Single-ended DC Fault Location Method For MMC-Based HVDC Power System Using Adaptive Multi-step Levenberg-Marquardt Algorithm

Conference Paper (2023)
Author(s)

L. Liu (TU Delft - Intelligent Electrical Power Grids)

F. Xie (TU Delft - Intelligent Electrical Power Grids, Xi’an Jiaotong University)

M. Popov (TU Delft - Intelligent Electrical Power Grids)

Zhiguo Hao (Xi’an Jiaotong University)

Aleksandra Lekic-Vervoort (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2023 L. Liu, F. Xie, M. Popov, Zhiguo Hao, A. Lekić
DOI related publication
https://doi.org/10.1109/PowerTech55446.2023.10202991
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 L. Liu, F. Xie, M. Popov, Zhiguo Hao, A. Lekić
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
1-6
ISBN (print)
978-1-6654-8779-5
ISBN (electronic)
978-1-6654-8778-8
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Abstract

This article presents an accurate DC fault location method that applies parameter fitting. This technique first discusses the traveling wave (TW) propagation process in the decoupled line-mode network. We obtain the exact fault distance equation based on the analytical expressions for the wavefront of backward line-mode voltage TW. The adaptive multi-step Levenberg- Marquardt's (AMLM) algorithm is used for parameter fitting due to its fast processing speed and accuracy. The exact fault location can then be estimated using the parameter fitting results. The proposed fault location method is validated using a three-terminal HVDC system modeled on a real-time digital simulator (RTDS) platform. Based on the experimental results, the proposed method accurately detects the fault location, with all estimated errors smaller than 1%, and can withstand 40 dB noise interference. Moreover, the proposed method does not need a high sampling frequency and communication device. Its accuracy is independent of fault resistance and type compared to existing methods.

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