Near-Surface Wind Speed Fluctuation and its Impact on Wind Power in Jiuquan

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Abstract:

With the use of representative observed wind speed data for a whole year in Jiuquan field in Gansu province of Hexi Corridor ,we analysed the characteristics of ten-minutes wind speed, diurnal wind speed, monthly wind speed variation , as well as the influence of the wind power change rate in different time periods and diurnal variation in four seasons. Studies have shown that ten-minutes short-term wind turbulence characteristics was more obvious, with some randomness , but mainly exhibited typical diurnal characteristics of variation. In addition to mean state of wind conditions, there were sustained gale, short-term gale, continued small wind, regular small wind appeared. Monthly variation of wind speed is characterized by the "three peaks and three valleys" , showing the regular change that wind speed was larger in spring and summer , and it was smaller in autumn and winter. Daily fluctuation of wind electricity generation in four seasons presented similar trends, it was a peak-valley feature, valley generally appeared between 9-11 a.m., the peak occurred between 5-7 p.m..Wind power got larger between 1 and 11 p.m., this period was the peak electricity needed, wind power added can significantly ease the power grid pressure and will has significant positive effect for the power grid control. Ten-minute power variation was relatively stable, with the time interval increased, variation in electricity generation of one day rate increased gradually.

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Advanced Materials Research (Volumes 953-954)

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478-485

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Heng Xue, Ruizhao Zhu, Zhenbin Yang, etc. Assessment of wind energy reserves in China[J]. Acta Energiae Solaris Sinica. 2001, 22(2): 167-170.

Google Scholar

[2] Globe Wind Energy Council (GWEC). World Wind Report 2010 [R]. (2011).

Google Scholar

[3] Shien He, Xinzhou Dong . Cause analysis on large-scale wind turbine tripping and its counter measures[J]. Power System Protection and Control. 2012, 40 (1): 131-137.

Google Scholar

[4] Jun Liu , Shien He. Strong and smart grid boosts Jiuquan wind power base development[J]. Power System Protection and Control, 2010, 38(21): 19-23.

Google Scholar

[5] Xiaoyan Xu, Wen-hui Shi, Yan-chun Li, etc. Impacts of wind farm central integration on local power grids[J]. Electric Power. 2010, 12(1): 93-97.

Google Scholar

[6] Yong-ning Chi, Yan-hua Liu, Wei-sheng Wang. Study on Impact of Wind Power Integration on Power System[J]. Power System Technology. 2007, 31(3): 77-81.

Google Scholar

[7] Shuguang Song. Study on Wind Power Fluctuation Profile and Coordination Strategy of Wind Power and Energy Storage[D]. Shan Dong University.

Google Scholar

[8] Chuangying Xiao, Ningbo Wang, Kun Ding, etc. System Power Regulation Scheme for Jiuquan Wind Power Base[J]. Proceedings of the CSEE. 2010, 30(10): 1-7.

Google Scholar

[9] Yang Cui. Studies on the Coordination of Large Scale Wind Generation and the Incorporated Power Grid[D], North China Electric Power University.

Google Scholar

[10] Alberto Troccoli, Karl Muller. Long-Term Wind Speed Trends over Australia[J]. Journal of Climate. 2012, 25: 170-183.

DOI: 10.1175/2011jcli4198.1

Google Scholar