基于自适应混合遗传算法的协调控制系统

单元机组协调控制系统是大型火力发电机组的重要组成部分，针对协调控制系统过程的非线性、时变、大迟延、强藕合等特点，常规的机炉协调控制系统策略已经不能满足电网对单元机组协调控制系统的设计要求和控制品质要求。本文利用实数编码自适应混合遗传算法对协调控制系统的PID控制器参数进行优化，得到目标函数的全局最优解。仿真结果表明，文中方法使控制性能得到很大提高。

Coordinated control system based on adaptive hybrid genetic algorithm

The unit power coordinated control system is the important part of electric power plant. Considering the characters such as nonlinear, parameters time varying, large delay and severe coupling of coordinated control system, The control strategy of traditional coordinated control system is far from satisfying with the request of the electric network. This thesis puts up the research aims at application of real-coded adaptive hybrid genetic algorithm in coordinated control system PID controller parameters optimizing, makes objective function to reach the globally optimal solution. Simulation results show that this method gets the control performance improved a great deal.