Abstract：In this paper， the suppression of chaotic phenomena in power systems is studied. Aiming at the inherent chattering phenomenon of sliding mode control， a PID-based synergetic control method is proposed to control chaotic phenomena. In order toreduce the influence of disturbance， the disturbance observer is used to predict the disturbance. A new objective function is proposed for the required control requirements， and the improved gray wolf algorithm is used to optimize the controller parameters. The simulation results show that the gray wolf algorithm can achieve better results after optimizing the control parameters. At the same time， it also shows that the proposed control method is very effective.
徐 敏,康 哲. 基于改进灰狼优化算法的混沌电力系统协同控制[J]. 华中师范大学学报(自然科学版), 2023, 57(3): 354-363.
XU Min,KANG Zhe. Synergetic control of chaotic power system based on improved grey wolf optimization algorithm. journal1, 2023, 57(3): 354-363.
2023, Vol. 57 
