Affiliation:
1. Departamento de Ingeniería Eléctrica. Universidad Carlos III de Madrid. Av. de la Universidad 30. 28911 Leganes - Madrid. Spain Tel: +34916249404. Fax: +34916249430
2. Red Eléctrica de España. P° del Conde de los Gaitanes 177, 28109 Alcobendas-Madrid. Spain
Abstract
One of the characteristics of wind energy, from the grid point of view, is its non-dispatchability, i.e. generation cannot be ordered, hence integration in electrical networks may be difficult. Short-term wind power prediction-tools could make this integration easier, either by their use by the grid System Operator, or by promoting the participation of wind farms in the electricity markets and using prediction tools to make their bids in the market. In this paper, the importance of a short-term wind power-prediction tool for the participation of wind energy systems in electricity markets is studied. Simulations, according to the current Spanish market rules, have been performed to the production of different wind farms, with different degrees of accuracy in the prediction tool. It may be concluded that income from participation in electricity markets is increased using a short-term wind power prediction-tool of average accuracy. This both marginally increases income and also reduces the impact on system operation with the improved forecasts.
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Cited by
22 articles.
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