Detection of cyber attack in smart grid: A Comparative Study

Junjie Xiao; Lu Wang; Zian Qin; Pavol Bauer

doi:10.1109/PEMC51159.2022.9962902

Detection of cyber attack in smart grid: A Comparative Study

Junjie Xiao, Lu Wang, Zian Qin, Pavol Bauer

DC systems, Energy conversion & Storage

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

Abstract

Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation methods at the present stage are restricted in practical use and require some assumptions. In this paper, we investigate the security of smart grid systems. We (1) identify and define the security problem in the smart grid, (2) compare the performance of several state estimate methods including Least Square, Kalman filter, Extend Kalman filter, in identifying smart grid dynamic information using measurements, and (3) investigate the Chi-square detector, Euclidean Distance, and Cosine similarity matching approaches for attack detection.

Original language	English
Title of host publication	2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	48-54
Number of pages	7
ISBN (Electronic)	9781665496810
DOIs	https://doi.org/10.1109/PEMC51159.2022.9962902
Publication status	Published - 2022
Event	20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022 - Brasov, Romania Duration: 25 Sep 2022 → 28 Sep 2022

Publication series

Name	2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022

Conference

Conference	20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022
Country/Territory	Romania
City	Brasov
Period	25/09/22 → 28/09/22

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

Cyber attack detection
Kalman filter
smart grid
State estimate

UN SDGs

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

Access to Document

10.1109/PEMC51159.2022.9962902

Cite this

Xiao, J., Wang, L., Qin, Z., & Bauer, P. (2022). Detection of cyber attack in smart grid: A Comparative Study. In 2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022 (pp. 48-54). (2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PEMC51159.2022.9962902

Xiao, Junjie ; Wang, Lu ; Qin, Zian ; Bauer, Pavol. / Detection of cyber attack in smart grid : A Comparative Study. 2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022. Institute of Electrical and Electronics Engineers (IEEE), 2022. pp. 48-54 (2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022).

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abstract = "Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation methods at the present stage are restricted in practical use and require some assumptions. In this paper, we investigate the security of smart grid systems. We (1) identify and define the security problem in the smart grid, (2) compare the performance of several state estimate methods including Least Square, Kalman filter, Extend Kalman filter, in identifying smart grid dynamic information using measurements, and (3) investigate the Chi-square detector, Euclidean Distance, and Cosine similarity matching approaches for attack detection.",

keywords = "Cyber attack detection, Kalman filter, smart grid, State estimate",

author = "Junjie Xiao and Lu Wang and Zian Qin and Pavol Bauer",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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. ; 20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022 ; Conference date: 25-09-2022 Through 28-09-2022",

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language = "English",

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Xiao, J, Wang, L , Qin, Z & Bauer, P 2022, Detection of cyber attack in smart grid: A Comparative Study. in 2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022. 2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022, Institute of Electrical and Electronics Engineers (IEEE), pp. 48-54, 20th IEEE International Power Electronics and Motion Control Conference, PEMC 2022, Brasov, Romania, 25/09/22. https://doi.org/10.1109/PEMC51159.2022.9962902

Detection of cyber attack in smart grid : A Comparative Study. / Xiao, Junjie; Wang, Lu ; Qin, Zian ; Bauer, Pavol.

2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022. Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 48-54 (2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022).

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

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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 - 2022

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N2 - Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation methods at the present stage are restricted in practical use and require some assumptions. In this paper, we investigate the security of smart grid systems. We (1) identify and define the security problem in the smart grid, (2) compare the performance of several state estimate methods including Least Square, Kalman filter, Extend Kalman filter, in identifying smart grid dynamic information using measurements, and (3) investigate the Chi-square detector, Euclidean Distance, and Cosine similarity matching approaches for attack detection.

AB - Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation methods at the present stage are restricted in practical use and require some assumptions. In this paper, we investigate the security of smart grid systems. We (1) identify and define the security problem in the smart grid, (2) compare the performance of several state estimate methods including Least Square, Kalman filter, Extend Kalman filter, in identifying smart grid dynamic information using measurements, and (3) investigate the Chi-square detector, Euclidean Distance, and Cosine similarity matching approaches for attack detection.

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ER -

Xiao J, Wang L , Qin Z , Bauer P. Detection of cyber attack in smart grid: A Comparative Study. In 2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022. Institute of Electrical and Electronics Engineers (IEEE). 2022. p. 48-54. (2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022). https://doi.org/10.1109/PEMC51159.2022.9962902

Detection of cyber attack in smart grid: A Comparative Study

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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