Name
Title | ||
|---|---|---|
Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy. |
Abstract | ||
|---|---|---|
Randomness from the power load demand and renewable generations causes frequency oscillations among interconnected power systems. Due to the requirement of synchronism of the whole grid, load frequency control (LFC) has become one of the essential challenges for power system stability and security. In this paper, by modeling the disturbances and parameter uncertainties into the LFC model, we propo... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIE.2017.2694396 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Frequency control,Power system stability,Load modeling,Uncertain systems,Adaptation models,Uncertainty | Particle swarm optimization,Dynamic programming,Control theory,Control theory,Electric power system,Control engineering,Automatic frequency control,Engineering,Synchronism,Adaptive learning,Sliding mode control | Journal |
Volume | Issue | ISSN |
64 | 8 | 0278-0046 |
Citations | PageRank | References |
5 | 0.40 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaoxu Mu | 1 | 271 | 18.80 |
| Yufei Tang | 2 | 203 | 22.83 |
| Haibo He | 3 | 3653 | 213.96 |