Wind Farm Power Forecasting

Author:

Haouas Nabiha12ORCID,Bertrand Pierre R.1

Affiliation:

1. Laboratoire de Mathématiques (UMR CNRS 6620), Université Blaise Pascal (Clermont-Ferrand II), 63177 Aubière Cedex, France

2. Computational Mathematics Laboratory, Monastir, Tunisia

Abstract

Forecasting annual wind power production is useful for the energy industry. Until recently, attention has only been paid to the mean annual wind power energy and statistical uncertainties on this forecasting. Recently, Bensoussan et al. (2012) have pointed that the annual wind power produced by one wind turbine is a Gaussian random variable under a reasonable set of assumptions. Moreover, they can derive both mean and quantiles of annual wind power produced by one wind turbine. The novelty of this work is the obtainment of similar results for estimating the annual wind farm power production. Eventually, we study the relationship between the power production for each turbine of the farm in order to avoid interaction between them.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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