IDEAS home Printed from https://ideas.repec.org/a/inm/ordeca/v22y2025i3p206-226.html
   My bibliography  Save this article

Optimization Scheduling of Integrated Park Energy Systems with Hydrogen Energy Storage Based on Hybrid Copula

Author

Listed:
  • Wu Zhongqun

    (School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China)

  • Liang Jian

    (School of Economics and Management, North China Electric Power University, Changping, Beijing 102206, China)

Abstract

In order to improve the energy utilization efficiency of the comprehensive energy park and the proportion of renewable energy grid connection, this paper first proposes to use the hybrid copula theory to construct a wind power and photovoltaics joint output model, reducing the uncertainty of wind power output and photovoltaic output. Secondly, this paper proposes the participation of hydrogen energy storage equipment in the power system scheduling of integrated energy parks. Hydrogen energy storage, as a clean, efficient, and sustainable carbon-free energy storage technology, can be used to mitigate the impact of wind power and photovoltaics output on the power grid. Finally, this paper proposes to construct an optimized scheduling model that considers economic optimization and proves the economic feasibility of the model through case analysis. The calculation results show that the comprehensive energy operating cost has been reduced by 14.15%, the proportion of thermal power output has been reduced by 32.54%, and the proportion of wind solar combined output has increased by 30.9%.

Suggested Citation

  • Wu Zhongqun & Liang Jian, 2025. "Optimization Scheduling of Integrated Park Energy Systems with Hydrogen Energy Storage Based on Hybrid Copula," Decision Analysis, INFORMS, vol. 22(3), pages 206-226, September.
    • Handle: RePEc:inm:ordeca:v:22:y:2025:i:3:p:206-226
    DOI: 10.1287/deca.2024.0261
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/deca.2024.0261
    Download Restriction: no
    File URL: https://libkey.io/10.1287/deca.2024.0261?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
    ---><---

    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:inm:ordeca:v:22:y:2025:i:3:p:206-226. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.