Decentralized fault detection of multiple cyber attacks in power network via Kalman filter

Takashi Irita; Toru Namerikawa

doi:10.1109/ECC.2015.7331023

Decentralized fault detection of multiple cyber attacks in power network via Kalman filter

Takashi Irita, Toru Namerikawa

Department of System Design Engineering

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

10 Citations (Scopus)

Abstract

This paper discusses faults diagnosis method of multiple cyber attacks in networked electrical power systems. We deal with a power network of a centralized system, and then, some parameters are estimated by Kalman filter. Using a sensor network system, each of sensor nodes can exchange information by wireless communication. A fault diagnosis method is proposed by using both fault detection diagnosis matrix and fault distinction matrix. The former is composed of estimated values and observed values. On the other hand, the latter is composed of observed values and calculated values via the senor network. Finally, the effectiveness of the proposed approach is validated by a simulation experiment.

Original language	English
Title of host publication	2015 European Control Conference, ECC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3180-3185
Number of pages	6
ISBN (Print)	9783952426937
DOIs	https://doi.org/10.1109/ECC.2015.7331023
Publication status	Published - 2015 Nov 16
Event	European Control Conference, ECC 2015 - Linz, Austria Duration: 2015 Jul 15 → 2015 Jul 17

Other

Other	European Control Conference, ECC 2015
Country/Territory	Austria
City	Linz
Period	15/7/15 → 15/7/17

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1109/ECC.2015.7331023

Cite this

@inproceedings{8582fde5f4464daab070f7e303c59f3e,

title = "Decentralized fault detection of multiple cyber attacks in power network via Kalman filter",

abstract = "This paper discusses faults diagnosis method of multiple cyber attacks in networked electrical power systems. We deal with a power network of a centralized system, and then, some parameters are estimated by Kalman filter. Using a sensor network system, each of sensor nodes can exchange information by wireless communication. A fault diagnosis method is proposed by using both fault detection diagnosis matrix and fault distinction matrix. The former is composed of estimated values and observed values. On the other hand, the latter is composed of observed values and calculated values via the senor network. Finally, the effectiveness of the proposed approach is validated by a simulation experiment.",

author = "Takashi Irita and Toru Namerikawa",

year = "2015",

month = nov,

day = "16",

doi = "10.1109/ECC.2015.7331023",

language = "English",

isbn = "9783952426937",

pages = "3180--3185",

booktitle = "2015 European Control Conference, ECC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "European Control Conference, ECC 2015 ; Conference date: 15-07-2015 Through 17-07-2015",

}

TY - GEN

T1 - Decentralized fault detection of multiple cyber attacks in power network via Kalman filter

AU - Irita, Takashi

AU - Namerikawa, Toru

PY - 2015/11/16

Y1 - 2015/11/16

N2 - This paper discusses faults diagnosis method of multiple cyber attacks in networked electrical power systems. We deal with a power network of a centralized system, and then, some parameters are estimated by Kalman filter. Using a sensor network system, each of sensor nodes can exchange information by wireless communication. A fault diagnosis method is proposed by using both fault detection diagnosis matrix and fault distinction matrix. The former is composed of estimated values and observed values. On the other hand, the latter is composed of observed values and calculated values via the senor network. Finally, the effectiveness of the proposed approach is validated by a simulation experiment.

AB - This paper discusses faults diagnosis method of multiple cyber attacks in networked electrical power systems. We deal with a power network of a centralized system, and then, some parameters are estimated by Kalman filter. Using a sensor network system, each of sensor nodes can exchange information by wireless communication. A fault diagnosis method is proposed by using both fault detection diagnosis matrix and fault distinction matrix. The former is composed of estimated values and observed values. On the other hand, the latter is composed of observed values and calculated values via the senor network. Finally, the effectiveness of the proposed approach is validated by a simulation experiment.

UR - http://www.scopus.com/inward/record.url?scp=84963804427&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963804427&partnerID=8YFLogxK

U2 - 10.1109/ECC.2015.7331023

DO - 10.1109/ECC.2015.7331023

M3 - Conference contribution

AN - SCOPUS:84963804427

SN - 9783952426937

SP - 3180

EP - 3185

BT - 2015 European Control Conference, ECC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - European Control Conference, ECC 2015

Y2 - 15 July 2015 through 17 July 2015

ER -

Decentralized fault detection of multiple cyber attacks in power network via Kalman filter

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this