One-class classifier based fault detection in distribution systems with distributed energy resources

Zhidi Lin; Dongliang Duan; Qi Yang; Xiang Cheng; Liuqing Yang; Shuguang Cui

doi:10.1109/GlobalSIP.2018.8646526

One-class classifier based fault detection in distribution systems with distributed energy resources

Zhidi Lin, Dongliang Duan, Qi Yang, Xiang Cheng, Liuqing Yang, Shuguang Cui

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

4 Citations (Scopus)

Abstract

The integration of distributed energy resources (DERs) into distribution systems greatly increases the system complexity and introduces two-way power flows. Conventional protection schemes are based upon local measurements and simple linear system models, thus they cannot handle the new complexity and power flow patterns in systems with high DERs penetration. In this paper, we propose a data-driven protection framework to address the challenges induced by DERs. Considering the limited available data under fault conditions, we adopt the support vector data description (SVDD) method, a commonly used one-class classifier, for distribution system fault detection. The proposed method is tested under the IEEE 123-node test feeder and simulation results show that our proposed SVDD-based fault detection method significantly improves the robustness and resilience against DERs in comparison with conventional protection systems.

Original language	English
Title of host publication	2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	932-936
Number of pages	5
ISBN (Electronic)	9781728112954
DOIs	https://doi.org/10.1109/GlobalSIP.2018.8646526
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Anaheim, United States Duration: 26 Nov 2018 → 29 Nov 2018

Publication series

Name	2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings

Conference

Conference	2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
Country/Territory	United States
City	Anaheim
Period	26/11/18 → 29/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Distributed energy resources (DERs)
Distribution systems
Fault detection
Support vector data description (SVDD)

Access to Document

10.1109/GlobalSIP.2018.8646526

Cite this

Lin, Z., Duan, D., Yang, Q., Cheng, X., Yang, L., & Cui, S. (2018). One-class classifier based fault detection in distribution systems with distributed energy resources. In 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings (pp. 932-936). Article 8646526 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2018.8646526

Lin, Zhidi ; Duan, Dongliang ; Yang, Qi et al. / One-class classifier based fault detection in distribution systems with distributed energy resources. 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 932-936 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

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title = "One-class classifier based fault detection in distribution systems with distributed energy resources",

abstract = "The integration of distributed energy resources (DERs) into distribution systems greatly increases the system complexity and introduces two-way power flows. Conventional protection schemes are based upon local measurements and simple linear system models, thus they cannot handle the new complexity and power flow patterns in systems with high DERs penetration. In this paper, we propose a data-driven protection framework to address the challenges induced by DERs. Considering the limited available data under fault conditions, we adopt the support vector data description (SVDD) method, a commonly used one-class classifier, for distribution system fault detection. The proposed method is tested under the IEEE 123-node test feeder and simulation results show that our proposed SVDD-based fault detection method significantly improves the robustness and resilience against DERs in comparison with conventional protection systems.",

keywords = "Distributed energy resources (DERs), Distribution systems, Fault detection, Support vector data description (SVDD)",

author = "Zhidi Lin and Dongliang Duan and Qi Yang and Xiang Cheng and Liuqing Yang and Shuguang Cui",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 ; Conference date: 26-11-2018 Through 29-11-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/GlobalSIP.2018.8646526",

language = "English",

series = "2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings",

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Lin, Z, Duan, D, Yang, Q, Cheng, X, Yang, L & Cui, S 2018, One-class classifier based fault detection in distribution systems with distributed energy resources. in 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings., 8646526, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 932-936, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018, Anaheim, United States, 26/11/18. https://doi.org/10.1109/GlobalSIP.2018.8646526

One-class classifier based fault detection in distribution systems with distributed energy resources. / Lin, Zhidi; Duan, Dongliang; Yang, Qi et al.
2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 932-936 8646526 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - One-class classifier based fault detection in distribution systems with distributed energy resources

AU - Lin, Zhidi

AU - Duan, Dongliang

AU - Yang, Qi

AU - Cheng, Xiang

AU - Yang, Liuqing

AU - Cui, Shuguang

PY - 2018/7/2

Y1 - 2018/7/2

N2 - The integration of distributed energy resources (DERs) into distribution systems greatly increases the system complexity and introduces two-way power flows. Conventional protection schemes are based upon local measurements and simple linear system models, thus they cannot handle the new complexity and power flow patterns in systems with high DERs penetration. In this paper, we propose a data-driven protection framework to address the challenges induced by DERs. Considering the limited available data under fault conditions, we adopt the support vector data description (SVDD) method, a commonly used one-class classifier, for distribution system fault detection. The proposed method is tested under the IEEE 123-node test feeder and simulation results show that our proposed SVDD-based fault detection method significantly improves the robustness and resilience against DERs in comparison with conventional protection systems.

AB - The integration of distributed energy resources (DERs) into distribution systems greatly increases the system complexity and introduces two-way power flows. Conventional protection schemes are based upon local measurements and simple linear system models, thus they cannot handle the new complexity and power flow patterns in systems with high DERs penetration. In this paper, we propose a data-driven protection framework to address the challenges induced by DERs. Considering the limited available data under fault conditions, we adopt the support vector data description (SVDD) method, a commonly used one-class classifier, for distribution system fault detection. The proposed method is tested under the IEEE 123-node test feeder and simulation results show that our proposed SVDD-based fault detection method significantly improves the robustness and resilience against DERs in comparison with conventional protection systems.

KW - Distributed energy resources (DERs)

KW - Distribution systems

KW - Fault detection

KW - Support vector data description (SVDD)

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M3 - Conference Paper published in a book

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BT - 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings

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Lin Z, Duan D, Yang Q, Cheng X, Yang L, Cui S. One-class classifier based fault detection in distribution systems with distributed energy resources. In 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 932-936. 8646526. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). doi: 10.1109/GlobalSIP.2018.8646526

One-class classifier based fault detection in distribution systems with distributed energy resources

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