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An innovative coordinated control strategy for frequency regulation in power systems with high renewable penetration

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  • Zhang, Tengxi
  • Shi, Ruifeng
  • Jia, Limin
  • Lee, Kwang Y.

Abstract

As the share of solar and wind energy in power systems increases, the decline of traditional frequency regulation resources results in frequency instability in low-inertia systems. Traditional approaches relying on synchronous generators (SGs) face challenges in providing adequate frequency response, necessitating advanced control technologies for asynchronous units to stabilize frequency. This paper aims to improve system frequency dynamics and proposes an enhanced Dynamic Scheduling Control Strategy (DSCS) integrated with a Deep Reinforcement Learning (DRL) framework to optimize the coordination of frequency responses between SGs and power electronics-interfaced asynchronous resources in hybrid power systems (HyPS). Firstly, a scalable system frequency model of the HyPS with high renewable energy source (RES) penetration is developed, accounting for the frequency support provided by RESs under varying operational conditions. Secondly, the DRL framework is integrated and leverages the frequency dynamics analysis of the Generic System Frequency Response (G-SFR) model to establish the reward mechanism. Lastly, a 36-bus system is employed to evaluate frequency dynamics under various disturbances and renewable penetrations, showing that while the fundamental DSCS scheme maintains the frequency nadir above 49.5 Hz, the proposed method achieves a 3.73 % reduction in RMS frequency deviation through adaptive optimization in simulated daily operation. The proposed method significantly enhances frequency stability in low-inertia systems with high renewable penetration without modifying the reserve capacities of the controlled units, and its further potential is discussed in scenarios involving additional reserve allocation by renewable units.

Suggested Citation

  • Zhang, Tengxi & Shi, Ruifeng & Jia, Limin & Lee, Kwang Y., 2025. "An innovative coordinated control strategy for frequency regulation in power systems with high renewable penetration," Applied Energy, Elsevier, vol. 401(PB).
  • Handle: RePEc:eee:appene:v:401:y:2025:i:pb:s0306261925014308
    DOI: 10.1016/j.apenergy.2025.126700
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    References listed on IDEAS

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    1. 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).
    2. Wang, Xiaodi & Liu, Youbo & Zhao, Junbo & Liu, Chang & Liu, Junyong & Yan, Jinyue, 2021. "Surrogate model enabled deep reinforcement learning for hybrid energy community operation," Applied Energy, Elsevier, vol. 289(C).
    3. Zhang, S. & Mishra, Y. & Shahidehpour, M., 2017. "Utilizing distributed energy resources to support frequency regulation services," Applied Energy, Elsevier, vol. 206(C), pages 1484-1494.
    4. Rajan, Rijo & Fernandez, Francis M. & Yang, Yongheng, 2021. "Primary frequency control techniques for large-scale PV-integrated power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    5. 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).
    6. Lola Nacke & Vadim Vinichenko & Aleh Cherp & Avi Jakhmola & Jessica Jewell, 2024. "Compensating affected parties necessary for rapid coal phase-out but expensive if extended to major emitters," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    7. Oshnoei, Arman & Kheradmandi, Morteza & Blaabjerg, Frede & Hatziargyriou, Nikos D. & Muyeen, S.M. & Anvari-Moghaddam, Amjad, 2022. "Coordinated control scheme for provision of frequency regulation service by virtual power plants," Applied Energy, Elsevier, vol. 325(C).
    8. Shair, Jan & Li, Haozhi & Hu, Jiabing & Xie, Xiaorong, 2021. "Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    9. Natascia Andrenacci & Elio Chiodo & Davide Lauria & Fabio Mottola, 2018. "Life Cycle Estimation of Battery Energy Storage Systems for Primary Frequency Regulation," Energies, MDPI, vol. 11(12), pages 1-24, November.
    10. Zhang, Tengxi & Xin, Li & Wang, Shunjiang & Guo, Ren & Wang, Wentao & Cui, Jia & Wang, Peng, 2024. "A novel approach of energy and reserve scheduling for hybrid power systems: Frequency security constraints," Applied Energy, Elsevier, vol. 361(C).
    11. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Guerrero, Josep M. & David Agundis Tinajero, Gibran, 2022. "Synergizing pico hydel and battery energy storage with adaptive synchronverter control for frequency regulation of autonomous microgrids," Applied Energy, Elsevier, vol. 325(C).
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