IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v121y2018icp173-187.html
   My bibliography  Save this article

Modeling and dynamic response control for primary frequency regulation of hydro-turbine governing system with surge tank

Author

Listed:
  • Guo, Wencheng
  • Yang, Jiandong

Abstract

This paper aims to study the modeling and dynamic response control for primary frequency regulation of hydro-turbine governing system with surge tank. Firstly, the index of dynamic response control for primary frequency regulation is selected and illustrated. Then, the sine wave assumption of water level oscillation in surge tank is proposed, and a novel simplified model for hydro-turbine governing system is obtained. Using the simplified model, the analytical expression for dynamic response of power output is derived. Finally, the concept for the domain of primary frequency regulation is proposed. The effects of influence factors on response performance of primary frequency regulation are analyzed. The results indicate that water level oscillation in surge tank can be assumed as a sine wave. The assumed sine oscillation describes the characteristics of the unsteady flow in headrace tunnel and surge tank. The analytical solution for dynamic response of power output obtained from the sine wave assumption is reasonable and has good accuracy. The dynamic response of power output is superposed by four independent subwaves. The response performance of primary frequency regulation can be quantitatively evaluated by domain of primary frequency regulation. The larger the domain of primary frequency regulation, the better the response performance.

Suggested Citation

  • Guo, Wencheng & Yang, Jiandong, 2018. "Modeling and dynamic response control for primary frequency regulation of hydro-turbine governing system with surge tank," Renewable Energy, Elsevier, vol. 121(C), pages 173-187.
    • Handle: RePEc:eee:renene:v:121:y:2018:i:c:p:173-187
    DOI: 10.1016/j.renene.2018.01.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118300223
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.01.022?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. Pandey, Shashi Kant & Mohanty, Soumya R. & Kishor, Nand, 2013. "A literature survey on load–frequency control for conventional and distribution generation power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 318-334.
    2. Weijia Yang & Jiandong Yang & Wencheng Guo & Wei Zeng & Chao Wang & Linn Saarinen & Per Norrlund, 2015. "A Mathematical Model and Its Application for Hydro Power Units under Different Operating Conditions," Energies, MDPI, vol. 8(9), pages 1-16, September.
    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. Hu, Jinhong & Yang, Jiebin & He, Xianghui & Zhao, Zhigao & Yang, Jiandong, 2023. "Transient analysis of a hydropower plant with a super-long headrace tunnel during load acceptance: Instability mechanism and measurement verification," Energy, Elsevier, vol. 263(PA).
    2. Shan, Kui & Wang, Shengwei & Zhuang, Chaoqun, 2021. "Controlling a large constant speed centrifugal chiller to provide grid frequency regulation: A validation based on onsite tests," Applied Energy, Elsevier, vol. 300(C).
    3. Narendra Kumar Jena & Subhadra Sahoo & Binod Kumar Sahu & Amiya Kumar Naik & Mohit Bajaj & Stanislav Misak & Vojtech Blazek & Lukas Prokop, 2023. "Impact of a Redox Flow Battery on the Frequency Stability of a Five-Area System Integrated with Renewable Sources," Energies, MDPI, vol. 16(14), pages 1-29, July.
    4. Fernández-Guillamón, Ana & Gómez-Lázaro, Emilio & Muljadi, Eduard & Molina-García, Ángel, 2019. "Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    5. Eleftherios Vlahakis & Leonidas Dritsas & George Halikias, 2019. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems," Energies, MDPI, vol. 12(14), pages 1-28, July.
    6. 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.
    7. Anh-Tuan Tran & Bui Le Ngoc Minh & Van Van Huynh & Phong Thanh Tran & Emmanuel Nduka Amaefule & Van-Duc Phan & Tam Minh Nguyen, 2021. "Load Frequency Regulator in Interconnected Power System Using Second-Order Sliding Mode Control Combined with State Estimator," Energies, MDPI, vol. 14(4), pages 1-17, February.
    8. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    9. Liubomyr Vytvytskyi & Bernt Lie, 2019. "OpenHPL for Modelling the Trollheim Hydropower Plant," Energies, MDPI, vol. 12(12), pages 1-19, June.
    10. Singh, Bindeshwar & Mukherjee, V. & Tiwari, Prabhakar, 2015. "A survey on impact assessment of DG and FACTS controllers in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 846-882.
    11. Tang, Yi & Li, Feng & Chen, Qian & Li, Mengya & Wang, Qi & Ni, Ming & Chen, Gang, 2018. "Frequency prediction method considering demand response aggregate characteristics and control effects," Applied Energy, Elsevier, vol. 229(C), pages 936-944.
    12. Chunyu Chen & Kaifeng Zhang & Kun Yuan & Xianliang Teng, 2017. "Tie-Line Bias Control Applicability to Load Frequency Control for Multi-Area Interconnected Power Systems of Complex Topology," Energies, MDPI, vol. 10(1), pages 1-15, January.
    13. Shangguan, Xing-Chen & He, Yong & Zhang, Chuan-Ke & Jiang, Lin & Wu, Min, 2022. "Load frequency control of time-delayed power system based on event-triggered communication scheme," Applied Energy, Elsevier, vol. 308(C).
    14. Kumar, N.J. Vinoth & Thameem Ansari, M. Mohamed, 2015. "A new design of dual-mode Type-II fuzzy logic load frequency controller for interconnected power systems with parallel AC–DC tie-lines and superconducting magnetic energy storage unit," Energy, Elsevier, vol. 89(C), pages 118-137.
    15. Donglin Yan & Weiyu Wang & Qijuan Chen, 2018. "Nonlinear Modeling and Dynamic Analyses of the Hydro–Turbine Governing System in the Load Shedding Transient Regime," Energies, MDPI, vol. 11(5), pages 1-17, May.
    16. Salas, V. & Suponthana, W. & Salas, R.A., 2015. "Overview of the off-grid photovoltaic diesel batteries systems with AC loads," Applied Energy, Elsevier, vol. 157(C), pages 195-216.
    17. Liu, Dong & Wang, Xin & Peng, Yunshui & Zhang, Hui & Xiao, Zhihuai & Han, Xiangdong & Malik, O.P., 2020. "Stability analysis of hydropower units under full operating conditions considering turbine nonlinearity," Renewable Energy, Elsevier, vol. 154(C), pages 723-742.
    18. Hongyue Li & Xihuai Wang & Jianmei Xiao, 2018. "Differential Evolution-Based Load Frequency Robust Control for Micro-Grids with Energy Storage Systems," Energies, MDPI, vol. 11(7), pages 1-19, June.
    19. Urtasun, Andoni & Sanchis, Pablo & Barricarte, David & Marroyo, Luis, 2014. "Energy management strategy for a battery-diesel stand-alone system with distributed PV generation based on grid frequency modulation," Renewable Energy, Elsevier, vol. 66(C), pages 325-336.
    20. Ma, Weichao & Zhao, Zhigao & Yang, Jiebin & Lai, Xu & Liu, Chengpeng & Yang, Jiandong, 2024. "A transient analysis framework for hydropower generating systems under parameter uncertainty by integrating physics-based and data-driven models," Energy, Elsevier, vol. 297(C).

    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:renene:v:121:y:2018:i:c:p:173-187. 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.journals.elsevier.com/renewable-energy .

    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.