Programmable intrusion detection for distributed energy resources in cyber–physical networked microgrids
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DOI: 10.1016/j.apenergy.2021.118056
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Cited by:
- Tabassum, Tambiara & Toker, Onur & Khalghani, Mohammad Reza, 2024. "Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network," Applied Energy, Elsevier, vol. 355(C).
- Zhang, Yichen & Chen, Chen & Hong, Tianqi & Cui, Bai & Xu, Zhe & Chen, Bo & Qiu, Feng, 2023. "Robust trajectory-constrained frequency control for microgrids considering model linearization error," Applied Energy, Elsevier, vol. 333(C).
- Zhao, Zhenghui & Shang, Yingying & Qi, Buyang & Wang, Yang & Sun, Yubo & Zhang, Qian, 2024. "Research on defense strategies for power system frequency stability under false data injection attacks," Applied Energy, Elsevier, vol. 371(C).
- Qin, Chao & Zhong, Chongyu & Sun, Bing & Jin, Xiaolong & Zeng, Yuan, 2023. "A tri-level optimal defense method against coordinated cyber-physical attacks considering full substation topology," Applied Energy, Elsevier, vol. 339(C).
- Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu & Liu, Junyao, 2023. "A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective," Applied Energy, Elsevier, vol. 331(C).
- Naderi, Mobin & Khayat, Yousef & Shafiee, Qobad & Blaabjerg, Frede & Bevrani, Hassan, 2023. "Dynamic modeling, stability analysis and control of interconnected microgrids: A review," Applied Energy, Elsevier, vol. 334(C).
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Keywords
Programmable intrusion detection; Attack; Proactive detection; Distributed energy resources (DERs); Power-electronics interface; Microgrids;All these keywords.
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