Ocean renewable energy, particularly wave energy, has emerged as a pivotal component for diversifying the global energy portfolio, reducing dependence on fossil fuels, and mitigating climate change impacts. This study delves into the optimization of power take-off (PTO) parameters and the site selection process for an offshore oscillating surge wave energy converter (OSWEC). However, the intrinsic dynamics of these interactions, coupled with the multi-modal nature of the optimization landscape, make this a daunting challenge. Addressing this, we introduce the novel Hill Climb - Explorative Gray Wolf Optimizer (HC-EGWO). This new methodology blends a local search method with a global optimizer, incorporating dynamic control over exploration and exploitation rates. This balance paves the way for an enhanced exploration of the solution space, ensuring the identification of superior-quality solutions. Further anchoring our approach, a feasibility landscape analysis based on linear water wave theory assumptions and the flap's maximum angular motion is conducted. This ensures the optimized OSWEC consistently operates within safety and efficiency parameters. Our findings hold significant promise for the development of more streamlined OSWEC power take-off systems. They provide insights for selecting the prime offshore site, optimizing power output, and bolstering the overall adoption of ocean renewable energy sources. Impressively, by employing the HC-EGWO method, we achieved an upswing of up to 3.31% in power output compared to other methods. This substantial increment underscores the efficacy of our proposed optimization approach. Conclusively, the outcomes offer invaluable knowledge for deploying OSWECs in the South Caspian Sea, where unique environmental conditions intersect with considerable energy potential.

翻译：海洋可再生能源，特别是波能，已成为多元化全球能源结构、减少化石燃料依赖及缓解气候变化影响的关键环节。本研究深入探索了离岸振荡涌浪波能转换器（OSWEC）的能量提取（PTO）参数优化与选址流程。然而，这些相互作用的固有动力学特性，加之优化景观的多模态特征，构成了严峻挑战。为应对此问题，我们提出了新型爬山-探索性灰狼优化器（HC-EGWO）。该方法融合局部搜索与全局优化策略，引入对探索与开发速率的动态控制。这种平衡为实现解空间的高效探索铺平了道路，确保识别出更优质量的解。此外，基于线性水波理论假设与桨叶最大角运动，我们进行了可行性景观分析，以进一步巩固方法基础，确保优化后的OSWEC始终在安全与效率参数范围内运行。研究结果为开发更简化的OSWEC能量提取系统提供了显著前景，并为选择最佳离岸站点、优化功率输出及推动海洋可再生能源全面应用提供了见解。值得关注的是，采用HC-EGWO方法后，与其他方法相比，功率输出提升高达3.31%。这一显著增幅充分证明了所提优化方法的有效性。最终，研究成果为在里海南部（其独特环境条件与巨大能源潜力相交汇）部署OSWEC提供了宝贵知识。