Wind Farm Power Forecasting

Nabiha Haouas,Pierre R Bertrand

doi:10.1155/2013/163565

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.

Highlights

The energy industry is one of the most important types of modern industries
We have processed ten-minute wind speed and ten-minute wind power production corresponding to a wind farm with four turbines
In order to carry out the overestimation of the mean wind farm power production, first, we take again

Summary

Introduction

The energy industry is one of the most important types of modern industries. In recent years, wind power has become increasingly popular as a renewable energy source that can both develop the economy and protect the environment. A more recent update can be found in [2] where they used two alternative numerical prediction models: an empirical one and a computational one, in order to forecast the power output of two Greek wind farms before their installation. Different models for monitoring and forecasting the turbine output are considered such as those in the studies by the authors of [3,4,5,6,7] or [8] and recently in [9].

Data Presentation

Wind Farm Power Forecasting

Discussion