Array Optimization of Wave Energy Converters by Differential Evolution Algorithm
Fang Hongwei1, Song Runan1, Feng Yuzhu1, Chen Ziwei2
1. School of Electrical and Information Engineering Tianjin University Tianjin 300072 China; 2. State Grid Tianjin Power Maintenance Company Tianjin 300010 China
Abstract：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.
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2019, Vol. 34 
