Name
Abstract | ||
|---|---|---|
This paper proposes a novel wind power smoothing control paradigm in context of performance-based regulation service. Conventional methods aim at adjusting wind power output using hard-coded filtering algorithms that can result in visually smoothed power output with unmeasurable impacts on system generation-demand balance. Distinguished from conventional methods, the newly proposed control method smooths wind power output from a power system perspective by using the regulation mileage as a key performance indicator. To simultaneously address the system needs and maximize wind energy harvesting, a mileage-responsive framework is developed to enable wind farms to optimally generate smoothing power. The effectiveness of the proposed method is well demonstrated through case studies, of which the simulation results shows a great potential for practical applications. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIE.2019.2927188 | IEEE Transactions on Industrial Electronics |
Keywords | DocType | Volume |
Smoothing methods,Automatic generation control,Wind power generation,Optimization,Power smoothing,Wind energy,Rotors | Journal | 67 |
Issue | ISSN | Citations |
6 | 0278-0046 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue Lyu | 1 | 0 | 1.01 |
| Youwei Jia | 2 | 72 | 8.28 |
| Zhou Xu | 3 | 66 | 15.44 |
| Jacob Østergaard | 4 | 116 | 20.73 |