基于SCADA数据海上风电场解析尾流模型可靠性与尾流叠加研究

Analytical wake model reliability and wake superposition analysis for offshore wind farm based on SCADA data

针对工程中常用的解析尾流模型适用性及精确度存在较大不确定性的问题,文章利用国内某海上风电场运行的SCADA数据,分别对Jensen模型、Frandsen模型和Gaussian模型等主要解析尾流模型进行可靠性验证和分析。在此基础上,提出了更加适用的尾流模型参数选取方案,参数修正后的Gaussian尾流模型的评估精度提升约50%。此外,为了分析海上风电场的尾流叠加特性,文章采用场内实测数据进行分析,并与工程尾流叠加模型计算结果进行对比,结果表明,工程尾流叠加模型仍存在一定改善空间。

Targeted at the large uncertainty in the applicability and accuracy of the analytical wake models commonly used in engineering,the reliability of several models such as the Jensen model,the Frandsen model,and the Gaussian model are analyzed and verified by using the SCADA data of a domestic offshore wind farm.On this basis,the parameter selection scheme more suitable for the selected wind farm is proposed,and the result shows the accuracy of the Gaussian wake model is improved by about 50%.Moreover,to obtain the wake superposition characteristics in the selected wind farm,the measured data are analyzed and then compared with simulation results of the engineering wake superposition models.The comparative result shows the engineering wake superposition models need to be further improved.The research results can provide reference for micro-siting,wind energy estimation and operation optimization of offshore wind farms.