Modeling and Detection Scheme for Zero-Dynamics Attack on Wind Power System

• Published in: IEEE transactions on smart grid Vol. 15; no. 1; p. 1
• Main Authors: Wang, Zhe, Zhang, Heng, Cao, Xianghui, Liu, Endong, Li, Hongran, Zhang, Jian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Attack detection; Canonical forms; Discrete systems; Dynamics; Equations of state; Equivalent circuits; Generators; Mathematical models; Power generation; Power system dynamics; Predictive control; Regression models; Wind farms; Wind power; Wind power generation; Wind turbines; Zero-Dynamics attack
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2023.3279878

In a wind farm, wind power system is key to maintaining continuous generation of point energy. Since Zero-Dynamics attack poses a major risk to future wind farms, investigation on the effect of Zero-Dynamics attack against wind power systems has both theoretical and practical importance. In this paper, we consider a scenario in which a wind power system is subject to Zero-Dynamics attack in power generation chain. Firstly, we transform a semi-direct D-PMSG into an equivalent circuit to establish mathematical model of wind power system under Zero-Dynamics attack. Then, we analyze and prove the advantages and limitations of Zero-Dynamics attack by divide the equation of state into a stable part and an unstable part with the help of system relative degree ρ. In addition, to better achieve desired attack effect, adjustments are made for Zero-Dynamics attack based on its limitations. Finally, we combine an Multiple Linear Regression (MRL) predictive control model with Byrnes-Isidori normal form to protect wind power system. The theoretical results were verified on designed small wind power system.