文章摘要
南海鹏,王 涛,余向阳.基于改进遗传算法的水轮机调速器参数优化[J].水利学报,2002,33(10):0057-0061
基于改进遗传算法的水轮机调速器参数优化
Optimization of hydro turbine governor parameters by means of genetic algorithm
  
DOI:
中文关键词: 水轮机调速器  参数优化  遗传算法
英文关键词: hydro turbine governor  parameter optimization  genetic algorithm
基金项目:
作者单位
南海鹏 西安理工大学水电学院 
王 涛 西安理工大学水电学院 
余向阳 西安理工大学水电学院 
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中文摘要:
      本文提出了一种用改进的遗传算法优化水轮机调速器参数的新方法,通过引入自适应变化的变异概率和交叉概率,改善了遗传算法的寻优效率,并提出了分段加权的目标函数,能够改善水轮机调速器的反冲影响,通过仿真表明,改进遗传算法寻优效率较简单遗传算法有了大幅提高,具有很强的鲁棒性。
英文摘要:
      A new approach for optimizing the parameters of hydro turbine governor using genetic algorithm is developed. The searching efficiency can be ameliorated by the alterable intercross probability and mutation probability. In addition, an objective function with different weight in different area is introduced, by which the undershooting of the system can be reduced. The simulation result shows that by means of this algorithm the searching efficiency is greatly improved.
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