Abstract
Considerable interest in tidal power is being driven by the global push for renewable energy. The first step in modeling tidal energy sources in power systems analysis is to determine an appropriate probability distribution for tidal current. This paper proposes a Wakeby distribution to model the probabilistic characteristics of tidal current speed. The Wakeby distribution and nine other popular distributions are investigated using four years of tidal current speed data at ten different sites. Comparisons are conducted using the Kolmogorov–Smirnov test (K–S test) and the root-mean-square error (RMSE) index for both posteriori and priori tests. The results verified that the Wakeby distribution not only has the best statistical performance but also is the only one of the ten selected distributions that passed the K–S test.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
