The Open Electrical & Electronic Engineering Journal

2014, 8 : 474-491
Published online 2014 December 31. DOI: 10.2174/1874129001408010474
Publisher ID: TOEEJ-8-474

The Prediction Model of Wind Facility Power Based On ARMA, Neural Network and Wavelet Transform

Feng Lei and Wang Yuanzhi
Linghu South Road, Anqing, China. Postcard: 246011.

ABSTRACT

For the sharp shortage of energy today, it is particularly important making full use of renewable resources-wind energy. An accurate prediction requires being made for the power of wind facility, in order to make the power dispatching department prearrange the wind power dispatching plan according to the change of the power, to ensure the safe operation of power grid and power balance. The establishment of a wind power prediction model cannot be only efficient and reasonable utilization of resources, but also can greatly reduce the adverse effect that wind power fluctuation will brings power balance and frequency on power grid regulation.

Keywords:

Wind Facility Power, ARMA, Neural Network, Wavelet Transform.