Generating wind power time series based on its persistence and variation characteristics-Reference-Cited by-同舟云学术

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Generating wind power time series based on its persistence and variation characteristics

Published:2014-12 Issue:12 Volume:57 Page:2475-2486
ISSN:1674-7321
Container-title:Science China Technological Sciences
language:en
Short-container-title:Sci. China Technol. Sci.

Author:

Li JingHua,Li JiaMing,Wen JinYu,Cheng ShiJie,Xie HaiLian,Yue ChengYan

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

http://link.springer.com/content/pdf/10.1007/s11431-014-5720-0.pdf

Reference29 articles.

1. Liu J Z, Liu Y, Zeng D L, et al. Optimal short-term load dispatch strategy in wind farm. Sci China Tech Sci, 2012, 55: 1140–1145

2. Miao W W, Jia H J, Wang D, et al. Active power regulation of wind power systems through demand response. Sci China Tech Sci, 2012, 55: 1667–1676

3. Abbey C and Joós G. A stochastic optimization approach to rating of energy storage systems in wind-diesel isolated grids. IEEE Trans Power Syst, 2009, 24: 418–426

4. García-González J, de la Muela R M R, Santos L M, et al. Stochastic joint optimization of wind generation and pumped-storage units in an electricity market. IEEE Trans Power Syst, 2008, 23: 460–468

5. Billinton R, Wangdee W. Reliability-based transmission reinforcement planning associated with large-scale wind farms. IEEE Trans Power Syst, 2007, 22: 34–41

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