A False Data Injection Attack Detection Strategy for Unbalanced Distribution Networks State Estimation

Author:

Wei Shuheng1ORCID,Xu Junjun2ORCID,Wu Zaijun1ORCID,Hu Qinran1ORCID,Yu Xinghuo3ORCID

Affiliation:

1. School of Electrical Engineering, Southeast University, Nanjing, China

2. College of Automation and the College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China

3. School of Engineering, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Protection of Power System State Estimation against False Data Injection Attacks;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

2. Smart Grid Outlier Detection Based on the Minorization–Maximization Algorithm;Sensors;2023-09-24

3. SGWeS: A Framework to Safeguard Web Servers from PDF Malware Attacks;2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2023-04-21

4. Multiarea Probabilistic Forecasting-Aided Interval State Estimation for FDIA Identification in Power Distribution Networks;IEEE Transactions on Industrial Informatics;2023

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