Author
Listed:
- Hu, Weidong
- Huang, Chunyi
- Li, Kangping
- Wang, Qi
- Wang, Chengmin
Abstract
An urban-level 5G communication network composed of densely distributed 5G base stations (BSs) can provide significant flexibility to support power grid operations. Although existing research has undertaken preliminary explorations, such approaches heavily rely on privacy-involved communication traffic data to model the behavior of 5G BSs. It renders them unsuitable for dispatching 5G BS mega-clusters, thereby failing to enable flexible interaction between urban-level communication networks and power grids. To this end, this paper proposed a novel insight to form synergic operation of 5G network and distribution network with limited information. Firstly, the communication traffic condition of urban 5G network is estimated by applying crowd heatmaps derived from public database. Secondly, by integrating the dynamic sleeping strategy of 5G BSs considering spatial-temporally coupling characteristics, the urban 5G network operation optimization model is constructed to accurately capture operational flexibility. Thirdly, a novel synergic operation framework is formulated, which adopts the distribution location marginal price capable of sensitively reflecting the nodal differentiated operation requirements of the distribution network to spontaneously guide the orderly operation of 5G networks. Case studies validate the efficiency of the proposed method in leveraging the flexibility of urban 5G network to improve the economy and stability of the distribution network.
Suggested Citation
Hu, Weidong & Huang, Chunyi & Li, Kangping & Wang, Qi & Wang, Chengmin, 2026.
"Harnessing urban 5G base station mega-clusters for grid flexibility: A coordinated optimization framework,"
Applied Energy, Elsevier, vol. 409(C).
Handle:
RePEc:eee:appene:v:409:y:2026:i:c:s0306261926000565
DOI: 10.1016/j.apenergy.2026.127404
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
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:eee:appene:v:409:y:2026:i:c:s0306261926000565. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.