IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i13p3551-d1695292.html
   My bibliography  Save this article

Prescribed Performance Load Frequency Control for Regional Interconnected Power System Under Energy Storage System Output Constraints

Author

Listed:
  • Ming Lu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Miao Yu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

This study addresses the issue of frequency instability caused by an imbalance between load power and generation power in a power system. A state-space model of a two-area power system including a thermal power plant is first established, incorporating the output power limitations of the energy storage system, which is the actuator for frequency control. Under input saturation constraints, a frequency control strategy based on a prescribed performance control technique is proposed. This strategy not only ensures frequency stability but also achieves an optimal transient response curve. The proposed control strategy is theoretically validated and numerically simulated, demonstrating its effectiveness in suppressing frequency variations in power systems under constraints regarding the output power of the energy storage system.

Suggested Citation

  • Ming Lu & Miao Yu, 2025. "Prescribed Performance Load Frequency Control for Regional Interconnected Power System Under Energy Storage System Output Constraints," Energies, MDPI, vol. 18(13), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3551-:d:1695292
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/13/3551/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/13/3551/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cui, Kunpeng & Wang, Chenyu & Liu, Zhenfei & Fu, Deran & Chen, Guo & Li, Wen & Nie, Lei & Shen, Yijun & Xu, Yonghong & Kuang, Rao, 2025. "Efficiency analysis of ocean compressed air energy storage system under constant volume air storage conditions," Energy, Elsevier, vol. 329(C).
    2. Dao Huy Tuan & Dao Trong Tran & Van Nguyen Ngoc Thanh & Van Van Huynh, 2025. "Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems," Energies, MDPI, vol. 18(4), pages 1-17, February.
    3. Kim, Y.M. & Shin, D.G. & Favrat, D., 2011. "Operating characteristics of constant-pressure compressed air energy storage (CAES) system combined with pumped hydro storage based on energy and exergy analysis," Energy, Elsevier, vol. 36(10), pages 6220-6233.
    4. Ashish Shrestha & Francisco Gonzalez-Longatt, 2021. "Frequency Stability Issues and Research Opportunities in Converter Dominated Power System," Energies, MDPI, vol. 14(14), pages 1-28, July.
    5. Wang, Pei & Guo, Jiang & Cheng, Fangjuan & Gu, Yifeng & Yuan, Fang & Zhang, Fangqing, 2025. "A MPC-based load frequency control considering wind power intelligent forecasting," Renewable Energy, Elsevier, vol. 244(C).
    6. Xu, Yonghong & Fang, Juan & Zhang, Hongguang & Song, Songsong & Tong, Liang & Peng, Baoying & Yang, Fubin, 2025. "Experimental investigation on the output performance of a micro compressed air energy storage system based on a scroll expander," Renewable Energy, Elsevier, vol. 243(C).
    Full references (including those not matched with items on IDEAS)

