Author
Listed:
- Manlu Chen
(Power Dispatching Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510600, China)
- Runquan He
(Maoming Power Supply Bureau, Guangdong Power Grid Co., Ltd., Maoming 525000, China)
- Junan Chen
(Maoming Power Supply Bureau, Guangdong Power Grid Co., Ltd., Maoming 525000, China)
- Fei Chen
(Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)
Abstract
In order to realize the overall economic operation of the power equipment network, this manuscript proposes a hybrid algorithm based on Genetic Algorithm and Satin Bowerbird Optimizer, which is used for coordinated operation between the grids of power equipment networks. Firstly, a power grid architecture with a main-distribution coordination is constructed to ensure that the synergy between the main network and the distribution network is met. Secondly, the division of grids is introduced and a hybrid algorithm is proposed for the coordinated operation between grids. Finally, two microgrids in a region are analyzed as examples. The results show that the proposed method reduces the total system cost by 40.1% and cuts carbon emissions by 53.5% compared to independent grid operation. Additionally, the hybrid algorithm converges efficiently within 24 iterations, demonstrating strong global and local optimization capabilities. This approach significantly improves the flexibility, stability, and economic efficiency of power system operation while supporting sustainable development goals.
Suggested Citation
Manlu Chen & Runquan He & Junan Chen & Fei Chen, 2025.
"Cooperative and Integrated Operation of the Power Equipment Network Based on Main-Distribution Coordination,"
Energies, MDPI, vol. 18(18), pages 1-15, September.
Handle:
RePEc:gam:jeners:v:18:y:2025:i:18:p:4829-:d:1747099
Download full text from publisher
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:18:y:2025:i:18:p:4829-:d:1747099. 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: 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.