We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于混合半云模型的风速-功率曲线建模方法.
- Authors
杨茂; 张罗宾; 崔杨; 杨琼琼; 黄宾阳
- Abstract
Accurate wind speed-power curve modeling is one of the key basics for situation assessment of wind turbine output and wind power forecasting. Considering the uncertainty of wind power mapping relationship and the distribution pattern of power curve,a modeling strategy based on HHC(Hybrid Half-Cloud model) is proposed for mining and modeling of the inherent and random distribution characteristics of wind power data. The OSCE(Optimal Segmentation Cloud Entropy) algorithm is introduced to eliminate the abnormal data quickly and effectively. The backward cloud generator is adopted to obtain the digital characteristics of expectation,entropy and hyper-entropy for quantify the uncertainty of wind speed-power relationship,and a semi-cloud model of waist data is constructed. The power cloud droplets of waist and upper data are calculated by X condition cloud generator and forward cloud generator respectively,and the transformation from the qualitative features to quantitative data is realized. Taking the measured data of a large scale wind farm in Northeast China as an example,HHC is analyzed from the perspectives of data quality, frequency distribution and wind power forecasting,which verifies the feasibility of the proposed method.
- Publication
Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2020, Vol 40, Issue 5, p106
- ISSN
1006-6047
- Publication type
Article
- DOI
10.16081/j.epae.202005004