IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i19p4766-d1484416.html
   My bibliography  Save this article

Optimization of Provincial Power Source Structure Planning in Northwestern China Based on Time-Series Production Simulation

Author

Listed:
  • Zhou Su

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China)

  • Guoqing Yang

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Lixiao Yao

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Qingqing Zhou

    (State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China)

  • Yuhan Zhang

    (State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China)

Abstract

With the increasing of renewable energy penetration rate in power source structure, the impact of its uncertainty on the stability of the power system is becoming increasingly apparent. The power system faces dual pressures of ensuring power supply and renewable energy accommodation. The way in which to accurately plan the power structure under situations with a high renewable energy penetration rate has become an urgent issue for future power infrastructure upgrading. In this paper, a rational power structure model was proposed for a provincial power grid by iteratively optimizing variables. The synergistic relationship between renewable energy, traditional power sources, and the energy storage system was considered comprehensively and calculated through the time-series production simulation method. The as-proposed model was studied using a scenario of a provincial grid plan in the year 2035. The power balance, electricity consumption, and renewable energy utilization were systematically analyzed, providing an important theoretical basis for the optimization and upgrading of provincial power systems under the rapid growth of renewable energy.

Suggested Citation

  • Zhou Su & Guoqing Yang & Lixiao Yao & Qingqing Zhou & Yuhan Zhang, 2024. "Optimization of Provincial Power Source Structure Planning in Northwestern China Based on Time-Series Production Simulation," Energies, MDPI, vol. 17(19), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4766-:d:1484416
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/19/4766/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/19/4766/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Min Xu & Wanwei Li & Zhihui Feng & Wangwang Bai & Lingling Jia & Zhanhong Wei, 2023. "Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty," Energies, MDPI, vol. 16(4), pages 1-20, February.
    2. Yishan Shi & Ruipeng Guo & Yuchen Tang & Yi Lin & Zhanxin Yang, 2023. "Integrated Transmission Network Planning by Considering Wind Power’s Uncertainty and Disasters," Energies, MDPI, vol. 16(14), pages 1-25, July.
    3. Fan Li & Dan Wang & Dong Liu & Songheng Yang & Ke Sun & Zhongjian Liu & Haoyang Yu & Jishuo Qin, 2023. "A Comprehensive Review on Energy Storage System Optimal Planning and Benefit Evaluation Methods in Smart Grids," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    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. Markos A. Kousounadis-Knousen & Ioannis K. Bazionis & Athina P. Georgilaki & Francky Catthoor & Pavlos S. Georgilakis, 2023. "A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models," Energies, MDPI, vol. 16(15), pages 1-29, July.

    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:19:p:4766-:d:1484416. 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.