Comparison of Five Different Distributions based on Three Metaheuristics to Model Wind Speed Distribution

Abstract

Wind energy Modelling is crucial in studying any site's feasibility. Wind energy Modelling principally depends on wind speed distribution. Determining wind speed distribution is fundamentally based on the used distribution functions. This paper examines five different distributions to describe the wind speed pattern, such as T Location-Scale, Logistic, Extreme Value, and Rayleigh distributions. Besides, alternative optimization algorithms like Multi-Verse Optimizer, Marine Predators Algorithm, and Grey Wolf Optimization are applied to the predescribed distributions to determine the best parameters. Five error measures are investigated and compared to test the accuracy of the presented distributions and optimization methods. Catalca site in Istanbul, Turkey, is chosen for this analysis. The analyzed results verify the applicability of the proposed approach to characterize the wind speed pattern. It was observed from the experimental results that the Rayleigh distribution occupied the highest rank, whereas the Extreme Value distribution was the worst. Many invaluable conclusions are also discussed based on the results and deep investigations.