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RSS FeedsEnergies, Vol. 15, Pages 861: The Compound Inverse Rayleigh as an Extreme Wind Speed Distribution and Its Bayes Estimation (Energies)


25 january 2022 12:58:34

Energies, Vol. 15, Pages 861: The Compound Inverse Rayleigh as an Extreme Wind Speed Distribution and Its Bayes Estimation (Energies)

This paper proposes the Compound Inverse Rayleigh distribution as a proper model for the characterization of the probability distribution of extreme values of wind-speed. This topic is gaining interest in the field of renewable generation, from the viewpoint of assessing both wind power production and wind-tower mechanical reliability and safety. The first part of the paper illustrates such model starting from its origin as a generalization of the Inverse Rayleigh model by means of a continuous mixture generated by a Gamma distribution on the scale parameter, which gives rise to its name. Moreover, its validity for interpreting different field data is illustrated resorting to real wind speed data. Then, a novel Bayes approach for the estimation of such extreme wind-speed model is proposed. The method relies upon the assessment of prior information in a practical way, that should be easily available to system engineers. The results of a large set of numerical simulations—using typical values of wind-speed parameters—are reported to illustrate the efficiency and the accuracy of the proposed method. The validity of the approach is also verified in terms of its robustness with respect to significant differences compared to the assumed prior information.

124 viewsCategory: Biophysics, Biotechnology, Physics
Energies, Vol. 15, Pages 860: A Novel Hybrid Chaotic Jaya and Sequential Quadratic Programming Method for Robust Design of Power System Stabilizers and Static VAR Compensator (Energies)
Energies, Vol. 15, Pages 864: Experimental Flow Boiling Study of R245a at High Reduced Pressures in a Large Diameter Horizontal Tube (Energies)
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