针对控制系统中负荷分量变化的不确定性问题及负荷扰动的随机性问题,结合云模型控制器,设计了一种基于云模型的负荷频率控制方法.将云控制器接入两区域互联电力系统中,输出的PI参数经云控制器调整,实现电力系统的负荷频率控制(LFC).仿真结果表明,在加入云模型控制器的负荷频率控制系统中,负荷频率达到稳定时间缩短.在某时刻加入扰动信号时,区域1的频率偏差相比于传统控制系统降低了21%,区域2的频率偏差相比于传统控制系统降低了51%.基于云模型的控制系统降低了频率偏差,提高了负荷频率控制的动态性能.%For the uncertainty problem of load component variation and the randomness of load disturbance in control system,a load frequency control method is proposed and designed based on cloud model controller.The cloud model controller is connected to the two-area interconnected power system, and the PI tuning parameter is self-adjusted by the cloud model controller to realize the load frequency control(LFC)of the power system.Finally,simulation results show that the frequency deviation of area 1 is 21% land the frequency deviation of region 2 is 51% that of traditional control system after adding the cloud model controller. With the cloud model,the control system reduces frequency deviation, improve the dynamic performance of load frequency control.
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