A Survey of Wind Power Ramp Forecasting

Tinghui Ouyang, Xiaoming Zha, Liang Qin

School of Electrical Engineering, Wuhan University, Wuhan, China.

DOI: 10.4236/epe.2013.54B071                

Abstract

At home and broad, more wind power is being installed in electricity markets, the influence brought by wind power become more important on power system stability, especially the fluctuation, the uncertainty in wind power production and multi-time scale of the wind. In order to forecast ramp events before the power system encountering failure, so that the operator can adopt some limited controlling strategy. This paper introduces the present status of the wind power ramp prediction at home and abroad. And it gives out four kinds of definitions of ramp events, which are used by many scholars, then provides various forecasting error algorithm. In the aspect of prediction models, it comes up with physical models and statistical models, and enumerates various examples of different models. Finally, it prospects the tendency of the model improvement about the wind power ramp events forecasting, which would be significant for ramp research.

Keywords

Ramp Events; Forecasting; Physical Models; Statistical Models

Conflicts of Interest

The authors declare no conflicts of interest.

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