Impact of Harmonics on Accuracy of Metering

Gokhale, Priya N.; Bakre, Shashikant

doi:10.1109/icicet.2018.8533844

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…The second part of the research deals with determining the impact of harmonics on the metering error for active and reactive power in the presence of capacitor banks when using various metering devices. This kind of research appears to be expedient, since calculation of reactive power flows in the presence of harmonics still remains a matter of controversy and discussion [15,16,[23][24][25], which will undoubtedly affect the readings of energy meters. The study was performed using the laboratory bench shown in Figure 2.…”

Section: Influence Of Capacitor Banks With Different Levels Of Reactive Power Compensation On the Measurement Of Active And Reactive Powementioning

confidence: 99%

Experimental Study of Harmonic Influence on Electrical Energy Metering

2020

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The paper considers the influence of harmonics on the operating of electrical energy meters in a network with nonlinear loads. It is shown that electronic static meters of active energy are tested in the presence of distortions, and electronic static meters of reactive energy accuracy requirements do not take into account the possible presence of harmonics. It is revealed that the maximum influence on the error in active energy metering is exerted by the number of harmonics taken into account and their amplitude, and the error in reactive energy metering is additionally influenced by the phase angle at the fundamental and harmonic frequencies, which has been confirmed in laboratory conditions. Additionally, experimental studies of the capacitor bank’s influence on reactive energy metering has been carried out in the presence of nonlinear electrical loads. It is shown that when capacitor banks are connected, the error in reactive energy measurement and variation range of the phase shift angle of harmonics significantly increases. The assessment of the computational error of reactive power metering according to various equations were carried out based on the field measurements. If the voltage and current distortion values do not exceed the permissible values, the error can be estimated at, at most, 5–7%.

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Section: Influence Of Capacitor Banks With Different Levels Of Reactive Power Compensation On the Measurement Of Active And Reactive Powementioning

confidence: 99%

Experimental Study of Harmonic Influence on Electrical Energy Metering

2020

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“…Approaching the ITs from a protection point of view, the inductive ones are not suitable for being connected to fast tripping switches or for recording transients in an accurate way [6,7,8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Analysis of a Test Bed for Calibrating Voltage Transformers Vs. Temperature

Mingotti

Peretto

Tinarelli

et al. 2019

Sensors

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The paper addresses the evaluation of the uncertainty sources of a test bed system for calibrating voltage transformers vs. temperature. In particular, the Monte Carlo method has been applied in order to evaluate the effects of the uncertainty sources in two different conditions: by using the nominal accuracy specifications of the elements which compose the setup, or by exploiting the results of their metrological characterization. In addition, the influence of random effects on the system accuracy has been quantified and evaluated. From the results, it emerges that the choice of the uncertainty evaluation method affects the overall study. As a matter of fact, the use of a metrological characterization or of accuracy specifications provided by the manufacturers provides respectively an accuracy of 0.1 and 0.5 for the overall measurement setup.

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Fuzzy-Based Optimization of Static Var Compensator–Injected Harmonics and System Currents of an Unbalanced Distribution Network

Bagwan

Korachagaon

Mulla

2021

Process Integr Optim Sustain

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In power distribution network, more and more people are worried about equipment failures and malfunctions caused by fluctuating loads and system harmonics due to poor power quality. The presence of harmonics can shorten the equipment's service life. There is a strong link between the energy use and the environment. Major part of power demand is supplied from thermal power stations which produce more carbon emissions as the power plant uses more fuel to generate the electricity. The effective utilization of transformer capacity is achieved by minimizing system losses and improving voltage regulation in the distribution system. Many techniques are used to address this issue, ranging from several power factor correction systems to passive and active harmonic filtering. Although distribution static compensator (DSTATCOM) is a perfect solution to solve this problem, they are expensive and have more complexity as a view against static var compensators (SVCs). This study aims to provide optimal approach for SVC switching in unbalanced operation of the distribution networks. In present work, the SVC is arranged in thyristor binary switched capacitors (TBSC)-thyristor-controlled reactor (TCR) configuration. The capacitor banks are set in binary sequence, and the optimal size reactor is decided. The TCR in SVC inherently generates the harmonics. The fuzzy logic approach is used to solve this non-linearity by determining the optimal triggering delay angle of the thyristor in TCR. This results in significant reduction in harmonics injected by the SVC. The strategy is appealing to improve efficiency of power distribution networks and thereby save natural resources required to generate electricity from thermal power stations.

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Impact of Harmonics on Accuracy of Metering

Cited by 4 publications

References 1 publication

Experimental Study of Harmonic Influence on Electrical Energy Metering

Experimental Study of Harmonic Influence on Electrical Energy Metering

Uncertainty Analysis of a Test Bed for Calibrating Voltage Transformers Vs. Temperature

Fuzzy-Based Optimization of Static Var Compensator–Injected Harmonics and System Currents of an Unbalanced Distribution Network

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