Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems

Ahmed Hossam-Eldin; Ahmed Lotfy; Mohammed Elgamal; Mohammed Ebeed

doi:10.1109/EEEIC.2016.7555591

Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems

Ahmed Hossam-Eldin
, Ahmed Lotfy
, Mohammed Elgamal
, Mohammed Ebeed

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

The voltage source converter (VSC) multi-terminal high voltage direct current (MTHVDC) is a suitable solution to connect offshore large renewable power stations. However, relevant fast and intelligent fault current location techniques are of utmost importance to improve power system stability and maintain continuity of supply. This paper proposes a hybrid travelling wave fuzzy logic based wavelet decomposition technique to identify the faulty line in a MTHVDC network, in addition to accurately determine the fault location. A fuzzy logic voter is applied to analyze non-stationary current travelling waves generated at fault location and captured by special DC current sensors to identify the faulted pole. Secondly, the captured wave of the identified pole is further decomposed by a discrete wavelet analyzer to accurately identify the fault location. A MATLAB toolbox is constructed to show the validity and adequacy of the proposed algorithm. This technique is important to MTHVDC dispatch centers especially those used with offshore wind farms.

Original language	English
Title of host publication	EEEIC 2016 - International Conference on Environment and Electrical Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509023196
DOIs	https://doi.org/10.1109/EEEIC.2016.7555591
State	Published - 29 Aug 2016
Externally published	Yes
Event	16th International Conference on Environment and Electrical Engineering, EEEIC 2016 - Florence, Italy Duration: 7 Jun 2016 → 10 Jun 2016

Publication series

Name	EEEIC 2016 - International Conference on Environment and Electrical Engineering

Conference

Conference	16th International Conference on Environment and Electrical Engineering, EEEIC 2016
Country/Territory	Italy
City	Florence
Period	7/06/16 → 10/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Artificial Intelligence
HVDC
fault location
fuzzy logic
protection
travelling wave
wavelet

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/EEEIC.2016.7555591

Cite this

Hossam-Eldin, A., Lotfy, A., Elgamal, M., & Ebeed, M. (2016). Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems. In EEEIC 2016 - International Conference on Environment and Electrical Engineering Article 7555591 (EEEIC 2016 - International Conference on Environment and Electrical Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC.2016.7555591

Hossam-Eldin, Ahmed ; Lotfy, Ahmed ; Elgamal, Mohammed et al. / Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems. EEEIC 2016 - International Conference on Environment and Electrical Engineering. Institute of Electrical and Electronics Engineers Inc., 2016. (EEEIC 2016 - International Conference on Environment and Electrical Engineering).

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title = "Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems",

abstract = "The voltage source converter (VSC) multi-terminal high voltage direct current (MTHVDC) is a suitable solution to connect offshore large renewable power stations. However, relevant fast and intelligent fault current location techniques are of utmost importance to improve power system stability and maintain continuity of supply. This paper proposes a hybrid travelling wave fuzzy logic based wavelet decomposition technique to identify the faulty line in a MTHVDC network, in addition to accurately determine the fault location. A fuzzy logic voter is applied to analyze non-stationary current travelling waves generated at fault location and captured by special DC current sensors to identify the faulted pole. Secondly, the captured wave of the identified pole is further decomposed by a discrete wavelet analyzer to accurately identify the fault location. A MATLAB toolbox is constructed to show the validity and adequacy of the proposed algorithm. This technique is important to MTHVDC dispatch centers especially those used with offshore wind farms.",

keywords = "Artificial Intelligence, HVDC, fault location, fuzzy logic, protection, travelling wave, wavelet",

author = "Ahmed Hossam-Eldin and Ahmed Lotfy and Mohammed Elgamal and Mohammed Ebeed",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 16th International Conference on Environment and Electrical Engineering, EEEIC 2016 ; Conference date: 07-06-2016 Through 10-06-2016",

year = "2016",

month = aug,

day = "29",

doi = "10.1109/EEEIC.2016.7555591",

language = "English",

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Hossam-Eldin, A, Lotfy, A, Elgamal, M & Ebeed, M 2016, Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems. in EEEIC 2016 - International Conference on Environment and Electrical Engineering., 7555591, EEEIC 2016 - International Conference on Environment and Electrical Engineering, Institute of Electrical and Electronics Engineers Inc., 16th International Conference on Environment and Electrical Engineering, EEEIC 2016, Florence, Italy, 7/06/16. https://doi.org/10.1109/EEEIC.2016.7555591

Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems. / Hossam-Eldin, Ahmed; Lotfy, Ahmed; Elgamal, Mohammed et al.
EEEIC 2016 - International Conference on Environment and Electrical Engineering. Institute of Electrical and Electronics Engineers Inc., 2016. 7555591 (EEEIC 2016 - International Conference on Environment and Electrical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems

AU - Hossam-Eldin, Ahmed

AU - Lotfy, Ahmed

AU - Elgamal, Mohammed

AU - Ebeed, Mohammed

PY - 2016/8/29

Y1 - 2016/8/29

N2 - The voltage source converter (VSC) multi-terminal high voltage direct current (MTHVDC) is a suitable solution to connect offshore large renewable power stations. However, relevant fast and intelligent fault current location techniques are of utmost importance to improve power system stability and maintain continuity of supply. This paper proposes a hybrid travelling wave fuzzy logic based wavelet decomposition technique to identify the faulty line in a MTHVDC network, in addition to accurately determine the fault location. A fuzzy logic voter is applied to analyze non-stationary current travelling waves generated at fault location and captured by special DC current sensors to identify the faulted pole. Secondly, the captured wave of the identified pole is further decomposed by a discrete wavelet analyzer to accurately identify the fault location. A MATLAB toolbox is constructed to show the validity and adequacy of the proposed algorithm. This technique is important to MTHVDC dispatch centers especially those used with offshore wind farms.

AB - The voltage source converter (VSC) multi-terminal high voltage direct current (MTHVDC) is a suitable solution to connect offshore large renewable power stations. However, relevant fast and intelligent fault current location techniques are of utmost importance to improve power system stability and maintain continuity of supply. This paper proposes a hybrid travelling wave fuzzy logic based wavelet decomposition technique to identify the faulty line in a MTHVDC network, in addition to accurately determine the fault location. A fuzzy logic voter is applied to analyze non-stationary current travelling waves generated at fault location and captured by special DC current sensors to identify the faulted pole. Secondly, the captured wave of the identified pole is further decomposed by a discrete wavelet analyzer to accurately identify the fault location. A MATLAB toolbox is constructed to show the validity and adequacy of the proposed algorithm. This technique is important to MTHVDC dispatch centers especially those used with offshore wind farms.

KW - Artificial Intelligence

KW - HVDC

KW - fault location

KW - fuzzy logic

KW - protection

KW - travelling wave

KW - wavelet

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M3 - Conference contribution

AN - SCOPUS:84988422389

T3 - EEEIC 2016 - International Conference on Environment and Electrical Engineering

BT - EEEIC 2016 - International Conference on Environment and Electrical Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th International Conference on Environment and Electrical Engineering, EEEIC 2016

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ER -

Hossam-Eldin A, Lotfy A, Elgamal M, Ebeed M. Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems. In EEEIC 2016 - International Conference on Environment and Electrical Engineering. Institute of Electrical and Electronics Engineers Inc. 2016. 7555591. (EEEIC 2016 - International Conference on Environment and Electrical Engineering). doi: 10.1109/EEEIC.2016.7555591

Combined traveling wave and fuzzy logic based fault location in multi-terminal HVDC systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this