Quantifying smoothing effects of wind power via Koopman mode decomposition: A numerical test with wind speed predictions in Japan
Author:
Affiliation:
1. Department of Electrical Engineering, Kyoto University
2. Department of Electrical and Information Systems, Osaka Prefecture University
3. Hydrospheric-Atmospheric Research Center, Nagoya University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine
Link
https://www.jstage.jst.go.jp/article/nolta/8/4/8_342/_pdf
Reference28 articles.
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2. [2] H. Louie, “Correlation and statistical characteristics of aggregate wind power in large transcontinental systems,” Wind Energy, vol. 17, no. 6, pp. 793-810, 2014.
3. [3] J. Manwell, J. McGowan, and A. Rogers, Wind Energy Explained: Theory, Design and Application, Wiley, 2009.
4. [4] G. McNerney and R. Richardson, “The statistical smoothing of power delivered to utilities by multiple wind turbines,” IEEE Transactions on Energy Conversion, vol. 7, no. 4, pp. 644-647, 1992.
5. [5] H.G. Beyer, J. Luther, and R. Steinberger-Willms, “Power fluctuations in spatially dispersed wind turbine systems,” Solar Energy, vol. 50, no. 4, pp. 297-305, 1993.
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