Bibliographic Details
| Title: |
A power grid partitioning method based on complex network coupling matrices |
| Authors: |
XIONG Jun, TANG Fan, CHEN Zeming, WANG Yimiao, MEI Tao |
| Source: |
Zhejiang dianli, Vol 44, Iss 2, Pp 84-94 (2025) |
| Publisher Information: |
zhejiang electric power, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
grid partitioning, complex network, local expansion method, reactive power-voltage sensitivity, dual quantification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
To scientifically and effectively determine the layout of stability control systems， accurately identify partition interfaces， and enhance the operational security of large-scale power grids， this paper proposes a power grid partitioning method based on complex network coupling matrices. First， a complex network coupling matrix is constructed using grid power flow and reactive power-voltage sensitivity to represent active operation and voltage control features for dual-weight quantification of active and reactive power. Next， quality evaluation metrics for grid partitioning are developed to quantify partition structure strength， source-load matching， and voltage regulation effects， forming a structural and functional evaluation framework for grid partitioning. Finally， considering the grid’s operational characteristics and topological features， the local expansion method of complex network theory is adaptively improved to achieve non-overlapping optimal grid partitioning. Case analysis validates the superiority and accuracy of the proposed method. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
Chinese |
| ISSN: |
1007-1881 |
| Relation: |
https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=49745cac-db66-46f8-8f50-65ead26f8c28; https://doaj.org/toc/1007-1881 |
| DOI: |
10.19585/j.zjdl.202502008 |
| Access URL: |
https://doaj.org/article/c98acbc241414f18b99ca70d87201d7d |
| Accession Number: |
edsdoj.98acbc241414f18b99ca70d87201d7d |
| Database: |
Directory of Open Access Journals |
