Name
Abstract | ||
|---|---|---|
Wind energy is rapidly growing. While wind brings us clean and inexpensive energy, its inherent variability and uncertainty present challenges for the power grid. In particular, employing wind energy for power system restoration is very challenging. A fast and reliable restoration plays a vital role to achieve the self-healing power grid. This paper develops a novel offline restoration planning to... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSG.2017.2729592 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Wind power generation,Tools,Generators,Wind farms,Power system restoration,Optimization,Wind forecasting | Power system simulator for engineering,Control engineering,Software,Linear programming,Inertia,Engineering,Optimization problem,Grid,Wind power,Dynamic simulation | Journal |
Volume | Issue | ISSN |
10 | 1 | 1949-3053 |
Citations | PageRank | References |
2 | 0.37 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Golshani | 1 | 3 | 0.81 |
| Wei Sun | 2 | 72 | 29.00 |
| Qun Zhou | 3 | 4 | 1.51 |
| Qipeng P. Zheng | 4 | 42 | 9.61 |
| Yunhe Hou | 5 | 114 | 22.07 |