TY - GEN
T1 - Enhancing security for voltage control of distribution systems under data falsification attacks
AU - Onogawa, Mizuki
AU - Yoshizawa, Shinya
AU - Fujimoto, Yu
AU - Ishii, Hideaki
AU - Ono, Isao
AU - Onoda, Takashi
AU - Hayashi, Yasuhiro
N1 - Funding Information:
1Department of Computer Science, Tokyo Institute of Technology, Japan. E-mails: onogawa@sc.dis.titech.ac.jp, ishii@c.titech.ac.jp, isao@c.titech.ac.jp 2Department of Electrical Engineering and Bioscience, Waseda University, Japan. E-mails: s.yoshizawa@aoni.waseda.jp, hayashi@waseda.jp 3Advanced Collaborative Research Organization for Smart Society, Waseda University, Japan. E-mail: y.fujimoto@aoni.waseda.jp 4Department of Industrial and Systems Engineering, Aoyama Gakuin University, Japan. E-mail: onoda@ise.aoyama.ac.jp This work was supported in part by the JST CREST Grants No. JP-MJCR15K3 and JPMJCR15K5.
Publisher Copyright:
© 2019 American Automatic Control Council.
PY - 2019/7
Y1 - 2019/7
N2 - We consider enhancing cyber security in voltage regulation of distribution systems in the presence of malicious attacks. Due to the increase in distributed generation, the regulation of voltage has become more complicated, requiring more sensor data to be used for control. Recently, we have developed an attack detection algorithm to find data falsification attacks on voltage measurements transmitted by sectionizing switches in the feeders to a centralized controller. In this paper, the security level of the system is further improved by introducing a controller that is capable of operating the regulation in the presence of attacks by utilizing the detection results. In particular, it identifies abnormal behavior in the sensor data and ignores measurements taking extreme values among those received. Through detailed simulation studies on a small scale distribution system, we show the effectiveness of the proposed control and analyze the relation between the number of attacks and the detectability of the attacks.
AB - We consider enhancing cyber security in voltage regulation of distribution systems in the presence of malicious attacks. Due to the increase in distributed generation, the regulation of voltage has become more complicated, requiring more sensor data to be used for control. Recently, we have developed an attack detection algorithm to find data falsification attacks on voltage measurements transmitted by sectionizing switches in the feeders to a centralized controller. In this paper, the security level of the system is further improved by introducing a controller that is capable of operating the regulation in the presence of attacks by utilizing the detection results. In particular, it identifies abnormal behavior in the sensor data and ignores measurements taking extreme values among those received. Through detailed simulation studies on a small scale distribution system, we show the effectiveness of the proposed control and analyze the relation between the number of attacks and the detectability of the attacks.
UR - http://www.scopus.com/inward/record.url?scp=85072274106&partnerID=8YFLogxK
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U2 - 10.23919/acc.2019.8814907
DO - 10.23919/acc.2019.8814907
M3 - Conference contribution
AN - SCOPUS:85072274106
T3 - Proceedings of the American Control Conference
SP - 3249
EP - 3254
BT - 2019 American Control Conference, ACC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 American Control Conference, ACC 2019
Y2 - 10 July 2019 through 12 July 2019
ER -