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A dynamics-constrained method for distributed frequency regulation in low-inertia power systems

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  • Li, Zhihao
  • Yang, Lun
  • Xu, Yinliang

Abstract

An increasing number of power electronics-interfaced renewable energy sources are integrated into the power grids. Such power systems suffer from poor frequency dynamic behaviors due to the decreasing rotational inertia and governor damping, thus are vulnerable to disturbances. A widely investigated approach to improve the frequency dynamics of the system is to imitate the synchronous generator responses by power converter control. In this paper, a dynamics-constrained frequency control method is proposed to bridge the gap between frequency dynamics optimization and secondary frequency control in low-inertia power systems. An intraday optimization model is formulated for the optimal tuning of the converter control parameters with guaranteed frequency security, and a distributed model predictive controller is developed for recovering the frequency economically. Case studies demonstrate the practicability of the proposed dynamic constrained frequency regulation approach and further comparison illustrates the computational efficiency and scalability of the proposed distributed algorithm.

Suggested Citation

  • Li, Zhihao & Yang, Lun & Xu, Yinliang, 2023. "A dynamics-constrained method for distributed frequency regulation in low-inertia power systems," Applied Energy, Elsevier, vol. 344(C).
    • Handle: RePEc:eee:appene:v:344:y:2023:i:c:s0306261923006207
    DOI: 10.1016/j.apenergy.2023.121256
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    References listed on IDEAS

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    1. Cheng, Yi & Azizipanah-Abarghooee, Rasoul & Azizi, Sadegh & Ding, Lei & Terzija, Vladimir, 2020. "Smart frequency control in low inertia energy systems based on frequency response techniques: A review," Applied Energy, Elsevier, vol. 279(C).
    2. Wu, Jinhui & Yang, Fuwen, 2023. "A dual-driven predictive control for photovoltaic-diesel microgrid secondary frequency regulation," Applied Energy, Elsevier, vol. 334(C).
    3. Xu, You-Lin & Peng, Yi-Xin & Zhan, Sheng, 2019. "Optimal blade pitch function and control device for high-solidity straight-bladed vertical axis wind turbines," Applied Energy, Elsevier, vol. 242(C), pages 1613-1625.
    4. Wang, Yu & Xu, Yan & Tang, Yi, 2019. "Distributed aggregation control of grid-interactive smart buildings for power system frequency support," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Johnson, Samuel C. & Rhodes, Joshua D. & Webber, Michael E., 2020. "Understanding the impact of non-synchronous wind and solar generation on grid stability and identifying mitigation pathways," Applied Energy, Elsevier, vol. 262(C).
    6. Mejia-Ruiz, Gabriel E. & Paternina, Mario R. Arrieta & Segundo Sevilla, Felix Rafael & Korba, Petr, 2022. "Fast hierarchical coordinated controller for distributed battery energy storage systems to mitigate voltage and frequency deviations," Applied Energy, Elsevier, vol. 323(C).
    7. Li, Jiawen & Yu, Tao & Zhang, Xiaoshun, 2022. "Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning," Applied Energy, Elsevier, vol. 306(PA).
    8. Hui, Hongxun & Chen, Yulin & Yang, Shaohua & Zhang, Hongcai & Jiang, Tao, 2022. "Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids," Applied Energy, Elsevier, vol. 327(C).
    9. Homan, Samuel & Mac Dowell, Niall & Brown, Solomon, 2021. "Grid frequency volatility in future low inertia scenarios: Challenges and mitigation options," Applied Energy, Elsevier, vol. 290(C).
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