Development of Technical Solutions for Digital Substations Using Ddigital Instrument Combined Current and Voltage Transformers

Topolskiy, D.V.; Yumagulov, N.I.; Galiyev, A.L.

doi:10.1109/icieam.2018.8728679

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…The smart system must be resistant to wind load and remain operational under ice formation. It is proposed to use such digital current and voltage converters as digital smart sensors (DSS) [8] information, fixed on the phase conductors of the line, operating under phase wire potential [9,10]. Communication with the smart-system cabinet located on the line support will be realized by means of a dielectric optical cable (short-circuit bridges are excluded in case of cable breaks).…”

Section: Methodsmentioning

confidence: 99%

High-voltage smart electricity metering of 110 kV digital electric networks

Yurov

Voronov²,

Lukonin³

et al. 2021

E3S Web Conf.

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Were considered the technical solutions sufficient for the development of smart systems for automatic information and measurement metering of electrical energy and monitoring of overhead power transmission lines of the 110-220 kV electrical grids, considering the integration of the data flow into Scada-systems of digital substation workplaces in all the accordance with the standard protocols of IEC 61850. The device allows you to control the quality of transmitted electricity, remotely monitor the condition of the line, thereby increasing the reliability of power supply and power flows in the power system, reducing the cost of operational teams for their inspection.

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Section: Methodsmentioning

confidence: 99%

High-voltage smart electricity metering of 110 kV digital electric networks

Yurov

Voronov²,

Lukonin³

et al. 2021

E3S Web Conf.

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“…A current transformer is a special type of transformer that works by reducing a large current to a small current in a certain proportion, providing accurate and reliable signals for measuring and protecting equipment [1][2][3]. As a component of electric energy metering devices, many governments require current transformers to be subjected to periodic error testing as a part of electrical energy equipment maintenance.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Correlation Analysis for Predicting Current Transformer Errors in Smart Grids

Zhong,

Li,

Przystupa

et al. 2024

Energies

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The online calibration method for current transformers is an important research direction in the field of smart grids. This article constructs a transformer error prediction model based on spatiotemporal integration. This model draws inspiration from the structure of forgetting gates in gated loop units and combines it with a graph convolutional network (GCN) that is good at capturing the spatial relationships within the graph attention network to construct an adaptive GCN. The spatial module formed by this adaptive GCN is used to model the spatial relationships in the circuit network, and the attention mechanism and gated time convolutional network are combined to form a time module to learn the temporal relationships in the circuit network. The layer that combines the time and space modules is used, which consists of a gating mechanism for spatiotemporal fusion, and a transformer error prediction model based on a spatiotemporal correlation analysis is constructed. Finally, it is verified on a real power grid operation dataset, and compared with the existing prediction methods to analyze its performance.

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“…Finally, crucial assets that must work in all possible network conditions are the instrument transformers (ITs). Their correct behavior is crucial for different purposes, (i) measurements for billing [27][28][29], (ii) measurements to feed management and control algorithms for DSOs and utilities [30][31][32][33][34][35][36], (iii) knowledge of the network parameters. Consequently, studies on ITs behavior at non-rated conditions, including effects of a low PQ, are always vivid and current.…”

Section: Introductionmentioning

confidence: 99%

A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class

Mingotti

Peretto

Tinarelli

2020

Sensors

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Power quality is a wide-ranging and current topic that involves a huge effort from the scientific community. Power quality issues have to be avoided or solved in order to preserve the integrity of the network and its assets. To this purpose, several power quality indexes and measurement techniques have been developed and used by experts. This paper aims at solving the issue of having an uncertainty associated to the total harmonic distortion (THD) measurements. The idea is to obtain a close-form expression, which only requires the knowledge of the instrument transformer accuracy class, to estimate the mean value and the variance of THD. After the development of such an expression, it has been tested and stressed to confirm its effectiveness and applicability in a variety of conditions, and for harmonics up to 25th (of 50 Hz), defined by the standards.

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Development of Technical Solutions for Digital Substations Using Ddigital Instrument Combined Current and Voltage Transformers

Cited by 5 publications

References 8 publications

High-voltage smart electricity metering of 110 kV digital electric networks

High-voltage smart electricity metering of 110 kV digital electric networks

Spatiotemporal Correlation Analysis for Predicting Current Transformer Errors in Smart Grids

A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class

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