基于遗传算法的竖轴变攻角潮流能水轮机性能优化研究

Genetic algorithm based optimization of a vertical variable pitch turbine for tidal current energy conversion

为了提高竖轴变攻角潮流能水轮机能量利用率,建立了该类水轮机在不同工况下的数学优化模型,以直叶片摆线式水轮机为原型应用遗传算法结合计算水轮机水动力的流管模型进行优化求解,给出了优化后叶轮能量利用率系数、叶片攻角和偏角随位置角的变化规律,并据此分析了该类轮机流体动力性能改变的规律及其原因。计算结果表明遗传算法是解决这类问题的有效方法.

To enhance the power coefficient of a vertical-axis variable pitch turbine that uses tidal current energy,an optimization method was developed as well as its corresponding mathematical model based on a genetic algorithm and the stream-tube method.After building a prototype of the proposed vertical-axis cycloidal turbine,optimal results were determined through analysis,yielding a power coefficient and the relationships between attack angle and azimuth angle.This explained the improved performance of this kind of turbine.The results verified that a genetic algorithm was the most effective method available to solve this type of problem.