First-Fault Detection in DC Distribution with IT Grounding Based on Sliding Discrete Fourier-Transform

Rafael Pena-Alzola; Michal Sztykiel; Catherine E. Jones; Patrick J. Norman; Gareth Moore; Josep Pou; Graeme M. Burt

doi:10.1109/TPEL.2020.3026985

First-Fault Detection in DC Distribution with IT Grounding Based on Sliding Discrete Fourier-Transform

Rafael Pena-Alzola^*, Michal Sztykiel, Catherine E. Jones, Patrick J. Norman, Gareth Moore, Josep Pou, Graeme M. Burt

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Since dc distribution minimizes the number of power conversion stages, it lowers the overall cost, power losses, and weight of a power system. Critical systems use IT grounding because it is tolerant to the first-fault. Hence, this is an attractive option for hybrid electric aircraft (HEA), which combines gas engines with electric motors driven by power electronic converters. This letter proposes an accurate implementation for the procedure of first-fault detection with IT grounding. The ac component injection along with the sliding discrete Fourier transform (SDFT) is used to estimate the fault impedance. The procedure is very accurate due to the heavy filtering of the implicit moving average filter. Further computation savings are obtained by using the double look-up tables, and the Goertzel algorithm for the SDFT. Results are validated by simulations and experiments.

Original language	English
Article number	9206064
Pages (from-to)	3649-3654
Number of pages	6
Journal	IEEE Transactions on Power Electronics
Volume	36
Issue number	4
DOIs	https://doi.org/10.1109/TPEL.2020.3026985
Publication status	Published - Apr 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

ASJC Scopus Subject Areas

Electrical and Electronic Engineering

Keywords

Goertzel Algorithm
grounding
hybrid electric aircraft (HEA)
IT systems
moving average filter (MAF)
permanent insulation monitor (PIM)
sliding discrete fourier transform (SDFT)

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10.1109/TPEL.2020.3026985

Cite this

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title = "First-Fault Detection in DC Distribution with IT Grounding Based on Sliding Discrete Fourier-Transform",

abstract = "Since dc distribution minimizes the number of power conversion stages, it lowers the overall cost, power losses, and weight of a power system. Critical systems use IT grounding because it is tolerant to the first-fault. Hence, this is an attractive option for hybrid electric aircraft (HEA), which combines gas engines with electric motors driven by power electronic converters. This letter proposes an accurate implementation for the procedure of first-fault detection with IT grounding. The ac component injection along with the sliding discrete Fourier transform (SDFT) is used to estimate the fault impedance. The procedure is very accurate due to the heavy filtering of the implicit moving average filter. Further computation savings are obtained by using the double look-up tables, and the Goertzel algorithm for the SDFT. Results are validated by simulations and experiments.",

keywords = "Goertzel Algorithm, grounding, hybrid electric aircraft (HEA), IT systems, moving average filter (MAF), permanent insulation monitor (PIM), sliding discrete fourier transform (SDFT)",

author = "Rafael Pena-Alzola and Michal Sztykiel and Jones, {Catherine E.} and Norman, {Patrick J.} and Gareth Moore and Josep Pou and Burt, {Graeme M.}",

note = "Publisher Copyright: {\textcopyright} 1986-2012 IEEE.",

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T1 - First-Fault Detection in DC Distribution with IT Grounding Based on Sliding Discrete Fourier-Transform

AU - Pena-Alzola, Rafael

AU - Sztykiel, Michal

AU - Jones, Catherine E.

AU - Norman, Patrick J.

AU - Moore, Gareth

AU - Pou, Josep

AU - Burt, Graeme M.

PY - 2021/4

Y1 - 2021/4

N2 - Since dc distribution minimizes the number of power conversion stages, it lowers the overall cost, power losses, and weight of a power system. Critical systems use IT grounding because it is tolerant to the first-fault. Hence, this is an attractive option for hybrid electric aircraft (HEA), which combines gas engines with electric motors driven by power electronic converters. This letter proposes an accurate implementation for the procedure of first-fault detection with IT grounding. The ac component injection along with the sliding discrete Fourier transform (SDFT) is used to estimate the fault impedance. The procedure is very accurate due to the heavy filtering of the implicit moving average filter. Further computation savings are obtained by using the double look-up tables, and the Goertzel algorithm for the SDFT. Results are validated by simulations and experiments.

AB - Since dc distribution minimizes the number of power conversion stages, it lowers the overall cost, power losses, and weight of a power system. Critical systems use IT grounding because it is tolerant to the first-fault. Hence, this is an attractive option for hybrid electric aircraft (HEA), which combines gas engines with electric motors driven by power electronic converters. This letter proposes an accurate implementation for the procedure of first-fault detection with IT grounding. The ac component injection along with the sliding discrete Fourier transform (SDFT) is used to estimate the fault impedance. The procedure is very accurate due to the heavy filtering of the implicit moving average filter. Further computation savings are obtained by using the double look-up tables, and the Goertzel algorithm for the SDFT. Results are validated by simulations and experiments.

KW - Goertzel Algorithm

KW - grounding

KW - hybrid electric aircraft (HEA)

KW - IT systems

KW - moving average filter (MAF)

KW - permanent insulation monitor (PIM)

KW - sliding discrete fourier transform (SDFT)

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First-Fault Detection in DC Distribution with IT Grounding Based on Sliding Discrete Fourier-Transform

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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