Application of genetic algorithm in adaptive governor with variable PID parameters
遗传算法在水电机组调速器PID参数优化中的应用

The hydraulic generating control,especially for the giant generating unit,is a complex and dynamic process.The performance of hydraulic generating unit depends mostly on how to identify the appropriate control strategy and optimization algorithm of the adaptive control parameters.A full digital nonlinear model for the governing system was first built for obtaining the PID control parameters.A new fitness function,which reflects the integrated performance index of hydroelectric regulation system,was created and applied to genetic algorithm for optimizing the control parameters of this kind of adaptive governor with variable PID parameters.The whole control algorithms are mainly composed of two parts: the main programming of genetic algorithm was realized by C(++) Builder,the model of hydraulic generating unit was built by the Simulink tool box in Matlab and their interactive interface was implemented through the engine provided by Matlab.The simulation results show that,compared with the traditional orthogonal method,the genetic algorithm is more effective in any operating state and any set point and the results have now been applied to a huge hydropower plant.