Abstract
Simulation is carried out to research the key influencing factors of wind turbine power output characteristics, such as turbulence intensity, air density, yaw error, and also the inner implicit relationship with the power curve, to establish the implicit relationship sub-model, and realize the construction of the wind turbine operating power curve based on the correlation vector information entropy technology and operation data. Comparison of annual energy production is carried between the constructed power curve and the actual output, which shows that construction method based on the correlation vector information entropy can realize the true evaluation of the operating power output characteristics of wind turbine, meanwhile the evaluation error is less than 2%.
| Translated title of the contribution | Wind turbine power curve construction based on correlation vector information entropy |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 252-259 |
| Number of pages | 8 |
| Journal | Taiyangneng Xuebao/Acta Energiae Solaris Sinica |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 28 May 2022 |
