TY - CHAP
T1 - Data-Driven Cyber-Resilient Control of Wide Area Power Systems
AU - Asadi, Yasin
AU - Farsangi, Malihe Maghfoori
AU - Amani, Ali Moradi
AU - Alhelou, Hassan Haes
AU - Dibaji, Seyed Mehran
AU - Bijami, Ehsan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - With the uptake of advanced communication technologies, monitoring and operation of power systems have been experiencing a paradigm shift. Many centralized algorithms can now be implemented in a distributed scheme. For example, local decisions can make faster actions resulting in a resilient power grid. Despite these advantages, these communication networks have made power networks vulnerable to cyber-attacks. Therefore, only attack-resilient algorithms can be reliably implemented using these technologies. In this chapter, a Data-Driven Cyber-Resilient Control (DDCRC) method is proposed for the frequency stability of wide area power grids. In the proposed method, the automatic generation control signals are generated without using a predefined model such that the frequency stability of the power system in the presence of Deception Attacks (DA) is guaranteed. Simulation results on a three-area power grid show the efficiency and superiority of the proposed method.
AB - With the uptake of advanced communication technologies, monitoring and operation of power systems have been experiencing a paradigm shift. Many centralized algorithms can now be implemented in a distributed scheme. For example, local decisions can make faster actions resulting in a resilient power grid. Despite these advantages, these communication networks have made power networks vulnerable to cyber-attacks. Therefore, only attack-resilient algorithms can be reliably implemented using these technologies. In this chapter, a Data-Driven Cyber-Resilient Control (DDCRC) method is proposed for the frequency stability of wide area power grids. In the proposed method, the automatic generation control signals are generated without using a predefined model such that the frequency stability of the power system in the presence of Deception Attacks (DA) is guaranteed. Simulation results on a three-area power grid show the efficiency and superiority of the proposed method.
KW - Automatic generation control
KW - Data driven control
KW - Deception attack
UR - https://www.scopus.com/pages/publications/85153102554
U2 - 10.1007/978-3-031-20360-2_7
DO - 10.1007/978-3-031-20360-2_7
M3 - Chapter (Book)
AN - SCOPUS:85153102554
SN - 9783031203596
T3 - Power Systems
SP - 161
EP - 178
BT - Power Systems Cybersecurity
A2 - Haes Alhelou, Hassan
A2 - Hatziargyriou, Nikos
A2 - Yang Dong, Zhao
PB - Springer
CY - Cham Switzerland
ER -