Smart Cyber-Attack Diagnosis and Mitigation in a Wind Farm Network Operator

Abstract

With the rise of wind energy production in global power generation, wind farm facilities are becoming increasingly attractive targets for malicious attacks, in particular those affecting wind farm network operators' cyber subsystems and functionalities. Given the significance of this problem, this paper proposes a novel anomaly-based intrusion detection and diagnosis system to carry out in-line monitoring as with firewalls. Also, an innovative cyber-attack-resilient active power control is designed to responsively mitigate the impacts of cyber-attacks on the safe regulation of active power from wind farms. An offshore wind farm benchmark is used to implement and demonstrate the effectiveness of the proposed solutions in the presence of wind turbulences, measurement noises and realistic smart cyber-attack scenarios.