Time Series Model of Wind Power Forecasting Error by using Beta Distribution for Optimal Sizing of Battery Storage

Author:

Dui Xiaowei1,Ito Masakazu2,Fujimoto Yu2,Hayashi Yasuhiro2,Zhu Guiping1,Yao Liangzhong3

Affiliation:

1. Tsinghua University

2. Waseda University

3. China Electric Power Research Institute

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. (1) H. Holttinen, P. Meibom, A. Orths, B. Lange, M. O'Malley, J. O. Tande, A. Estanqueiro, E. Gomez, L. Söder, G. Strbac, J. C. Smith, and F. V. Hulle: “Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration”, Wind Energy, Vol. 14, No. 2, pp. 179-192 (2011-3)

2. (2) D. Lew, M. Milligan, G. Jordan, and R. Piwko: “The value of wind power forecasting”, Proc. of 91st American Meteorological Society Annual Meeting, pp. 1-10, Washington, DC, USA (2011-1)

3. (3) U. Focken, M. Lange, and H. Waldl: “Previento-a wind power prediction system with an innovative upscaling algorithm”, Proc. of European Wind Energy Conference, Vol. 276, pp. 1-4, Copenhagen, Denmark (2001-6)

4. (4) Y. Fujimoto, Y. Takahashi, and Y. Hayashi: “Alerting to Rare Large-Scale Ramp Events in Wind Power Generation”, IEEE Trans. Sustain. Energ., Vol. PP, No. 99, pp.-, (early access, 2018-4)

5. (5) M. Ito, Y. Fujimoto, M. Mitsuoka, H. Ishii, and Y. Hayashi: “Control Methods for an Energy Storage System when Power Output Deviate Grid Code”, J. Int. Counc. Elec. Eng., Vol. 7, No. 1, pp. 159-165 (2017-6)

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