause of such errors remains unknown, as there are multiple elements that could affect the accuracy of electricity meters. Furthermore, standard compliant meters exposed to distorted signals may produce negligible, positive or negative relative error depending on the instrument design. Distorted current signals with fast amplitude transitions have produced the highest error in SEMs reported in the literature. In this paper, the accuracy of an energy metering Integrated Circuit (IC) is evaluated beyond the limits of the standards requirements employing a selection of distorted signals from the standards, real-world captured signals and a set of waveforms designed to test the IC under fast changing currents conditions, which are representative of the waveforms resulting from power electronic devices. The experimental results reveal an accuracy boundary imposed by Gibb’s phenomenon for fast changing current signals and a strong relationship between the IC’s measurement error and two key parameters of the measured waveform: signal slope and phase angle. This paper therefore provides a methodology for the comprehensive analysis of SEMs in future power systems which are dominated with power electronic-controlled electrical demand and contributes to the search for the root cause of error in SEMs exposed to distorted waveforms.

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Frequency response of revenue meters in measured active energy

Cited by 12 publications

References 10 publications

Proposal of a Desynchronized Processing Technique for Assessing High-Frequency Distortion in Power Systems

Proposal of a Desynchronized Processing Technique for Assessing High-Frequency Distortion in Power Systems

Challenges for Smart Electricity Meters due to Dynamic Power Quality Conditions of the Grid: A Review

Energy Metering Integrated Circuit Behavior beyond Standards Requirements

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