Ocean wave renewable energy is fast becoming a key part of renewable energy industries over the recent decades. By developing wave energy converters as the main converter technology in this process, their power take-off (PTO) systems have been investigated. Adjusting PTO parameters is a challenging optimization problem because there is a complex and nonlinear relationship between these parameters and the absorbed power output. In this regard, this study aims to optimize the PTO system parameters of a point absorber wave energy converter in the wave scenario in Perth, on Western Australian coasts. The converter is numerically designed to oscillate against irregular and multi-dimensional waves and sensitivity analysis for PTO settings is performed. Then, to find the optimal PTO system parameters which lead to the highest power output, ten optimization algorithms are incorporated to solve the non-linear problem, Including Nelder-Mead search method, Active-set method, Sequential quadratic Programming method (SQP), Multi-Verse Optimizer (MVO), and six modified combination of Genetic, Surrogate and fminsearch algorithms. After a feasibility landscape analysis, the optimization outcome is carried out and gives us the best answer in terms of PTO system settings. Finally, the investigation shows that the modified combinations of Genetic, Surrogate, and fminsearch algorithms can outperform the others in the studied wave scenario, as well as the interaction between PTO system variables.

翻译：近几十年来, 海洋波的可再生能源正在迅速成为可再生能源产业的关键部分。 通过开发波能转换器作为这个过程中的主要转换器技术, 已经对波能转换器进行了调查。 调整波能转换器参数是一个具有挑战性的优化问题, 因为这些参数与吸收的电输出之间存在复杂和非线性的关系。 在这方面, 本研究旨在优化澳大利亚西部海岸珀斯的波景情景中点吸收器波能转换器的PTO系统参数。 该转换器在数字上设计成对非常规和多维的波变压和PTO设置的敏感度分析。 随后, 为了找到最优化的PTO系统参数, 导致最高电输出, 将十种优化算法纳入解决非线性问题。 包括 Nelder- Mead 搜索方法、 主动设定方法、 电序四压调能转换器( SQPP)、 多Verse Oppimizer (MVO) 和六种经修改的遗传学、 Surrategate and fmins commissional 等变量的组合分析, 最后, 将结果显示我们进行了翻版的翻版的翻版结果,, 并展示了我们的翻版的翻版的翻版的翻版的系统, 。