Fault Identification Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements

Several fault detection methods and location algorithms in the literature are founded on state estimation. In recent approaches, in most cases, the state estimation process is performed based on synchronized measurements provided by phasor measurement units (PMUs). However, coupling fault identification with phasor measurements is a challenging task, which can present several risks. Particularly, in dynamic scenarios related to faults, the traceability of the measurements could be compromised. To reduce decision-making risks, this paper proposes the application of a dynamics detection policy in a fault detection and location method based on PMU measurements. Such policy permits selecting only traceable measurements. Consequently, decision risks can be reduced. The validity of the proposed approach is confirmed by the simulations carried out by means of a Real-Time Digital Simulator (RTDS) on a three-phase CIGRE European Medium Voltage distribution network.

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Published
2024-09-18
DOI
https://doi.org/10.1109/amps62611.2024.10706699
Citations
2
Primary Topic
Smart Grid Security and Resilience
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article
Field-Weighted Citation Impact
0.66
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article

Fault Identification Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements

Carlo Sitzia, Paolo Attilio Pegoraro, Antonio Vincenzo Solinas, Daniele Carta et al.
2 citations
Smart Grid Security and Resilience
0.66
article

Fault Identification Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements

Carlo Sitzia, Paolo Attilio Pegoraro, Antonio Vincenzo Solinas, Daniele Carta, Andrea Benigni, Sara Sulis
article en
2 citations

Abstract

Several fault detection methods and location algorithms in the literature are founded on state estimation. In recent approaches, in most cases, the state estimation process is performed based on synchronized measurements provided by phasor measurement units (PMUs). However, coupling fault identification with phasor measurements is a challenging task, which can present several risks. Particularly, in dynamic scenarios related to faults, the traceability of the measurements could be compromised. To reduce decision-making risks, this paper proposes the application of a dynamics detection policy in a fault detection and location method based on PMU measurements. Such policy permits selecting only traceable measurements. Consequently, decision risks can be reduced. The validity of the proposed approach is confirmed by the simulations carried out by means of a Real-Time Digital Simulator (RTDS) on a three-phase CIGRE European Medium Voltage distribution network.

University of Cagliari (IT)
Climate action
Openalex Percentile: Top 29%
Smart Grid Security and Resilience
0.66
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Fault Identification Method in Three-Phase Distribution Networks Leveraging Traceable PMU Measurements — Carlo Sitzia, Paolo Attilio Pegoraro, et al. · (2024) | TGRS Research Map | TGRS