Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis

Julia Sawodny; Oliver Riedel; Toru Namerikawa

Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis

Julia Sawodny, Oliver Riedel, Toru Namerikawa

Department of System Design Engineering

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

1 Citation (Scopus)

Abstract

This paper discusses the detection of attacks on decentralized and intelligent power networks, so-called smart grids. The approach used here, estimates the states of the power network, which is modelled by its power flow, via an Extended Kalman Filter. The use of this filter allows the consideration of nonlinearities, thus enabling the modelling of the losses of the systems. The final detection of attacks on a generator in a power network is realized by a correlation analysis. The correlation analysis provides the result of the inner correlation of sequential signals. Based on this, an assessment can be made as to whether or not the network is affected by an attack.

Original language	English
Title of host publication	2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	663-669
Number of pages	7
ISBN (Electronic)	9781728110899
Publication status	Published - 2020 Sep 23
Event	59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020 - Chiang Mai, Thailand Duration: 2020 Sep 23 → 2020 Sep 26

Publication series

Name	2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020

Conference

Conference	59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
Country/Territory	Thailand
City	Chiang Mai
Period	20/9/23 → 20/9/26

Keywords

Attack
Correlation Analysis
Detection
Extended Kalman Filter
Smart Grid

ASJC Scopus subject areas

Control and Optimization
Instrumentation
Computer Vision and Pattern Recognition
Signal Processing
Decision Sciences (miscellaneous)
Industrial and Manufacturing Engineering

UN SDGs

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

Cite this

Sawodny, J., Riedel, O., & Namerikawa, T. (2020). Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis. In 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020 (pp. 663-669). (2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020). Institute of Electrical and Electronics Engineers Inc..

Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis. / Sawodny, Julia; Riedel, Oliver; Namerikawa, Toru.

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 663-669 (2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020).

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

Sawodny, J, Riedel, O & Namerikawa, T 2020, Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis. in 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020. 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 663-669, 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020, Chiang Mai, Thailand, 20/9/23.

Sawodny J, Riedel O, Namerikawa T. Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis. In 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 663-669. (2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020).

Sawodny, Julia ; Riedel, Oliver ; Namerikawa, Toru. / Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis. 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 663-669 (2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020).

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abstract = "This paper discusses the detection of attacks on decentralized and intelligent power networks, so-called smart grids. The approach used here, estimates the states of the power network, which is modelled by its power flow, via an Extended Kalman Filter. The use of this filter allows the consideration of nonlinearities, thus enabling the modelling of the losses of the systems. The final detection of attacks on a generator in a power network is realized by a correlation analysis. The correlation analysis provides the result of the inner correlation of sequential signals. Based on this, an assessment can be made as to whether or not the network is affected by an attack.",

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AB - This paper discusses the detection of attacks on decentralized and intelligent power networks, so-called smart grids. The approach used here, estimates the states of the power network, which is modelled by its power flow, via an Extended Kalman Filter. The use of this filter allows the consideration of nonlinearities, thus enabling the modelling of the losses of the systems. The final detection of attacks on a generator in a power network is realized by a correlation analysis. The correlation analysis provides the result of the inner correlation of sequential signals. Based on this, an assessment can be made as to whether or not the network is affected by an attack.

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Detection of Attacks in Smart Grids via Extended Kalman Filter and Correlation Analysis

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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