Wind and Structures

  • 제23권4호
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  • Pages.351-366
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  • 2016
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Mathematical modeling of wind power estimation using multiple parameter Weibull distribution

  • Chalamcharla, Seshaiah C.V. (Department of Mathematics, Sri Ramakrishna Engineering College) ;
  • Doraiswamy, Indhumathy D. (Department of Mathematics, Sri Ramakrishna Engineering College)
  • 투고 : 2015.12.04
  • 심사 : 2016.08.13
  • 발행 : 2016.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

Nowadays, wind energy is the most rapidly developing technology and energy source and it is reusable. Due to its cleanliness and reusability, there have been rapid developments made on transferring the wind energy systems to electric energy systems. Converting the wind energy to electrical energy can be done only with the wind turbines. So installing a wind turbine depends on the wind speed at that location. The expected wind power can be estimated using a perfect probability distribution. In this paper Weibull and Weibull distribution with multiple parameters has been used in deriving the mathematical expression for estimating the wind power. Statistically the parameters of Weibull and Weibull distribution are estimated using the maximum likelihood techniques. We derive a probability distribution for the power output of a wind turbine with given rated wind speeds for the regions where the wind speed histograms present a bimodal pdf and compute the first order moment of this distribution.

키워드

과제정보

연구 과제 주관 기관 : Sri Ramakrishna Engineering College

참고문헌

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피인용 문헌

  1. The new odd-burr rayleigh distribution for wind speed characterization vol.28, pp.6, 2019, https://doi.org/10.12989/was.2019.28.6.369
  2. Mathematical representation of Wind Turbine Power reliability vol.1921, pp.None, 2016, https://doi.org/10.1088/1742-6596/1921/1/012126