IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p4086-d830147.html
   My bibliography  Save this article

Frequency Modulation Control of Hydraulic Wind Turbines Based on Ocean Used Wind Turbines and Energy Storage

Author

Listed:
  • Lijuan Chen

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China)

  • Pengfei Zheng

    (Hebei Heavy Machinery Fluid Power Transmission and Control Lab, Yanshan University, Qinhuangdao 066004, China
    Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China)

  • Wei Gao

    (Hebei Heavy Machinery Fluid Power Transmission and Control Lab, Yanshan University, Qinhuangdao 066004, China
    Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China)

  • Jishang Jiang

    (Hebei Heavy Machinery Fluid Power Transmission and Control Lab, Yanshan University, Qinhuangdao 066004, China
    Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China)

  • Jiafei Chang

    (Hebei Heavy Machinery Fluid Power Transmission and Control Lab, Yanshan University, Qinhuangdao 066004, China
    Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China)

  • Rukang Wu

    (Nanjing Institute of Technology, Nanjing 211167, China)

  • Chao Ai

    (Hebei Heavy Machinery Fluid Power Transmission and Control Lab, Yanshan University, Qinhuangdao 066004, China
    Key Laboratory of Advanced Forging & Stamping Technology and Science, Yanshan University, Ministry of Education of China, Qinhuangdao 066004, China)

Abstract

Based on the energy storage type of hydraulic wind turbines (HWTs) and in view of the unit frequency drop problem under high wind power proportion conditions, this paper proposes a method of primary frequency control under maximum power point tracking (MPPT). HWT power output is affected by wind speed randomness and volatility. In addition, traditional wind turbines do not have inertial adjustment ability, leading to a decrease in the frequency stability of the power system caused by the increase in wind power permeability. In the paper, a hydraulic energy storage system and synchronous generator are combined to carry out primary frequency modulation, and a mathematical model of the hydraulic energy storage system, the hydraulic main transmission system, and the generator active power regulation system after grid connection is established. By analyzing the load changing rules of power systems and frequency fluctuation caused by the power system load after the wind turbine is grid-connected, the variable parameter frequency modulation compensation control strategy of combined turbine-energy storage systems is established, and simulation verification under different load fluctuations is carried out, verifying the effectiveness of the frequency modulation control strategy, which achieves a good control effect for improving the frequency modulation ability of hydraulic wind turbines.

Suggested Citation

  • Lijuan Chen & Pengfei Zheng & Wei Gao & Jishang Jiang & Jiafei Chang & Rukang Wu & Chao Ai, 2022. "Frequency Modulation Control of Hydraulic Wind Turbines Based on Ocean Used Wind Turbines and Energy Storage," Energies, MDPI, vol. 15(11), pages 1-33, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4086-:d:830147
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/4086/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/11/4086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lacal Arantegui, Roberto & Jäger-Waldau, Arnulf, 2018. "Photovoltaics and wind status in the European Union after the Paris Agreement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2460-2471.
    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. Zhen Qin & Xiaoran Tang & Yu-Ting Wu & Sung-Ki Lyu, 2022. "Advancement of Tidal Current Generation Technology in Recent Years: A Review," Energies, MDPI, vol. 15(21), pages 1-18, October.
    2. Salah Beni Hamed & Mouna Ben Hamed & Lassaad Sbita, 2022. "Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach," Energies, MDPI, vol. 15(17), pages 1-21, August.

    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. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
    2. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe & Ozturk, Ilhan, 2022. "Economics and policy implications of residential photovoltaic systems in Italy's developed market," Utilities Policy, Elsevier, vol. 79(C).
    3. Papadopoulos, V. & Knockaert, J. & Develder, C. & Desmet, J., 2019. "Investigating the need for real time measurements in industrial wind power systems combined with battery storage," Applied Energy, Elsevier, vol. 247(C), pages 559-571.
    4. Vasileios Papadopoulos & Jos Knockaert & Chris Develder & Jan Desmet, 2020. "Peak Shaving through Battery Storage for Low-Voltage Enterprises with Peak Demand Pricing," Energies, MDPI, vol. 13(5), pages 1-17, March.
    5. Yahya, Farzan & Abbas, Ghulam & Lee, Chien-Chiang, 2023. "Asymmetric effects and volatility transmission from metals markets to solar energy stocks: Evidence from DCC, ADCC, and quantile regression approach," Resources Policy, Elsevier, vol. 82(C).
    6. Zhang, Hongwei & Zhang, Yubo & Gao, Wang & Li, Yingli, 2023. "Extreme quantile spillovers and drivers among clean energy, electricity and energy metals markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants," Energy Policy, Elsevier, vol. 147(C).
    8. Kamani, D. & Ardehali, M.M., 2023. "Long-term forecast of electrical energy consumption with considerations for solar and wind energy sources," Energy, Elsevier, vol. 268(C).
    9. Yoro, Kelvin O. & Daramola, Michael O. & Sekoai, Patrick T. & Wilson, Uwemedimo N. & Eterigho-Ikelegbe, Orevaoghene, 2021. "Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    10. Luo, Shunjun & Zhang, Shaohui, 2022. "How R&D expenditure intermediate as a new determinants for low carbon energy transition in Belt and Road Initiative economies," Renewable Energy, Elsevier, vol. 197(C), pages 101-109.
    11. Yu-Ling Hsiao, Cody & Sheng, Ni & Fu, Shenze & Wei, Xinyang, 2022. "Evaluation of contagious effects of China's wind power industrial policies," Energy, Elsevier, vol. 238(PB).
    12. Sofia-Despoina Papadopoulou & Niki Kalaitzoglou & Maria Psarra & Sideri Lefkeli & Evangelia Karasmanaki & Georgios Tsantopoulos, 2019. "Addressing Energy Poverty through Transitioning to a Carbon-Free Environment," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    13. Zhang, Shijie & Wei, Jing & Chen, Xi & Zhao, Yuhao, 2020. "China in global wind power development: Role, status and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    14. Karijadi, Irene & Chou, Shuo-Yan & Dewabharata, Anindhita, 2023. "Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method," Renewable Energy, Elsevier, vol. 218(C).
    15. Rakeshkumar Mahto & Deepak Sharma & Reshma John & Chandrasekhar Putcha, 2021. "Agrivoltaics: A Climate-Smart Agriculture Approach for Indian Farmers," Land, MDPI, vol. 10(11), pages 1-28, November.
    16. Zima, Wiesław, 2019. "Simulation of rapid increase in the steam mass flow rate at a supercritical power boiler outlet," Energy, Elsevier, vol. 173(C), pages 995-1005.
    17. Tian, Jinfang & Yu, Longguang & Xue, Rui & Zhuang, Shan & Shan, Yuli, 2022. "Global low-carbon energy transition in the post-COVID-19 era," Applied Energy, Elsevier, vol. 307(C).
    18. Fabrizio Bonacina & Alessandro Corsini & Lucio Cardillo & Francesca Lucchetta, 2019. "Complex Network Analysis of Photovoltaic Plant Operations and Failure Modes," Energies, MDPI, vol. 12(10), pages 1-14, May.
    19. Dengiz, Thomas & Jochem, Patrick & Fichtner, Wolf, 2019. "Demand response with heuristic control strategies for modulating heat pumps," Applied Energy, Elsevier, vol. 238(C), pages 1346-1360.
    20. Kirchbacher, F. & Miltner, M. & Wukovits, W. & Harasek, M., 2019. "Economic assessment of membrane-based power-to-gas processes for the European biogas market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 338-352.

    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:15:y:2022:i:11:p:4086-:d:830147. 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.