Frequency Distribution Model of Wind Speed Based on the Exponential Polynomial for Wind Farms

Lingzhi Wang, Jun Liu and Fucai Qian
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Lingzhi Wang: School of Automation, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
Jun Liu: School of Automation and Information, Xi’an University of Technology, Xi’an 710048, China
Fucai Qian: School of Automation and Information, Xi’an University of Technology, Xi’an 710048, China

Sustainability, 2019, vol. 11, issue 3, 1-13

Abstract: This study introduces and analyses existing models of wind speed frequency distribution in wind farms, such as the Weibull distribution model, the Rayleigh distribution model, and the lognormal distribution model. Inspired by the shortcomings of these models, we propose a distribution model based on an exponential polynomial, which can describe the actual wind speed frequency distribution. The fitting error of other common distribution models is too large at zero or low wind speeds. The proposed model can solve this problem. The exponential polynomial distribution model can fit multimodal distribution wind speed data as well as unimodal distribution wind speed data. We used the linear-least-squares method to acquire the parameters for the distribution model. Finally, we carried out contrast simulation experiments to validate the effectiveness and advantages of the proposed distribution model.

Keywords: wind farms; wind speed frequency distribution; exponential polynomial model; linear-least-squares method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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