Abstract Tidal current energy is considered as one of the most important topics to be analyzed due to the penetration of renewable energy sources into the grid. The influence of unsteady wave is playing a crucial role on the tidal currents speed forecasting and its extracted power as well as its integration into the grid. The influence is not significant in case of single turbine or ducted tidal turbines. That is particularly important when taking in account the wave effect as a significant factor to predict the potential of tidal energy in various locations and evaluate the power losses due to severe weather condition. In this work we studied the influence of unsteady wave on the tidal current energy in case of two and three tidal turbines. The proposed work is validated by using more than one forecasting model based on ANN as well as making an interface with the Arduino (micro controller) using MATLAB/Simulink to calculate the power loss due to the wave effect during severe weather conditions. Results proves that using the wave height as an input for the forecasting models will improve the forecasted speed. Also, wave height will reduce the extracted output power and increase the power losses especially in case of multi turbines due to the increase of wave height.

中文翻译：

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非定常面波对潮流功率预测的影响

摘要 由于可再生能源进入电网，潮流能被认为是最重要的分析课题之一。非定常波的影响对潮流速度预测及其提取功率以及并入电网起着至关重要的作用。在单涡轮机或管道式潮汐涡轮机的情况下，影响不显着。当考虑波浪效应作为预测不同地点潮汐能潜力和评估由于恶劣天气条件造成的功率损失的重要因素时，这一点尤为重要。在这项工作中，我们研究了在两台和三台潮汐涡轮机的情况下非定常波对潮流能的影响。通过使用多个基于 ANN 的预测模型以及使用 MATLAB/Simulink 与 Arduino（微控制器）建立接口来计算恶劣天气条件下波浪效应引起的功率损耗，对所提出的工作进行了验证。结果证明，使用波高作为预测模型的输入将提高预测速度。此外，波高会降低提取的输出功率并增加功率损耗，尤其是在多涡轮机的情况下，由于波高的增加。