Bibliographische Detailangaben
| Titel: |
Two-Stage Dynamic Partitioning Strategy Based on Grid Structure Feature and Node Voltage Characteristics for Power Systems |
| Autoren: |
Lixia Sun, Xianxue Sha, Shuo Zhang, Jiahao Wang, Yiping Yu |
| Quelle: |
Energies, Vol 18, Iss 10, p 2544 (2025) |
| Verlagsinformationen: |
MDPI AG, 2025. |
| Publikationsjahr: |
2025 |
| Bestand: |
LCC:Technology |
| Schlagwörter: |
structure–function coupling, electrical coupling strength, node voltage correlation, two-stage partitioning, modularity, Technology |
| Beschreibung: |
To enhance the adaptability of grid partitioning under transient scenarios, this paper proposes a two-stage dynamic partitioning strategy based on structure–function coupling. Electrical coupling strength is first characterized using short-circuit impedance and the sensitivity between reactive power and voltage, while transient voltage correlation is incorporated through cosine similarity as edge weights in a graph model. Grid partitioning is then conducted by maximizing modularity through a staged approach that ensures network connectivity and automatically determines partition numbers. Case studies on the modified IEEE 39-bus system demonstrate that compared with transient voltage-based partitioning and conventional complex network methods, the proposed approach improves modularity by 69%, reduces the maximum post-fault voltage deviation by 38.6%, and achieves the highest regional decoupling rate. The result shows strong intra-regional cohesion and weak inter-regional connectivity, verifying the strategy’s effectiveness in enhancing adaptability and decoupling under transient conditions. |
| Publikationsart: |
article |
| Dateibeschreibung: |
electronic resource |
| Sprache: |
English |
| ISSN: |
1996-1073 |
| Relation: |
https://www.mdpi.com/1996-1073/18/10/2544; https://doaj.org/toc/1996-1073 |
| DOI: |
10.3390/en18102544 |
| Zugangs-URL: |
https://doaj.org/article/b2063645214c4fd982221c918034e9fb |
| Dokumentencode: |
edsdoj.b2063645214c4fd982221c918034e9fb |
| Datenbank: |
Directory of Open Access Journals |