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

Author:

Wang Zhe1ORCID,Zhang Heng2ORCID,Cao Xianghui3ORCID,Liu Endong4ORCID,Li Hongran2,Zhang Jian2

Affiliation:

1. School of Computer Engineering and the School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang, China

2. School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China

3. School of Automation, Southeast University, Nanjing, China

4. School of Electrical and Mechanical Engineering, Heze University, Heze, China

Funder

National Natural Science Foundation of China

Nature Science Foundation of Jiangsu Province for Distinguished Young Scholars

Jiangsu Ocean University Postgraduate Research and Practice Innovation Program Project

Doctor Foundation of Heze University

Special Fund for Science and Technology Plan of Jiangsu Province

2022 Jiangsu Academy of Agricultural Science and Technology Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

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4. Wind Power Prediction Based on Nonlinear AutoRegressive with eXogenous Inputs Algorithm;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

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