基于差分进化的波浪能转换装置阵列优化

Array Optimization of Wave Energy Converters by Differential Evolution Algorithm

针对如何有效利用波浪辐射和散射以提升波浪发电系统效率的问题,提出采用差分进化算法对波浪能转换装置阵列进行优化排布。差分进化算法全局搜索能力强并且计算时间少;同时,差分进化算法在精度和收敛速度上没法两全且可能会陷入局部解,为了使优化结果更准确,引入了自适应变异算子的概念对差分进化算法进行改进,改进后的算法收敛速度相对较快而且结果准确度高。结合改进算法,分别针对不同浮子数目的阵列进行优化与对比分析。仿真结果表明,阵列规模越大,浮子之间的互补作用越大,波浪能转换装置的效率越高,这验证了所提阵列优化方案的有效性。

In order to use the wave radiation and scattering to enhance the efficiency for wave energy converts arrays,the differential evolution algorithm is used to optimize the wave energy conversion device.The algorithm has the merits of strong global search ability and less computation time.However,accuracy and convergence speed of the differential evolution algorithm cannot be satisfied simultaneously.Furthermore,the algorithm may easily fall into the local solution.In order to improve the accuracy of the optimization results,the concept of adaptive mutation operator is introduced to improve the adaptability of the difference evolution algorithm.The improved algorithm has relatively faster convergence speed and higher precision.Combined with the improved algorithm,arrays with different numbers of floats are compared and analyzed.Simulation results show that larger size of the array will make greater impacts on the floats and achieve higher efficiency of wave energy converters,which verifies the validity of the optimization method for wave energy convert arrays.