NDLI: Wind power and photovoltaic prediction tools for balancing and grid operation

Content Provider	IEEE Xplore Digital Library
Author	Ernst, B. Reyer, F. Vanzetta, J.
Copyright Year	2009
Description	Author affiliation: RWE Transportnetz Strom GmbH, Germany (Ernst, B.; Reyer, F.; Vanzetta, J.)
Abstract	The integration of renewable energy sources (RES) 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 mainly wind power and photovoltaic (PV) generation. By the beginning of 2009 almost 24,000 MW of wind power and about 6,000 MW of PV were installed in Germany. To integrate these large amounts of fluctuating RES into the grid accurate prediction systems are necessarily. Although the prediction is mainly used for balancing, other issues like the forecast of congestion, network losses, and the possible need for reserve power are growing more and more in the interest of the transmission system operators (TSO). Because the German TSOs are responsible for balancing renewable power production (as required by law) RWE Transportnetz Strom GmbH (RWE TSO) collaborates with research institutes in several projects to increase the accuracy of the prediction systems. Modern wind power and PV prediction systems commonly use numerical weather prediction model (NWP) as input. In Germany most of the balancing is done on the day ahead market. Therefore the forecasting horizon of most systems is between 24 and 48 hrs. As the intra day market has recently been developed further a requirement for even shorter forecast horizons (1 – 8 hrs) is receiving more interest. To this end we at RWE TSO in conjunction with several research institutes are developing several so called nowcasting systems. For nowcasting not only weather data of numerical weather models are used but also actual measurements of weather and / or power data are taken into account.
Starting Page	1
Ending Page	9
File Size	4851055
Page Count	9
File Format	PDF
ISBN	9781424448609
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	CIGRE
Subject Keyword	Photovoltaic systems Grid Integration Balancing Wind Power Weather forecasting Predictive models Solar power generation Power system modeling Wind forecasting Forecasting Accuracy Photovoltaic Wind energy Economic forecasting Numerical models
Content Type	Text
Resource Type	Article

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