DocumentCode
2676729
Title
Application of wind power prediction tools for power system operations
Author
Rohrig, Kurt ; Lange, Bernhard
Author_Institution
Institut fur Solare Enegieversorgungstecknik, Kassel
fYear
0
fDate
0-0 0
Abstract
The wide use of wind energy in Germany results in a lot of new power system operation problems corresponding especially to the stochastic character of the wind speed and to the not controllable production of energy. The significant amount of installed wind power in the German power system (currently more than 17 GW) make the traditional scheduling of the power generation for the next day very unsure. Consequently the costs of the power system operation are high because of a large scale provision of spinning reserve power coming from the traditional power plants. The decisive rule in the decreasing of these costs plays the exactness of the wind energy transformation modelling process which starts with the forecast of wind speed. In Germany since more than ten years the knowledge how to solve this problem is available. Based on more than 100 representative wind farm power measurements all over Germany very exact models for the determination of the current and expected wind power are developed. The models are in operation at the control stations of the Transmission System Operators
Keywords
power generation scheduling; power measurement; wind power; wind power plants; Germany; Germany power system; Transmission System Operators; power generation scheduling; power system operations; spinning reserve power; stochastic character; wind energy; wind farm power measurements; wind power prediction tools; wind speed forecasting; Control systems; Costs; Power system modeling; Power systems; Production systems; Stochastic systems; Wind energy; Wind energy generation; Wind power generation; Wind speed; Distributed generation; design; forecasting; modelling; optimisation; renewable energy; system services; wind farm operation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0493-2
Type
conf
DOI
10.1109/PES.2006.1709159
Filename
1709159
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