静止无功补偿器的模糊神经元PID电压控制

针对传统PID控制应用于静止无功补偿器电压控制系统所体现出的快速性与稳定性之间的矛盾,以及较差的自适应能力和鲁棒性的缺陷,采用神经元控制和比例控制设计了1种变结构PID控制器,并采用模糊控制实现该变结构PID控制器参数Kp、Kd和Ki的在线调整。仿真结果表明,将所设计的模糊神经元PID控制器应用于SVC电压控制系统,能有效、快速地补偿系统的无功功率,可更好地实现电力系统电压的稳定控制作用,且控制系统具有较快的响应速度、较好的动态和静态稳定性、较强的鲁棒性及自适应能力。

Fuzzy Neuron PID Voltage Control for SVC

As for the contradiction between rapidity and stability shown by the application traditional PID controller in the voltage control system of static var compensator and also the defect of weak self-adaption robustness,a kind of neuron variable structure PID controller by the use of neuron control and pro-portional control is designed. In addition,an on line adjustment of parameters Kp,Kd and Ki for the vari-able structure PID controller by way of fuzzy control is achieved. The simulation results show that applic-ation of all fuzzy neuron variable structure PID controller to SVC voltage control system can compensate reactive power of the system rapidly and effectively,realize voltage stability control of system;meanwhile, the control system has fast response speed,better static and dynamic performance,strong robustness as well as self-adaption ability.