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

Le Liu; Fan Xie; Marjan Popov; Zhiguo Hao; Aleksandra Lekic

doi:10.1109/PowerTech55446.2023.10202991

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

Le Liu, Fan Xie, Marjan Popov, Zhiguo Hao, Aleksandra Lekic

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

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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.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE Belgrade PowerTech
Place of Publication	Piscataway
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-6654-8778-8
ISBN (Print)	978-1-6654-8779-5
DOIs	https://doi.org/10.1109/PowerTech55446.2023.10202991
Publication status	Published - 2023
Event	2023 IEEE Belgrade PowerTech - Belgrade, Serbia Duration: 25 Jun 2023 → 29 Jun 2023

Conference

Conference	2023 IEEE Belgrade PowerTech
Country/Territory	Serbia
City	Belgrade
Period	25/06/23 → 29/06/23

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.

Keywords

HVDC
VSC
backward traveling wave
DC fault location
parameter fitting
Levenberg-Marquardt
RTDS

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10.1109/PowerTech55446.2023.10202991

Single-Ended_DC_Fault_Location_Method_For_MMC-Based_HVDC_Power_System_Using_Adaptive_Multi-Step_Levenberg-Marquardt_AlgorithmFinal published version, 8.93 MB

Cite this

@inproceedings{ee398f7331f54d0c9c91842486d6b6b2,

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

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.",

keywords = "HVDC, VSC, backward traveling wave, DC fault location, parameter fitting, Levenberg-Marquardt, RTDS",

author = "Le Liu and Fan Xie and Marjan Popov and Zhiguo Hao and Aleksandra Lekic",

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.; 2023 IEEE Belgrade PowerTech ; Conference date: 25-06-2023 Through 29-06-2023",

year = "2023",

doi = "10.1109/PowerTech55446.2023.10202991",

language = "English",

isbn = "978-1-6654-8779-5",

pages = "1--6",

booktitle = "Proceedings of the 2023 IEEE Belgrade PowerTech",

publisher = "IEEE",

address = "United States",

}

Single-ended DC Fault Location Method For MMC-Based HVDC Power System Using Adaptive Multi-step Levenberg-Marquardt Algorithm. / Liu, Le ; Xie, Fan ; Popov, Marjan et al.
Proceedings of the 2023 IEEE Belgrade PowerTech. Piscataway: IEEE, 2023. p. 1-6.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Liu, Le

AU - Xie, Fan

AU - Popov, Marjan

AU - Hao, Zhiguo

AU - Lekic, Aleksandra

N1 - 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.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - HVDC

KW - VSC

KW - backward traveling wave

KW - DC fault location

KW - parameter fitting

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EP - 6

BT - Proceedings of the 2023 IEEE Belgrade PowerTech

PB - IEEE

CY - Piscataway

T2 - 2023 IEEE Belgrade PowerTech

Y2 - 25 June 2023 through 29 June 2023

ER -

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

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Keywords

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