Characteristics Analysis of Wind Power Fluctuations for Large-scale Wind Farms

被引：0
|
作者：
Huang L. [1 ]
Song L. [2 ]
Zhou R. [2 ]
Li G. [1 ]
机构：
[1] School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu Province
[2] Public Meteorological Service Center of CMA, China Meteorological Administration, Haidian District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2017年 / 37卷 / 06期
关键词：
Fluctuation characteristics; Wind capacity credit factor; Wind capacity factor; Wind peak-valley factor; Wind power transmission;
D O I：
10.13334/j.0258-8013.pcsee.160120
中图分类号：
学科分类号：
摘要：
The fine data at 10min and 1km temporal and spatial resolutions, respectively, were used in the weather research and forecasting model assimilating synchronous 10min average wind-speed data from four masts and surrounding weather stations. The fluctuation characteristics of regional wind parameters were analyzed, using the wind capacity factor (CF), wind capacity credit factor (CCF), and wind peak-valley factor (PVF) and compared the differences in these parameters in three sizes of area. The major findings are as follows. 1) Increasing the area where the grid interconnection of wind farms yielded a good smoothing effect on the fluctuation characteristics of wind power, which is apparent as decreases in the hourly and monthly variations of CF, CCF, and PVF with increasing area. 2) Regional wind power had positive or opposite effects on the peak-load regulation of the receiving-end power grid, with varying effects with time and in different areas. 3) CCF involvement in balancing the electrical power load was equal to 9% and 5% in the study region with a guaranteed rate of 85% and 95%, respectively, and 29% during peak-load hours. These methods and results are valuable for planning of large-scale wind power transmission and relevant policy making. © 2017 Chin. Soc. for Elec. Eng.
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页码：1599 / 1609
页数：10
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