IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7292-d933194.html
   My bibliography  Save this article

A Multiple Time Scales Rolling Coordinative Dispatching Method for an Island Microgrid with High Proportion Tidal Current Energy Access and Demand Response Resources

Author

Listed:
  • Yani Ouyang

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wei Zhao

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Haifeng Wang

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wenyong Wang

    (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Currently, the ocean energy strategy is rapidly developing, and a high proportionate tidal current energy grid connection presents significant obstacles to the planning and secure and stable operation of an island microgrid. For an island microgrid with high proportion tidal current energy access and demand response resources, this research suggests a multiple time scales rolling coordinative dispatching method. An MPPT control based on Q-Learning algorithm is first developed for real-time maximum power tracking of tidal current energy generation after the island microgrid’s topology has been examined. Following that, a multiple time scales rolling coordinative dispatching’s fundamental architecture and implementation method are provided, with equal time intervals coordinated in a step-by-step recursive way. In the example analysis of an island microgrid, we consider the rigid demand load that does not participate in the demand side response, and the ship load and controllable load that participate in the demand side response. On sea islands, ship loads on the long timeframe achieve traffic and energy interaction, and dispatchable loads on the short timescale participate in supply and demand balancing. This is due to the multiple time scales properties of demand response resources. In addition, a multiple time scales rolling coordinative dispatching model for an island microgrid is developed. It includes day-ahead, intraday, and real-time components. Finally, example analysis is used to confirm the dispatching method’s usefulness and advancement, and we conclude that the tidal current energy consumption rate of the island microgrid is increased by 17.08%.

Suggested Citation

  • Yani Ouyang & Wei Zhao & Haifeng Wang & Wenyong Wang, 2022. "A Multiple Time Scales Rolling Coordinative Dispatching Method for an Island Microgrid with High Proportion Tidal Current Energy Access and Demand Response Resources," Energies, MDPI, vol. 15(19), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7292-:d:933194
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7292/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/7292/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhenyu Zhuo & Ershun Du & Ning Zhang & Chris P. Nielsen & Xi Lu & Jinyu Xiao & Jiawei Wu & Chongqing Kang, 2022. "Cost increase in the electricity supply to achieve carbon neutrality in China," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    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. Pan, Yue & Chai, Jian & Tian, Lingyue & Zhang, Xiaokong & Wang, Jiaoyan, 2024. "Regional inequality in China's electricity trade," Energy, Elsevier, vol. 313(C).
    2. Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Zengkai Zhang & Jiaoyan Li & Dabo Guan, 2023. "Value chain carbon footprints of Chinese listed companies," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    4. Zhao, Ke-Xin & Xu, Fei-Ran & Zhou, Yan & Ma, Tao, 2024. "The heterogeneous effects of non-hydro renewable energy and water resources on industrial development of the Yellow river and Yangtze river basins," Energy, Elsevier, vol. 301(C).
    5. Li, Zepeng & Wu, Qiuwei & Li, Hui & Nie, Chengkai & Tan, Jin, 2024. "Distributed low-carbon economic dispatch of integrated power and transportation system," Applied Energy, Elsevier, vol. 353(PA).
    6. Yihan Wang & Chen Chen & Yuan Tao & Zongguo Wen, 2025. "Uneven renewable energy supply constrains the decarbonization effects of excessively deployed hydrogen-based DRI technology," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    7. Zhang, Hongyu & Deji, Wangzhen & Farinotti, Daniel & Zhang, Da & Huang, Junling, 2024. "The role of Xizang in China's transition towards a carbon-neutral power system," Energy, Elsevier, vol. 313(C).
    8. Yao, En-jian & Zhang, Tian-yu & Wang, David Z.W. & Zhang, Jun-yi, 2024. "Dynamic planning and decarbonization pathways of the highway power supply network," Applied Energy, Elsevier, vol. 376(PB).
    9. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).
    10. Zhang, Hongji & Ding, Tao & Sun, Yuge & Huang, Yuhan & He, Yuankang & Huang, Can & Li, Fangxing & Xue, Chen & Sun, Xiaoqiang, 2023. "How does load-side re-electrification help carbon neutrality in energy systems: Cost competitiveness analysis and life-cycle deduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    11. Zhang, Yun-Long & Kang, Jia-Ning & Liu, Lan-Cui & Wei, Yi-Ming, 2024. "Unveiling the evolution and future prospects: A comprehensive review of low-carbon transition in the coal power industry," Applied Energy, Elsevier, vol. 371(C).
    12. Guo, Zhi & Mao, Xianqiang & Lu, Jianhong & Gao, Yubing & Chen, Xing & Zhang, Shining & Ma, Zhiyuan, 2024. "Can a new power system create more employment in China?," Energy, Elsevier, vol. 295(C).
    13. Ai, Hongshan & Tan, Xiaoqing & Mangla, Sachin Kumar & Emrouznejad, Ali & Liu, Fan & Song, Malin, 2025. "Renewable energy transition and sustainable development: Evidence from China," Energy Economics, Elsevier, vol. 143(C).
    14. Yang, Mao & Han, Chao & Zhang, Wei & Wang, Bo, 2024. "A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information," Energy, Elsevier, vol. 294(C).
    15. Wang, Aijia & Wang, Junqi & Zhang, Ruijun & Cao, Shi-Jie, 2024. "Mitigating urban heat and air pollution considering green and transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    16. Onodera, Hiroaki & Delage, Rémi & Nakata, Toshihiko, 2024. "The role of regional renewable energy integration in electricity decarbonization—A case study of Japan," Applied Energy, Elsevier, vol. 363(C).
    17. Wang, Han & Zhang, Jiawei & Wang, Peng & Zhang, Ning, 2025. "The role of demand-side flexibilities on low-carbon transition in power system: A case study of West Inner Mongolia, China," Renewable Energy, Elsevier, vol. 242(C).
    18. Jiang, Haiyang & Du, Ershun & He, Boyu & Zhang, Ning & Wang, Peng & Li, Fuqiang & Ji, Jie, 2023. "Analysis and modeling of seasonal characteristics of renewable energy generation," Renewable Energy, Elsevier, vol. 219(P1).
    19. Kai Jiang & Nian Liu & Kunyu Wang & Yubing Chen & Jianxiao Wang & Yu Liu, 2025. "Spatiotemporal assessment of renewable adequacy during diverse extreme weather events in China," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    20. Yuan, Hong & Ma, Minda & Zhou, Nan & Xie, Hui & Ma, Zhili & Xiang, Xiwang & Ma, Xin, 2024. "Battery electric vehicle charging in China: Energy demand and emissions trends in the 2020s," Applied Energy, Elsevier, vol. 365(C).

    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:gam:jeners:v:15:y:2022:i:19:p:7292-:d:933194. 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.