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Resilient control based frequency regulation scheme of isolated microgrids considering cyber attack and parameter uncertainties

Author

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  • Mishra, Dillip Kumar
  • Ray, Prakash Kumar
  • Li, Li
  • Zhang, Jiangfeng
  • Hossain, M.J.
  • Mohanty, Asit

Abstract

Cyber-physical attacks and parameter uncertainties are becoming a compelling issue on load frequency control, directly affecting the resilience (i.e., reliability plus security) of the microgrid and multi-microgrid systems enabled by internet of things and the fifth generation communication system. A resilient system aims to endure and quickly restore a system’s transients during extreme events. Therefore, it is critically important to have a resilient system to evade the total system failure or blackout in order to make them attack-resilient. With this objective, this paper presents a resilience-based frequency regulation scheme in a microgrid under different operating conditions, such as, step and random change in load and different wind speed patterns. Furthermore, a cyber-attack model is considered in the problem formulation to make the system robust against external attacks. To protect against the cyber-attack and parameter uncertainties in the system, different control schemes are employed, and their robustness characteristics are compared through various performance indices. Besides, the proposed control schemes are validated through a real-time software synchronisation environment, i.e., OPAL-RT. As noted, the proposed type-2 fuzzy proportional-integral-derivative based controller provides the most significant improvement in the dynamic performance for frequency regulation compared to that of the others under the cyber-attack and uncertainties.

Suggested Citation

  • Mishra, Dillip Kumar & Ray, Prakash Kumar & Li, Li & Zhang, Jiangfeng & Hossain, M.J. & Mohanty, Asit, 2022. "Resilient control based frequency regulation scheme of isolated microgrids considering cyber attack and parameter uncertainties," Applied Energy, Elsevier, vol. 306(PA).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921013453
    DOI: 10.1016/j.apenergy.2021.118054
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    References listed on IDEAS

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    1. Shang-Guan, Xingchen & He, Yong & Zhang, Chuanke & Jiang, Lin & Spencer, Joseph William & Wu, Min, 2020. "Sampled-data based discrete and fast load frequency control for power systems with wind power," Applied Energy, Elsevier, vol. 259(C).
    2. Zhang, Hongtao & Li, Xianguo & Liu, Xinzhi & Yan, Jinyue, 2019. "Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management," Applied Energy, Elsevier, vol. 241(C), pages 483-490.
    3. Athira M. Mohan & Nader Meskin & Hasan Mehrjerdi, 2020. "A Comprehensive Review of the Cyber-Attacks and Cyber-Security on Load Frequency Control of Power Systems," Energies, MDPI, vol. 13(15), pages 1-33, July.
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    Cited by:

    1. Mishra, Dillip Kumar & Ghadi, Mojtaba Jabbari & Li, Li & Zhang, Jiangfeng & Hossain, M.J., 2022. "Active distribution system resilience quantification and enhancement through multi-microgrid and mobile energy storage," Applied Energy, Elsevier, vol. 311(C).
    2. 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).
    3. Wang, Xiaobo & Huang, Wentao & Li, Ran & Tai, Nengling & Zong, Ming, 2023. "Frequency-based demand side response considering the discontinuity of the ToU tariff," Applied Energy, Elsevier, vol. 348(C).
    4. Lin, Wen-Ting & Chen, Guo & Huang, Yuhan, 2022. "Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach," Applied Energy, Elsevier, vol. 314(C).
    5. 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).

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