Name
Abstract | ||
|---|---|---|
In this study, a graph-computing based grid splitting detection algorithm is proposed for contingency analysis in a graph-based EMS (Energy Management System). The graph model of a power system is established by storing its bus-branch information into the corresponding vertex objects and edge objects of the graph database. Numerical comparison to an up-to-date serial computing algorithm is also investigated. Online tests on a real power system of China State Grid with 2752 buses and 3290 branches show that a 6 times speedup can be achieved, which lays a good foundation for advanced contingency analysis. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ISGT-Asia.2019.8880879 | IEEE Innovative Smart Grid Technologies-Asia |
DocType | Volume | Citations |
Journal | abs/1904.03587 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongli Zhu | 1 | 1 | 1.79 |
| Lingpeng Shi | 2 | 0 | 0.34 |
| Renchang Dai | 3 | 0 | 2.03 |
| Guangyi Liu | 4 | 223 | 36.37 |