DocumentCode :
3476724
Title :
The impact of wind forecasting in power system reliability
Author :
Zhang, Yutong ; Chan, Ka Wing
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
2781
Lastpage :
2785
Abstract :
With increasing wind generation into the existing power system, research into the impact in system reliability with significant wind penetration has become a vital challenge. Wind is perfect to deal with energy security and environment concerns, but its variability and average predictability may cause operation and reliability problems, which need more actions and better services. A robust tool for wind power forecasting will improve the wind power integration in both economic and technical aspects. This paper evaluates the techniques for wind power forecast, and proposes a practical short term wind power prediction modeling with ARMA model. Furthermore, the expected impacts for wind power forecasting with improved accuracy are specified and analyzed. Preliminary results illustrate that larger amount of wind energy on the grid and optimized integration of wind power need to be supported by using more accurate wind forecasting tools.
Keywords :
autoregressive moving average processes; power system reliability; statistical analysis; wind power; wind power plants; ARMA model; autoregressive moving average process; power system reliability; statistical analysis; wind generation; wind power forecasting; wind power prediction modeling; Economic forecasting; Power generation; Power system reliability; Power system security; Predictive models; Robustness; Wind energy; Wind energy generation; Wind forecasting; Wind power generation; forecasting; optimization; reliability; statistical model; wind generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523883
Filename :
4523883
Link To Document :
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