IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v344y2023ics0306261923006207.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923006207
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.121256?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Sun, Yue & Luo, Zhiwen & Li, Yu & Zhao, Tianyi, 2024. "Grey-box model-based demand side management for rooftop PV and air conditioning systems in public buildings using PSO algorithm," Energy, Elsevier, vol. 296(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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).
    3. Sattar, Faisal & Ghosh, Sudipta & Isbeih, Younes J. & El Moursi, Mohamed Shawky & Al Durra, Ahmed & El Fouly, Tarek H.M., 2024. "A predictive tool for power system operators to ensure frequency stability for power grids with renewable energy integration," Applied Energy, Elsevier, vol. 353(PB).
    4. Ali Jawad Alrubaie & Mohamed Salem & Khalid Yahya & Mahmoud Mohamed & Mohamad Kamarol, 2023. "A Comprehensive Review of Electric Vehicle Charging Stations with Solar Photovoltaic System Considering Market, Technical Requirements, Network Implications, and Future Challenges," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    5. Davi-Arderius, Daniel & Jamasb, Tooraj & Rosellon, Juan, 2024. "Network Operation and Constraints and the Path to Net Zero," Working Papers 8-2024, Copenhagen Business School, Department of Economics.
    6. Yohan Jang & Zhuoya Sun & Sanghyuk Ji & Chaeeun Lee & Daeung Jeong & Seunghoon Choung & Sungwoo Bae, 2021. "Grid-Connected Inverter for a PV-Powered Electric Vehicle Charging Station to Enhance the Stability of a Microgrid," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
    7. Wadi, Mohammed & Shobole, Abdulfetah & Elmasry, Wisam & Kucuk, Ismail, 2024. "Load frequency control in smart grids: A review of recent developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    8. 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).
    9. Yang, Shaohua & Lao, Keng-Weng & Hui, Hongxun & Chen, Yulin, 2023. "A robustness-enhanced frequency regulation scheme for power system against multiple cyber and physical emergency events," Applied Energy, Elsevier, vol. 350(C).
    10. Pengfei Yan & Yaning Li & Qiang Gao & Shuai Lian & Qihui Wu, 2023. "Design and Analysis of an Adaptive Dual-Drive Lift–Drag Composite Vertical-Axis Wind Turbine Generator," Energies, MDPI, vol. 16(22), pages 1-15, November.
    11. Dong, Zhen & Li, Zhongguo & Liang, Zhongchao & Xu, Yiqiao & Ding, Zhengtao, 2021. "Distributed neural network enhanced power generation strategy of large-scale wind power plant for power expansion," Applied Energy, Elsevier, vol. 303(C).
    12. Garcet, J. & De Meulenaere, R. & Blondeau, J., 2022. "Enabling flexible CHP operation for grid support by exploiting the DHN thermal inertia," Applied Energy, Elsevier, vol. 316(C).
    13. Park, Joungho & Kang, Sungho & Kim, Sunwoo & Kim, Hana & Kim, Sang-Kyung & Lee, Jay H., 2024. "Optimizing green hydrogen systems: Balancing economic viability and reliability in the face of supply-demand volatility," Applied Energy, Elsevier, vol. 368(C).
    14. Hand, Brian & Kelly, Ger & Cashman, Andrew, 2021. "Aerodynamic design and performance parameters of a lift-type vertical axis wind turbine: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    15. Xinghua Liu & Siwei Qiao & Zhiwei Liu, 2023. "A Survey on Load Frequency Control of Multi-Area Power Systems: Recent Challenges and Strategies," Energies, MDPI, vol. 16(5), pages 1-22, February.
    16. Oshnoei, Soroush & Aghamohammadi, Mohammad Reza & Oshnoei, Siavash & Sahoo, Subham & Fathollahi, Arman & Khooban, Mohammad Hasan, 2023. "A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control," Applied Energy, Elsevier, vol. 343(C).
    17. Rehman, Obaid Ur & Khan, Shahid A. & Javaid, Nadeem, 2021. "Decoupled building-to-transmission-network for frequency support in PV systems dominated grid," Renewable Energy, Elsevier, vol. 178(C), pages 930-945.
    18. Pompodakis, Evangelos E. & Kryonidis, Georgios C. & Karapidakis, Emmanuel S., 2023. "Volt/Var control and energy management in non-interconnected insular networks with multiple hybrid power plants," Applied Energy, Elsevier, vol. 331(C).
    19. Wu, Long & Yin, Xunyuan & Pan, Lei & Liu, Jinfeng, 2023. "Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy," Applied Energy, Elsevier, vol. 349(C).
    20. Mokhtar Aly & Emad A. Mohamed & Abdullah M. Noman & Emad M. Ahmed & Fayez F. M. El-Sousy & Masayuki Watanabe, 2023. "Optimized Non-Integer Load Frequency Control Scheme for Interconnected Microgrids in Remote Areas with High Renewable Energy and Electric Vehicle Penetrations," Mathematics, MDPI, vol. 11(9), pages 1-31, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:344:y:2023:i:c:s0306261923006207. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.