Abstract
dc:description.abstractWind power predictions improve the technical and economical integration of large shares of wind energy into the existing electricity supply system. In this work the uncertainty related to short-term predictions of the power output of wind farms is investigated in detail where uncertainty refers to the interval in which deviations between predicted value and real value are likely to occur. The main idea is to assess the prediction uncertainty not only in terms of annual averages and for individual wind farms but to introduce a new situation dependent approach to the uncertainty and, in addition, to analyse the benefits of predicting the aggregated power output of regionally dispersed wind farms. As forecast errors are hardly avoidable this work presents a method of predicting the individual uncertainty of wind power forecasts under consideration of the specific meteorological situation.
Degree
thesis:*- Level thesis:degree_level
- thesis.doctoral
- Grantor dc:publisher
- Universität Oldenburg
- Year
- 2003
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lange, Matthias
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Repository record source_url
- http://oops.uni-oldenburg.de/233
- OAI identifier oai:identifier
- oai:oops.uni-oldenburg.de:233