A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids

Deepika Chhetija; Zakir H. Rather; Suryanarayana Doolla

doi:10.1109/IAS54023.2022.9940120

A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids

Deepika Chhetija
, Zakir H. Rather
, Suryanarayana Doolla

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

1 Scopus citations

Abstract

The fault detection and classification (FDAC) of the islanded industrial microgrids is challenging due to the low short circuit current from inverter based sources and the bidirectional nature of current. This article proposes a FDAC scheme, which utilizes the local voltage at the relays, placed at both sides of the line section. The relays can be programmed to adapt to the proposed scheme, and hence there is no need for additional communication. The transient monitoring function (TMF) of the voltage signal (Tv) is calculated, which gives the information of the fault transients. Compared to its pre-fault value, the faulty phase Tv significantly reduces during a fault. Therefore, the Tv of any phase less than a pre-defined threshold (Tth) confirms the occurrence of a faulty event and respective faulty phases. The nature of the Tv is studied with extensive simulations to decide the suitable Tth• The proposed scheme is validated on the modified CIGRE test microgrid for all eleven types of shunt faults. Several test cases are simulated in MATLAB Simulink at various locations with different inception angles, loading conditions, and fault resistances. The obtained results are found to be satisfactory for FDAC, with local information available at relaying points.

Original language	English
Title of host publication	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665478151
DOIs	https://doi.org/10.1109/IAS54023.2022.9940120
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 - Detroit, United States Duration: Oct 9 2022 → Oct 14 2022

Publication series

Name	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume	2022-October
ISSN (Print)	0197-2618

Conference

Conference	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Country/Territory	United States
City	Detroit
Period	10/9/22 → 10/14/22

Funding

*This work is sponsored by the project "Sustainable Energy system for Achieving Novel Carbon neutral Energy communities (SUSTENANCE), H2020 India-European Union collaborative project funded by the Department of Science and Technology India".

Keywords

Fault detection
fault classification
inverter interfaced distributed generation
microgrid
transient monitoring function

Access to Document

10.1109/IAS54023.2022.9940120

Cite this

Chhetija, D., Rather, Z. H., & Doolla, S. (2022). A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids. In 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society); Vol. 2022-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS54023.2022.9940120

@inproceedings{678890cb8749429c953c7babb1ed1921,

title = "A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids",

abstract = "The fault detection and classification (FDAC) of the islanded industrial microgrids is challenging due to the low short circuit current from inverter based sources and the bidirectional nature of current. This article proposes a FDAC scheme, which utilizes the local voltage at the relays, placed at both sides of the line section. The relays can be programmed to adapt to the proposed scheme, and hence there is no need for additional communication. The transient monitoring function (TMF) of the voltage signal (Tv) is calculated, which gives the information of the fault transients. Compared to its pre-fault value, the faulty phase Tv significantly reduces during a fault. Therefore, the Tv of any phase less than a pre-defined threshold (Tth) confirms the occurrence of a faulty event and respective faulty phases. The nature of the Tv is studied with extensive simulations to decide the suitable Tth• The proposed scheme is validated on the modified CIGRE test microgrid for all eleven types of shunt faults. Several test cases are simulated in MATLAB Simulink at various locations with different inception angles, loading conditions, and fault resistances. The obtained results are found to be satisfactory for FDAC, with local information available at relaying points.",

keywords = "Fault detection, fault classification, inverter interfaced distributed generation, microgrid, transient monitoring function",

author = "Deepika Chhetija and Rather, \{Zakir H.\} and Suryanarayana Doolla",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 ; Conference date: 09-10-2022 Through 14-10-2022",

year = "2022",

doi = "10.1109/IAS54023.2022.9940120",

language = "English",

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Chhetija, D, Rather, ZH & Doolla, S 2022, A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids. in 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), vol. 2022-October, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022, Detroit, United States, 10/9/22. https://doi.org/10.1109/IAS54023.2022.9940120

A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids. / Chhetija, Deepika; Rather, Zakir H.; Doolla, Suryanarayana.
2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society); Vol. 2022-October).

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

TY - GEN

T1 - A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids

AU - Chhetija, Deepika

AU - Rather, Zakir H.

AU - Doolla, Suryanarayana

PY - 2022

Y1 - 2022

N2 - The fault detection and classification (FDAC) of the islanded industrial microgrids is challenging due to the low short circuit current from inverter based sources and the bidirectional nature of current. This article proposes a FDAC scheme, which utilizes the local voltage at the relays, placed at both sides of the line section. The relays can be programmed to adapt to the proposed scheme, and hence there is no need for additional communication. The transient monitoring function (TMF) of the voltage signal (Tv) is calculated, which gives the information of the fault transients. Compared to its pre-fault value, the faulty phase Tv significantly reduces during a fault. Therefore, the Tv of any phase less than a pre-defined threshold (Tth) confirms the occurrence of a faulty event and respective faulty phases. The nature of the Tv is studied with extensive simulations to decide the suitable Tth• The proposed scheme is validated on the modified CIGRE test microgrid for all eleven types of shunt faults. Several test cases are simulated in MATLAB Simulink at various locations with different inception angles, loading conditions, and fault resistances. The obtained results are found to be satisfactory for FDAC, with local information available at relaying points.

AB - The fault detection and classification (FDAC) of the islanded industrial microgrids is challenging due to the low short circuit current from inverter based sources and the bidirectional nature of current. This article proposes a FDAC scheme, which utilizes the local voltage at the relays, placed at both sides of the line section. The relays can be programmed to adapt to the proposed scheme, and hence there is no need for additional communication. The transient monitoring function (TMF) of the voltage signal (Tv) is calculated, which gives the information of the fault transients. Compared to its pre-fault value, the faulty phase Tv significantly reduces during a fault. Therefore, the Tv of any phase less than a pre-defined threshold (Tth) confirms the occurrence of a faulty event and respective faulty phases. The nature of the Tv is studied with extensive simulations to decide the suitable Tth• The proposed scheme is validated on the modified CIGRE test microgrid for all eleven types of shunt faults. Several test cases are simulated in MATLAB Simulink at various locations with different inception angles, loading conditions, and fault resistances. The obtained results are found to be satisfactory for FDAC, with local information available at relaying points.

KW - Fault detection

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KW - microgrid

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BT - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

Y2 - 9 October 2022 through 14 October 2022

ER -

A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids

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