IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p5919-d1529299.html
   My bibliography  Save this article

A Rotating Tidal Current Controller and Energy Router Siting and Capacitation Method Considering Spatio-Temporal Distribution

Author

Listed:
  • Junqing Jia

    (Key Laboratory of Intelligent Power Grid Simulation Enterprise of Inner Mongolia Autonomous Region, Hohhot 010020, China
    Inner Mongolia Electric Power (Group) Co., Ltd., Inner Mongolia Electric Power Research Institute, Hohhot 010020, China)

  • Jia Zhou

    (Navigation Inspection Branch, Inner Mongolia Power (Group) Co., Ltd., Hohhot 010020, China)

  • Yuan Gao

    (Ordos Power Supply Branch, Inner Mongolia Power (Group) Co., Ltd., Ordos 017004, China)

  • Chen Shao

    (Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China)

  • Junda Lu

    (Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China)

  • Jiaoxin Jia

    (Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China)

Abstract

As the proportion of new energy access increases year by year, the resulting energy imbalance and voltage/trend distribution complexity of the distribution network system in the spatio-temporal dimension become more and more prominent. The joint introduction of electromagnetic rotary power flow controller (RPFC) and energy router (ER) can improve the high proportion of new active distribution network (ADN) consumption and power supply reliability from both spatial and temporal dimensions. To this end, the paper proposes an ADN expansion planning method considering RPFC and ER access. A two-layer planning model for RPFC and ER based on spatio-temporal characteristics is established, with the upper model being the siting and capacity-setting layer, which takes the investment and construction cost of RPFC and ER as the optimization objective, and the lower model being the optimal operation layer, which takes the lowest operating cost of the distribution network as the objective. The planning model is solved by a hybrid optimization algorithm with improved particle swarm and second-order cone planning. The proposed planning model and solving algorithm are validated with the IEEE33 node example, and the results show that the joint access of RPFC and ER can effectively improve the spatial-temporal distribution of voltage in the distribution network and has the lowest equivalent annual value investment and operation cost.

Suggested Citation

  • Junqing Jia & Jia Zhou & Yuan Gao & Chen Shao & Junda Lu & Jiaoxin Jia, 2024. "A Rotating Tidal Current Controller and Energy Router Siting and Capacitation Method Considering Spatio-Temporal Distribution," Energies, MDPI, vol. 17(23), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5919-:d:1529299
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/5919/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/23/5919/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen Shao & Xiangwu Yan & Yaohui Yang & Waseem Aslam & Jiaoxin Jia & Jiayao Li, 2024. "Multiple-Zone Synchronous Voltage Regulation and Loss Reduction Optimization of Distribution Networks Based on a Dual Rotary Phase-Shifting Transformer," Sustainability, MDPI, vol. 16(3), pages 1-16, January.
    2. Wang, Ying & Wang, Xinru & Li, Shunyi & Ma, Xiaoyang & Chen, Yunzhu & Liu, Shuming, 2024. "Optimization model for harmonic mitigation based on PV-ESS collaboration in small distribution systems," Applied Energy, Elsevier, vol. 356(C).
    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.

      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:23:p:5919-:d:1529299. 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.