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《Proceedings of the CSEE》 2012-01
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Probability Density Function of Wind Power Variations

LIN Weixing1,WEN Jinyu1,AI Xiaomeng1,CHENG Shijie1,LEE Weijen2(1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology),Wuhan 430074,Hubei Province,China;2.Energy Systems Research Center,University of Texas,Arlington TX 76019,USA)  
Variations is an intrinsic property of wind power,but few common methods are reported that quantificationally define the variations.Based on the field measurement,it's found that t location-scale distribution is suitable to identify the probability distribution of wind power variations.Analysis shows that the minute-scale wind power is about 2% to 5% of the installed capacity.Summation of the outputs from different wind farms regional apart could effectively decrease the percentage of minute-scale wind power.The types of wind farms have a little influence on the percentage of minute-scale wind power,and the influence of the present total output is negligible.The t location-scale distribution is also capable to describe the probability distribution of variations of average wind power of adjacent time intervals.As the length of average time interval increases,the variations increase due to the decrease of the correlation between wind velocities.
【Fund】: 国家自然科学基金项目(50937002);; 国家重点基础研究发展计划项目(973项目)(2009CB219701)~~
【CateGory Index】: TM614
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