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Modeling tidal current speed using a Wakeby distribution
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DOI：10.1016/j.epsr.2015.06.014.png)
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Abstract
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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. (C) 2015 Elsevier B.V. All rights reserved.
Keywords:
Probabilistic model
Tidal current speed
Tidal power
Wakeby distribution
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