Wind energy potential assessment based on wind speed, its direction and power data.

ABSTRACT: Based on wind speed, direction and power data, an assessment method of wind energy potential using finite mixture statistical distributions is proposed. Considering the correlation existing and the effect between wind speed and direction, the angular-linear modeling approach is adopted to construct the joint probability density function of wind speed and direction. For modeling the distribution of wind power density and estimating model parameters of null or low wind speed and multimodal wind speed data, based on expectation-maximization algorithm, a two-component three-parameter Weibull mixture distribution is chosen as wind speed model, and a von Mises mixture distribution with nine components and six components are selected as the models of wind direction and the correlation circular va

SUBMITTER: Wang Z 

PROVIDER: S-EPMC8377008 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature