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摘要
In order to grasp the sea state of wind farms, based on the hourly average hourly time series of wind and wave in the Guangdong sea area from 2010 to 2019, the wind and wave conditions at five sites were used for long-term joint distribution fitting. The two-parameter Weibull distribution was used to fit the marginal distribution of the mean wind speed while the Lonowe model was used to represent the marginal distribution of the wave height. Based on the marginal distribution of the wave height, the wave period was then derived in combination with the conditional distribution of the wave period. The joint probability density distribution of mean wind speed, wave height and wave period was derived on the basis of the above distributions, and finally the contour surface of fifty-year recurrence period can be obtained by combining with Rosenblatt transformation. The wind and wave joint probability distribution model and its distribution contours developed in this paper provide environmental input parameters for the analysis of the power response of wind turbine structures under extreme sea conditions for wind farms in the Guangdong sea area, and provide effective guidance for the construction and evaluation of wind farms. ? 2022, Editorial Office of Ship Building of China. All right reserved.
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