Name
Title | ||
|---|---|---|
Real-Time Assessment of Fault-Induced Delayed Voltage Recovery: A Probabilistic Self-Adaptive Data-driven Method |
Abstract | ||
|---|---|---|
Fault-induced delayed voltage recovery (FIDVR) events have become a critical threat to modern power systems with high-level inverter-interfaced renewable power generation. Aiming at the real-time assessment on FIDVR, this paper proposes a data-driven method using real-time bus voltage trajectory measurements. Based on ensemble learning and probabilistic prediction techniques, a self-adaptive decis... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSG.2018.2800711 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Real-time systems,Probabilistic logic,Decision making,Trajectory,Indexes,Power system stability,Predictive models | Data-driven,Voltage,Electric power system,Control engineering,Self adaptive,Probabilistic logic,Engineering,Ensemble learning,Trajectory,Salient | Journal |
Volume | Issue | ISSN |
10 | 3 | 1949-3053 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuchen Zhang | 1 | 8 | 6.51 |
| Xu Yan | 2 | 88 | 16.70 |
| Rui Zhang | 3 | 1107 | 145.40 |
| Pei Zhang | 4 | 214 | 30.25 |