Frequency Distribution Model of Wind Speed Based on the Exponential Polynomial for Wind Farms
| Autor: | Fucai Qian, Jun Liu, Lingzhi Wang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Distribution (number theory)
020209 energy lcsh:TJ807-830 Geography Planning and Development lcsh:Renewable energy sources 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Exponential polynomial Wind speed exponential polynomial model 0202 electrical engineering electronic engineering information engineering Applied mathematics lcsh:Environmental sciences 0105 earth and related environmental sciences Weibull distribution Mathematics lcsh:GE1-350 Renewable Energy Sustainability and the Environment Rayleigh distribution lcsh:Environmental effects of industries and plants wind speed frequency distribution Contrast (statistics) Multimodal distribution wind farms linear-least-squares method lcsh:TD194-195 Log-normal distribution |
| Zdroj: | Sustainability, Vol 11, Iss 3, p 665 (2019) Sustainability Volume 11 Issue 3 |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su11030665 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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