DocumentCode :
3092000
Title :
Improvement of the Power System Reliability by Prediction of Wind Power Generation
Author :
Rohrig, Kurt ; Lange, Bernhard
Author_Institution :
Head of R&D Div. Inf. & Energy Econ., Inst. fur Solare Energieversorgungstech., Kassel
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
The integration of wind farms into the electricity grid has become an important challenge for the utilization and control of electric power systems, because of the fluctuating and intermittent behaviour of wind power generation. Wind power predictions improve the economical and technical integration of large capacities of wind energy into the existing electricity grid. Trading, balancing, grid operation and safety increase the importance of forecasting electrical outputs from wind farms. Thus wind power forecast systems have to be integrated into the control room of the transmission system operator (TSO). Very high requirements of reliability and safety make this integration especially challenging. The pooling of several large offshore wind farms into clusters in the GW range will make new options feasible for an optimized integration of wind power. The geographically distributed onshore wind farms will be aggregated to clusters, for the purpose of operating these wind farms as one large (virtual) wind power plant. For this purpose, a new structure, the wind farm cluster will be introduced. All wind farms, which are directly or indirectly connected to one transmission network node will be associated to one wind farm cluster. The wind farm cluster manager (WCM) assists the TSO by operating the cluster according to the requirements of the power transmission system. Non-controllable wind farms within a wind farm cluster are supported by controllable ones.
Keywords :
power generation control; power generation reliability; power grids; wind power plants; electric power systems control; electrical forecasting; electricity grid; geographically onshore wind farms; offshore wind farms; power system reliability; power transmission system; transmission network node; transmission system operator; wind farm cluster manager; wind farms; wind power generation prediction; Control systems; Economic forecasting; Power grids; Power system control; Power system reliability; Power systems; Wind energy; Wind farms; Wind forecasting; Wind power generation; Distributed generation; design; forecasting; modelling; optimisation; renewable energy; system services; wind farm operation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385456
Filename :
4275338
Link To Document :
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