【摘要】 水轮机调速器是保证水电站机组稳定运行和电能质量的控制设备 ,如何选取水轮机调速器的最优参数 ,是影响到调节系统质量和电能质量的一个重要的问题。针对当前使用遗传算法优化水轮机调速器参数存在寻优效率不高的问题 ,提出了一种用免疫遗传算法优化水轮机调速器参数的新方法。通过借鉴生物体免疫系统中的回忆应答和人工主动免疫的原理 ,减少遗传算法中的退化现象 ,提高寻优效率和适应性。将新算法应用于某水轮机仿真 ,仿真结果表明 ,免疫遗传算法不依赖于参数的初值 ,寻优效率较典型遗传算法有明显提高 ,具有很强的鲁棒性和适应性更多还原

【Abstract】 Hydroturbine governor is an equipment that ensures the stable run of hydroturbine and the quality of power. How to select parameters of hydroturbine governor is an important problem that affects the quality of governing system and power.The searching efficiency is low when the genetic algorithm is used for optimizing hydroturbine parameters. In this paper,a new way for optimizing parameters of hydroturbine governor with immune-genetic algorithm is presented.The degeneration can be reduced and the searching efficiency can be ameliorated by ushering in anamnestic response and artificial active immunization. The simulation result suggests that the immune-genetic algorithm for researching efficiency is greatly ameliorated in comparison with the classic genetic algorithm,but it does not depend on the initial value of parameters and it is characterized by strong robustness and adaptability.更多还原