二參數(shù)Weibull分布在風能資源參數(shù)長年代訂正中的應用探討
發(fā)布時間：2019-05-10 05:42
【摘要】：選擇代表平原、丘陵和山區(qū)的6個氣象站分別作為參證站和訂正站,采用二參數(shù)Weibull分布法和線性回歸法進行30 a訂正效果檢驗,結果表明:短期資料進行風電場風能資源評估,誤差較大;二參數(shù)Weibull分布法適宜不同地形風能資源參數(shù)長年代平均訂正,年平均風功率密度的訂正效果更好;線性回歸法適宜于訂正站和參證站線性相關性較好的長年代平均訂正;使用2 a以上的觀測資料,訂正效果較1 a資料有所提高。
[Abstract]:Six meteorological stations representing plain, hilly and mountainous areas were selected as reference stations and revised stations, respectively. Two-parameter Weibull distribution method and linear regression method were used to test the effect of 30-year revision. The results showed that short-term data were used to evaluate wind energy resources of wind farms. The error is large; The two-parameter Weibull distribution method is suitable for the long-term mean correction of wind energy resource parameters in different terrain, and the annual average wind power density correction effect is better, and the linear regression method is suitable for the long-term average correction with good linear correlation between the revised station and the reference station. Using the observation data of more than 2 years, the effect of the revision is higher than that of the data of 1 year.
【作者單位】： 吉林省氣候中心;
【基金】：中國氣象局氣候變化專項(CCSF201232)
【分類號】：TM614
[Abstract]:Six meteorological stations representing plain, hilly and mountainous areas were selected as reference stations and revised stations, respectively. Two-parameter Weibull distribution method and linear regression method were used to test the effect of 30-year revision. The results showed that short-term data were used to evaluate wind energy resources of wind farms. The error is large; The two-parameter Weibull distribution method is suitable for the long-term mean correction of wind energy resource parameters in different terrain, and the annual average wind power density correction effect is better, and the linear regression method is suitable for the long-term average correction with good linear correlation between the revised station and the reference station. Using the observation data of more than 2 years, the effect of the revision is higher than that of the data of 1 year.
【作者單位】： 吉林省氣候中心;
【基金】：中國氣象局氣候變化專項(CCSF201232)
【分類號】：TM614
【參考文獻】
相關期刊論文 前8條
1 彭懷午;楊曉峰;馮長青;劉方銳;;基于鄰近測風塔的風電場長期風速估算[J];太陽能學報;2012年02期
2 于興杰;孫金丹;;風電場風資源代表年分析法[J];中國勘察設計;2012年01期
3 茹建輝;;關于水利工程風速統(tǒng)計方法的討論和建議[J];水利水運工程學報;2011年01期
4 杜燕軍;馮長青;;風電場代表年風速計算方法的分析[J];可再生能源;2010年01期
5 魏光輝;申蓮;何玉春;;雙參數(shù)威布爾分布函數(shù)在希尼爾水庫風速資料分析中的應用[J];沙漠與綠洲氣象;2008年06期
6 王有祿;沈檬;;風電場代表年風速系列計算方法的探討[J];電力勘測設計;2008年06期
7 楊維軍,王斌;二參數(shù)Weibull分布函數(shù)對近地層風速的擬合及應用[J];應用氣象學報;1999年01期
8 吳其R，
本文編號：2473385
本文鏈接：http://sikaile.net/kejilunwen/dianlilw/2473385.html
教材專著
