Aiming at the problem that complex turbine governing system is difficult to establish accurate mathematical model

which leads to low control precision and poor adaptive ability of the traditional proportionalintegral-differential（ PID） controller

an improved krill swarm algorithm is proposed to optimize the parameters of the PID controller.By introducing evolutionary factors α and optimization operators β into krill swarm algorithm to enhance adaptation and modulability of the algorithm.Firstly

the frequency error and the change rate of frequency error are substituted into the improved krill swarm algorithm controller

and a group of PID parameters which minimize the objective function are obtained by iteration of the algorithm.Then these parameters are assigned to the PID controller to control the system.The simulation results show that compared with the traditional PID controller

the overshoot of the controller optimized by the algorithm is significantly reduced and the mediation time is greatly shortened.