Evaluation of Zero and Negative Sequence Currents Influence of Asymmetric Load on the Power Losses and Quality in Distribution Networks

Elkholy, Ahmed M.; Panfilov, Dmitry I.; El Gebaly, Ahmed E.

doi:10.1109/edm58354.2023.10225208

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…As unsymmetrical faults, particularly Single-Line to Ground Fault (SLGF), constitute the majority of faults in a distribution network, the symmetrical components of cable currents can be regarded as a reliable predictor of fault locations [54][55][56]. Figure 5 shows a case of a fault occurring in an arbitrary fault location f at a distance per cent x from node l. Assuming that the cable impedance is equally distributed through the cable, and that a total cable impedance of z lm is between nodes l and m, the impedance between node m and the fault point f can also be referred to as (1 − x) • z lm .…”

Section: Fault Identification ML Features Engineering 241 Smart Meter...mentioning

confidence: 99%

Fault Detection and Localisation in LV Distribution Networks Using a Smart Meter Data-Driven Digital Twin

Numair,

Aboushady,

Arraño-Vargas

et al. 2023

Energies

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Modern solutions for precise fault localisation in Low Voltage (LV) Distribution Networks (DNs) often rely on costly tools such as the micro-Phasor Measurement Unit (μPMU), which is potentially impractical for the large number of nodes in LVDNs. This paper introduces a novel fault detection technique using a distribution network digital twin without the use of μPMUs. The Digital Twin (DT) integrates data from Smart Meters (SMs) and network topology to create an accurate replica. In using SM voltage-magnitude readings, the pre-built twin compiles a database of fault scenarios and matches them with their unique voltage fingerprints. However, this SM-based voltage-only approach shows only a 70.7% accuracy in classifying fault type and location. Therefore, this research suggests using the cables’ Currents Symmetrical Component (CSC). Since SMs do not provide direct current data, a Machine Learning (ML)-based regression method is proposed to estimate the cables’ currents in the DT. Validation is performed on a 41-node LV distribution feeder in the Scottish network provided by the industry partner Scottish Power Energy Networks (SPEN). The results show that the current estimation regressor significantly improves fault localisation and identification accuracy to 95.77%. This validates the crucial role of a DT in distribution networks, thus enabling highly accurate fault detection when using SM voltage-only data, with further refinements being conducted through estimations of CSC. The proposed DT offers automated fault detection, thus enhancing customer connectivity and maintenance team dispatch efficiency without the need for additional expensive μPMU on a densely-noded distribution network.

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Section: Fault Identification ML Features Engineering 241 Smart Meter...mentioning

confidence: 99%

Fault Detection and Localisation in LV Distribution Networks Using a Smart Meter Data-Driven Digital Twin

Numair,

Aboushady,

Arraño-Vargas

et al. 2023

Energies

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Assessment of Various Technologies Influence to Reduce the Impact of Single-Phase Earth Faults in Distribution Systems with an Isolated Neutral

Elkholy,

Panfilov,

Astachev

2024

2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

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Analysis of the Influence of Symmetrical Devices on the Operating Modes of Distribution Networks

Elkholi,

Panfilov,

Astashev

et al. 2024

Russ. Electr. Engin.

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Evaluation of Zero and Negative Sequence Currents Influence of Asymmetric Load on the Power Losses and Quality in Distribution Networks

Cited by 3 publications

References 20 publications

Fault Detection and Localisation in LV Distribution Networks Using a Smart Meter Data-Driven Digital Twin

Fault Detection and Localisation in LV Distribution Networks Using a Smart Meter Data-Driven Digital Twin

Assessment of Various Technologies Influence to Reduce the Impact of Single-Phase Earth Faults in Distribution Systems with an Isolated Neutral

Analysis of the Influence of Symmetrical Devices on the Operating Modes of Distribution Networks

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