基于遗传算法的多自由度波浪能装置浮体形状优化

Shape optimization of multi-degree-of-freedom wave energy converter using genetic algorithm

    摘要
  • 摘要:
      目的  为了对多自由度波浪能装置的浮体形状进行优化，提升能量转换效率，提出一种基于遗传算法的形状优化设计方法。
      方法  采用B样条曲面定义浮体形状，加入遗传算法，将外形曲面的所有控制点作为迭代种群中的个体变量，随后对迭代产生的每一个浮体形状使用AQWA和WEC-Sim建立时域数值模型，计算其目标函数值，统计每一代种群中的最优个体的目标函数值随迭代代数增大而变化的进化曲线，获得优化形状结果。研究不同形状定义方案和目标函数对优化结果的影响。
      结果  结果表明，这种优化方法能够显著提升多自由度波浪能装置的能量转换效率，形状定义方案和目标函数对优化结果影响都很大。
      结论  研究成果可为多自由度波浪能装置的浮体形状优化提供一种可行的设计方法。

     

    Abstract:
      Objective  In order to optimize the shape of the floating buoy of a multi-degree-of-freedom wave energy converter to improve its energy conversion efficiency, a method for shape optimization based on a genetic algorithm (GA) is proposed.
      Methods  A B-spline surface is used to define the shape of the floating buoy, and the GA is applied to take all control points of the surface as individual variables in the iterative population. AQWA and WEC-Sim software are then used to establish a time-domain numerical model for each shape generated by the iteration, and the value of the objective function is calculated. The evolution curves of the objective function and optimized shape are then obtained. The effects of different schemes of shape definition and objective functions on the optimization results are studied and analyzed respectively.
      Results  The optimization method can significantly improve the energy conversion efficiency of a multi-degree-of-freedoms (DOFs) wave energy converter, and the shape definition scheme and objective function have a great impact on the final optimization results.
      Conclusion  The results can provide a feasible design method for the shape optimization of the floating buoy of a multi-DOFs wave energy converter.

     

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