Wind Energy has become the renewable energy with the highest installed capacity in some European countries mainly due to its advanced technology and to existing political incentives. In countries like Spain, installed wind capacity amounts to 17% of total installed power capacity as of today. As power produced from wind grows, difficulties created by its intermittency nature (namely, the difficulty to predict wind generation output with enough accuracy and its volatility) make the operation of the system more difficult. Stochastic programming has been proposed as an adequate way to handle this uncertainty. In this article, the unit commitment problem is modelled taking into account the stochastic nature of wind production. The model is applied to the isolated power system of Gran Canaria island. We have analyzed the impact of increasing installed wind capacity and the value of having to deal with the uncertainty associated with wind in this power system.
Keywords: Stochastic Unit Commitment, Wind prediction error, Renewable Energies
4th Conference on Energy Economics and Technology - ENERDAY. Dresden, Germany. 3 April 2009
Published: April 2009.