摘要
在简要介绍改进遗传算法的基础上,将其应用于汽轮机数字电液调节系统的参数优化,并给出了参数优化过程。该算法有效抑制了算法早熟,提高了算法的全局搜索能力和局部搜索能力。优化结果表明,这种优化算法具有计算速度快、精度高、程序通用性强等优点,为汽轮机调节系统的参数优化提供了一种有效的方法,具有一定的参考价值。
Improved Genetic Algorithm (GA) is used for parameter optimization of turbine Digital Electrical Hydraulic (DEH) governing system after introduction. One improved genetic was put forward to restrain the premature convergence effectively and increase the global and local search capability. The optimization results showed that such method with GA has the advantages of fast computation, high parameter optimization precision, and better program generality. It provided a new way for parameter optimization of steam turbine governing system.
出处
《电力科学与工程》
2010年第4期58-61,共4页
Electric Power Science and Engineering
关键词
遗传算法
数字电液调节系统
参数优化
genetic algorithm
DEH control system
parameter optimization