comillas comillas

ES Instituto de Investigación Tecnológica IIT

español english browser default
Presentación Descripción Organización Personal Actividad Otros

Detalles de artículo en conferencia

Título: Stochastic unit commitment considering uncertain wind production in an isolated system
Autores: K. Dietrich , J.M. Latorre , L. Olmos , A. Ramos , I.J. Pérez-Arriaga
Palabras clave: Stochastic Unit Commitment, Wind prediction error, Renewable Energies
Líneas de investigación Programación de la Operación a Corto Plazo, Elaboración de Ofertas y Análisis de Reservas de Operación
Resumen: 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.
Referencia: 8th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Farms. Bremen (Alemania). 14-15 October 2009
Fecha de publicación: octubre 2009
Referencia interna del documento: IIT-09-072A
Descargar el artículo:



Google


 

Valid HTML 4.01 Transitional Valid CSS!

© Universidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería - ICAI, Instituto de Investigación Tecnológica
Dirección Postal: C/ Alberto Aguilera 23, 28015 Madrid, España
Sede SM26: C/ Santa Cruz de Marcenado 26, 28015 Madrid, España MAP
Sede FR3: C/ Francisco de Ricci 3, 28015 Madrid, España MAP
Información de contacto: Tel: +34 91 542-2800, Fax: +34 91 542-3176, email: info@iit.upcomillas.es
Locations of visitors to this page