Visible to the public Cyberattack to Cyber-Physical Model of Wind Farm SCADA

TitleCyberattack to Cyber-Physical Model of Wind Farm SCADA
Publication TypeConference Paper
Year of Publication2018
AuthorsZabetian-Hosseini, A., Mehrizi-Sani, A., Liu, C.
Conference NameIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
Keywordsanomaly detection, composability, CPS (cyber-physical system), cyber-physical system model, Cyber-physical systems, cyberattack, cyberattack to cyber-physical model, cyberlayer, cybersecurity, Human Behavior, IEEE 9-bus modified system, information and communication technology model, power system, power system control, Power system protection, power system security, Power systems, pubcrawl, Resiliency, SCADA (Supervisory control and data acquisition), SCADA systems, SCADA Systems Security, security of data, Servers, supervisory control and data acquisition systems, wind farm, wind farm SCADA system, Wind farms, Wind power generation, wind power penetration, wind power plants, wind turbines
Abstract

In recent years, there has been a significant increase in wind power penetration into the power system. As a result, the behavior of the power system has become more dependent on wind power behavior. Supervisory control and data acquisition (SCADA) systems responsible for monitoring and controlling wind farms often have vulnerabilities that make them susceptible to cyberattacks. These vulnerabilities allow attackers to exploit and intrude in the wind farm SCADA system. In this paper, a cyber-physical system (CPS) model for the information and communication technology (ICT) model of the wind farm SCADA system integrated with SCADA of the power system is proposed. Cybersecurity of this wind farm SCADA system is discussed. Proposed cyberattack scenarios on the system are modeled and the impact of these cyberattacks on the behavior of the power systems on the IEEE 9-bus modified system is investigated. Finally, an anomaly attack detection algorithm is proposed to stop the attack of tripping of all wind farms. Case studies validate the performance of the proposed CPS model of the test system and the attack detection algorithm.

URLhttps://ieeexplore.ieee.org/document/8591200
DOI10.1109/IECON.2018.8591200
Citation Keyzabetian-hosseini_cyberattack_2018