IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i17p4391-d1469669.html
   My bibliography  Save this article

Hybrid-Energy Storage Optimization Based on Successive Variational Mode Decomposition and Wind Power Frequency Modulation Power Fluctuation

Author

Listed:
  • Changqing Chen

    (School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413000, China
    Xiangtan Motor Co., Ltd., Xiangtan 411201, China)

  • Weihua Tang

    (Hunan Electric Power Design Institute Co., Ltd., China Energy Construction Group, Changsha 410007, China)

  • Yunqing Xia

    (Xiangtan Motor Co., Ltd., Xiangtan 411201, China)

  • Chang Chen

    (School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413000, China)

Abstract

In order to solve the problem of frequency modulation power deviation caused by the randomness and fluctuation of wind power outputs, a method of auxiliary wind power frequency modulation capacity allocation based on the data decomposition of a “flywheel + lithium battery” hybrid-energy storage system was proposed. Firstly, the frequency modulation power deviation caused by the uncertainty of wind power is decomposed by the successive variational mode decomposition (SVMD) method, and the mode function is segmented and reconstructed by high and low frequencies. Secondly, a mathematical model is established to maximize the economic benefit of energy storage considering the frequency modulation mileage, and quantum particle swarm optimization is used to solve the target model considering the charging and discharging power of energy storage and the charging state constraints to obtain the optimal hybrid-energy storage configuration. Finally, the simulation results show that, in the step disturbance, the Δ f max of the hybrid-energy storage mode is reduced by 37.9% and 15.3%, respectively, compared with single-energy storage. Under continuous disturbance conditions, compared with the single-energy storage mode, the Δ f p_v is reduced by 52.73%, 43.72%, 60.71%, and 47.62%, respectively. The frequency fluctuation range is obviously reduced, and the frequency stability is greatly improved.

Suggested Citation

  • Changqing Chen & Weihua Tang & Yunqing Xia & Chang Chen, 2024. "Hybrid-Energy Storage Optimization Based on Successive Variational Mode Decomposition and Wind Power Frequency Modulation Power Fluctuation," Energies, MDPI, vol. 17(17), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4391-:d:1469669
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/17/4391/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/17/4391/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rui Hou & Jiqing Liu & Jingbo Zhao & Jinhui Liu & Wenxiang Chen, 2024. "State of Charge Balancing Control Strategy for Wind Power Hybrid Energy Storage Based on Successive Variational Mode Decomposition and Multi-Fuzzy Control," Energies, MDPI, vol. 17(22), pages 1-26, November.

    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:17:y:2024:i:17:p:4391-:d:1469669. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.