Analysis of the impact of nonlinear distortion in voltage and current curves on the errors of electric energy metering devices

Morva, Gyorgy; Волохин, Виталий Васильевич; Diahovchenko, Illia; Čonka, Zsolt

doi:10.1109/ukrcon.2017.8100296

Cited by 16 publications

(13 citation statements)

References 5 publications

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“…The frequency measurement results were concentrated in the range 49.4 Hz ≤ f rated ≤ 50.6 Hz. According to (14), this range was divided into 12 intervals of 0.1 Hz width.…”

Section: Standard Deviation (The Scatterplot Of the Values Of A Random Variable Relative To Its Median)mentioning

confidence: 99%

“…current are of a proper sinusoidal waveform, then the readings of electric energy meters will correspond to the formulas (19, 20). Hence, this is not the case when harmonic distortions are present in the power network [13,14]. The PF in (17) can be defined as…”

Section: Estimation Of the Voltage And Frequency Variations Influence On The Rlc-load-circuit Parametersmentioning

confidence: 99%

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Influence of supply voltage and frequency variations on the electrical equipment and power consumption in LV and MV distribution networks

Diahovchenko¹,

Sushchenko²,

Shulumei³

et al. 2020

energetika

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This paper is focused on the analysis of supply voltage and frequency quality in low voltage and medium voltage distribution power systems. The influence of supply voltage and frequency variations, within the limits defined in the valid standards, on the power network’s parameters has been evaluated using the stochastic theory and the statistical analysis methods. The circuit of RLC-load was considered for numerical evaluation. The probability distribution of supply voltage and frequency was defined and the suggestions on optimum voltage and frequency quality parameters regarding electric energy consumption, power losses and electrical equipment lifespan were given.

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“…The frequency measurement results were concentrated in the range 49.4 Hz ≤ f rated ≤ 50.6 Hz. According to (14), this range was divided into 12 intervals of 0.1 Hz width.…”

Section: Standard Deviation (The Scatterplot Of the Values Of A Random Variable Relative To Its Median)mentioning

confidence: 99%

Section: Estimation Of the Voltage And Frequency Variations Influence On The Rlc-load-circuit Parametersmentioning

confidence: 99%

Influence of supply voltage and frequency variations on the electrical equipment and power consumption in LV and MV distribution networks

Diahovchenko¹,

Sushchenko²,

Shulumei³

et al. 2020

energetika

Self Cite

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“…The positive energy values correspond to the case when the fundamental frequency energy and HH energy come from the mains supply to a consumer and, conversely, the negative values correspond to the case when the industrial frequency energy and HH energy head from a consumer to the network. In more detail the mechanisms of such power measurement are described in [14]. The operation principle of a suchlike meter can be defined by the following equation: (13) where W 1 is the electric energy of the industrial frequency (50 or 60 Hz); W n.gen , I n.gen , φ n.gen are the electric energy, current, and phase-shift angle of the n-th harmonic, which flows from the main grid to the load, respectively; W n.load , I n.load , φ n.load are the electric energy, current, and phase-shift angle of the n-th harmonic, which is generated by nonlinear loads and flows to the mains, respectively.…”

Section: Rc Application For Separate Measurement Of Fundamental Harmomentioning

confidence: 99%

Rogowsky coil applications for power measurement under non-sinusoidal field conditions

Diahovchenko¹,

Mykhailyshyn²,

Danylchenko³

2019

energetika

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Electric energy measurement errors depend on the design and algorithms used in electricity meters, as well as on the auxiliary and embedded sensors’ accuracy and bandwidth (or more precisely, maximum measurable frequency). Poor power quality may affect the electric energy meters accuracy, which will lead to the improper power accounting. In this article the applications of the Rogowsky coil sensors for electric energy measurement are studied. The advantages and the challenges of this sensor type implementation are discussed, and the operation scheme of the power meter for the separate measurement of the fundamental harmonic’s electric energy and the higher harmonics electric energy is proposed. The possibility of implementation of responsibility determining methods for power quality distortion is highlighted.

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“…Journal homepage: https://content.sciendo.com and their effect on the instrument's measuring principle [11]. None of the papers presented deal with the effects of a single harmonic distortion parameter on the power and energy meters' errors.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Errors in Active Power and Energy Measurements Under Random Harmonic Distortion Conditions

Demerdziev

Dimchev

2021

Measurement Science Review

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As harmonic distortion of voltage and current is reality in the power system, the need for accurate measurement of electrical power and energy goes beyond the instruments’ specifications and calibration procedures regarding pure sine wave signals. Several international standards and recommendations provide test signals for examination of electricity meters under non-sinusoidal conditions, however, not all of the test signal parameters’ possible states are faithfully represented in those documents. Because the high order harmonics may possess random amplitudes and phase shifts in relation to components at fundamental frequency, it is important that the meter’s performance is verified with random waveforms as well. The non-linear dependence between the measured power/energy and the phase shifts, both between fundamental and harmonic components, provides additional complexity of such an analysis. Simple test signals, which are in accordance with the standards’ demands and propositions, are used for determination of the measurement error in case of different harmonic distortion parameter change. In order for a general error function for any measurement device to be determined, mathematical modelling, regarding the results from multiple tests, is performed. The mathematical model presents a strong dependence between a single component’s phase shifts and a meter’s error and it provides a systematization of all signal parameters’ influence on the measurement accuracy.

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Analysis of the impact of nonlinear distortion in voltage and current curves on the errors of electric energy metering devices

Cited by 16 publications

References 5 publications

Influence of supply voltage and frequency variations on the electrical equipment and power consumption in LV and MV distribution networks

Influence of supply voltage and frequency variations on the electrical equipment and power consumption in LV and MV distribution networks

Rogowsky coil applications for power measurement under non-sinusoidal field conditions

Analysis of Errors in Active Power and Energy Measurements Under Random Harmonic Distortion Conditions

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