Abstract
In a grid connection wind power generation system, it is very important to predict the wind power generation capacity in scheduling the system and achieving low spinning reserve and optimal operating cost. The time series of wind power generating capacity are examined by nonlinear dynamical methods, in order to identify the chaos characteristics from its random-like waveform. Analysis of modeling with low dimension nonlinear dynamics indicates that the time series of wind power generation capacity have chaos characteristic, and that wind power-generating capacity can be predicted in a short time.
| Original language | English |
|---|---|
| Pages (from-to) | 1077-1080 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 27 |
| Issue number | 12 |
| Publication status | Published - Dec 2007 |
Keywords
- Chaos characteristics
- Power prediction
- Wind power generation