Abstract
Designing an efficient and effective maximum power point tracking (MPPT) method is a vital yet challenging task for modern large-scale variable speed wind power systems. In this paper, an improved control and extremum seeking strategy is proposed to construct a novel MPPT scheme, and the merit of this scheme is twofold. On the one hand, a nonlinear speed tracking controller is developed on the basis of the dynamic model of wind turbines, which cannot only track a desired rotor speed trajectory but also provide the extremum seeking module with estimation of the varying rotor torque. On the other hand, an extremum seeking module blended with lookup-table module is designed on the basis of a novel hill climbing searching method, which is more efficient because of its online updating structure and independence of the measurement of wind speed and output power. For simulation validation, a 10-MW direct driven wind turbine is used as a benchmark to test the proposed strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 623-637 |
| Number of pages | 15 |
| Journal | International Transactions on Electrical Energy Systems |
| Volume | 24 |
| Issue number | 5 |
| Early online date | 16 Apr 2014 |
| DOIs | |
| Publication status | Published - 1 May 2014 |
| Externally published | Yes |
Funding
This work was supported in part by the National Natural Science Foundation of China under Grant No. 51207007, the National Key Basic Research Program of China under Grant No. 2012CB215202, the Research Fund for the Doctoral Program of Higher Education of China under Grant No. 20120009120045, and the Fundamental Research Funds for the Central Universities under Grant No. 2012JBM014 and 2012YJS003.
Keywords
- extremum seeking
- HCS
- MPPT
- nonlinear controller
- wind energy