TY - GEN
T1 - Resilient Distributed Frequency Estimation for PEVs Coordinating in Load Frequency Regulation under Cyber Attacks
AU - Hu, Zhijian
AU - Liu, Jianxing
AU - Gao, Song
AU - Liu, Fagang
AU - Wu, Ligang
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/20
Y1 - 2021/6/20
N2 - In view of the fast charging and discharging characteristics of the plug-in electric vehicles (PEVs), this paper coordinates PEVs in conventional load frequency control (LFC). To avoid the installation of measurement devices for each PEV, a resilient distributed frequency estimation strategy is presented for PEVs with the frequency measurements taken only at distribution substations. Since the communication links among PEVs are vulnerable to cyber attacks, this strategy integrates a credibility-based intrusion detection unit to distinguish compromised PEVs. Then, a maximal power acquisition algorithm is designed for well-being PEVs, to obtain sufficient power capacity for the frequency regulation. In simulations, we validate the effectiveness of the credibility-based distributed frequency estimation scheme for PEVs under strongly connected interaction topology. Also, we verify the rapidity of LFC with the coordination of well-being PEVs compared with its conventional counterpart.
AB - In view of the fast charging and discharging characteristics of the plug-in electric vehicles (PEVs), this paper coordinates PEVs in conventional load frequency control (LFC). To avoid the installation of measurement devices for each PEV, a resilient distributed frequency estimation strategy is presented for PEVs with the frequency measurements taken only at distribution substations. Since the communication links among PEVs are vulnerable to cyber attacks, this strategy integrates a credibility-based intrusion detection unit to distinguish compromised PEVs. Then, a maximal power acquisition algorithm is designed for well-being PEVs, to obtain sufficient power capacity for the frequency regulation. In simulations, we validate the effectiveness of the credibility-based distributed frequency estimation scheme for PEVs under strongly connected interaction topology. Also, we verify the rapidity of LFC with the coordination of well-being PEVs compared with its conventional counterpart.
KW - Plug-in electric vehicles
KW - cyber attacks
KW - load frequency control
KW - resilient distributed frequency estimation
UR - https://www.scopus.com/pages/publications/85118781666
U2 - 10.1109/ISIE45552.2021.9576230
DO - 10.1109/ISIE45552.2021.9576230
M3 - 会议稿件
AN - SCOPUS:85118781666
T3 - IEEE International Symposium on Industrial Electronics
BT - Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Symposium on Industrial Electronics, ISIE 2021
Y2 - 20 June 2021 through 23 June 2021
ER -