    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. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    2. Liu, Jin-Long & Wang, Jian-Hua, 2015. "Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor," Energy, Elsevier, vol. 91(C), pages 420-429.
    3. Yang, Biao & Li, Deyou & Wang, Chuanchao & Zhang, Yi & Fu, Xiaolong & Wang, Hongjie, 2024. "Performance analysis of a novel multi-machine compensable pumped hydro compressed air energy storage system," Energy, Elsevier, vol. 310(C).
    4. Xu, Ying & Ren, Li & Zhang, Zhongping & Tang, Yuejin & Shi, Jing & Xu, Chen & Li, Jingdong & Pu, Dongsheng & Wang, Zhuang & Liu, Huajun & Chen, Lei, 2018. "Analysis of the loss and thermal characteristics of a SMES (Superconducting Magnetic Energy Storage) magnet with three practical operating conditions," Energy, Elsevier, vol. 143(C), pages 372-384.
    5. Li, Chengchen & Wang, Huanran & He, Xin & Zhang, Yan, 2022. "Experimental and thermodynamic investigation on isothermal performance of large-scaled liquid piston," Energy, Elsevier, vol. 249(C).
    6. Cummins, Joshua J. & Nash, Christopher J. & Thomas, Seth & Justice, Aaron & Mahadevan, Sankaran & Adams, Douglas E. & Barth, Eric J., 2017. "Energy conservation in industrial pneumatics: A state model for predicting energetic savings using a novel pneumatic strain energy accumulator," Applied Energy, Elsevier, vol. 198(C), pages 239-249.
    7. Zhang, Weifeng & Ding, Jialu & Yin, Suzhen & Zhang, Fangyuan & Zhang, Yao & Liu, Zhan, 2024. "Thermo-economic optimization of an artificial cavern compressed air energy storage with CO2 pressure stabilizing unit," Energy, Elsevier, vol. 294(C).
    8. Briola, Stefano & Di Marco, Paolo & Gabbrielli, Roberto & Riccardi, Juri, 2016. "A novel mathematical model for the performance assessment of diabatic compressed air energy storage systems including the turbomachinery characteristic curves," Applied Energy, Elsevier, vol. 178(C), pages 758-772.
    9. Zhang, Yi & Xu, Yujie & Zhou, Xuezhi & Guo, Huan & Zhang, Xinjing & Chen, Haisheng, 2019. "Compressed air energy storage system with variable configuration for accommodating large-amplitude wind power fluctuation," Applied Energy, Elsevier, vol. 239(C), pages 957-968.
    10. Daniel Pottie & Bruno Cardenas & Seamus Garvey & James Rouse & Edward Hough & Audrius Bagdanavicius & Edward Barbour, 2023. "Comparative Analysis of Isochoric and Isobaric Adiabatic Compressed Air Energy Storage," Energies, MDPI, vol. 16(6), pages 1-18, March.
    11. Guittet, Mélanie & Capezzali, Massimiliano & Gaudard, Ludovic & Romerio, Franco & Vuille, François & Avellan, François, 2016. "Study of the drivers and asset management of pumped-storage power plants historical and geographical perspective," Energy, Elsevier, vol. 111(C), pages 560-579.
    12. Wang, Zhiwen & Xiong, Wei & Ting, David S.-K. & Carriveau, Rupp & Wang, Zuwen, 2016. "Conventional and advanced exergy analyses of an underwater compressed air energy storage system," Applied Energy, Elsevier, vol. 180(C), pages 810-822.
    13. Zhou, Qian & Du, Dongmei & Lu, Chang & He, Qing & Liu, Wenyi, 2019. "A review of thermal energy storage in compressed air energy storage system," Energy, Elsevier, vol. 188(C).
    14. Zhang, Yuan & Yang, Ke & Li, Xuemei & Xu, Jianzhong, 2013. "The thermodynamic effect of air storage chamber model on Advanced Adiabatic Compressed Air Energy Storage System," Renewable Energy, Elsevier, vol. 57(C), pages 469-478.
    15. Jubeh, Naser M. & Najjar, Yousef S.H., 2012. "Power augmentation with CAES (compressed air energy storage) by air injection or supercharging makes environment greener," Energy, Elsevier, vol. 38(1), pages 228-235.
    16. Sarmast, Sepideh & Rouindej, Kamyar & Fraser, Roydon A. & Dusseault, Maurice B., 2024. "Optimizing near-adiabatic compressed air energy storage (NA-CAES) systems: Sizing and design considerations," Applied Energy, Elsevier, vol. 357(C).
    17. Pimm, Andrew J. & Garvey, Seamus D. & de Jong, Maxim, 2014. "Design and testing of Energy Bags for underwater compressed air energy storage," Energy, Elsevier, vol. 66(C), pages 496-508.
    18. Yun-Sin Chen & Cheng-Yu Hu & Chun-Yi Li & Jia-Bin Lin & Yi-Che Shih, 2025. "Marine Spatial Planning for Offshore Wind Firms: A Comparison of Global Existing Policies and Data for Energy System Storage," Sustainability, MDPI, vol. 17(13), pages 1-19, June.
    19. Hao, Yinping & He, Qing & Fu, Hailun & Du, Dongmei & Liu, Wenyi, 2021. "Thermal parameter optimization design of an energy storage system with CO2 as working fluid," Energy, Elsevier, vol. 230(C).
    20. Kruk-Gotzman, Sylwia & Ziółkowski, Paweł & Iliev, Iliya & Negreanu, Gabriel-Paul & Badur, Janusz, 2023. "Techno-economic evaluation of combined cycle gas turbine and a diabatic compressed air energy storage integration concept," Energy, Elsevier, vol. 266(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jeners:v:18:y:2025:i:13:p:3551-:d:1695292. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.