互联电力系统的混沌控制研究  

Research on Chaos Control of Interconnected Power System

作　　者：周群利[1] 白彩波[1] 陈素芹[1] ZHOU Qunli;BAI Caibo;CHEN Suqin(Institute of Electrical and Automation,Wuhu Institute of Technology,Wuhu 241006,China)

机构地区：[1]芜湖职业技术学院电气与自动化学院,安徽芜湖241006

出　　处：《广东石油化工学院学报》2022年第4期47-50,56,共5页Journal of Guangdong University of Petrochemical Technology

基　　金：安徽高校自然科学研究重点项目(KJ2020A0911、KJ2021A1318);安徽省高校优秀拔尖人才培育项目(gxgnfx2021190);安徽省职业与成人教育学会科研规划课题(Azcj084);芜湖职业技术学院自然科学研究项目(wzyzrzd202101)。

摘　　要：对具有多自由度、强耦合的二阶互联电力系统中的混沌现象进行了控制研究,当电力系统存在外在扰动因素时,系统的运行状态与系统的参数取值情况密切相关。对系统的任意一个参数进行调节时,Matlab仿真结果表明系统的状态变量变化毫无规律,呈现有界且总体吸引局部排斥的结构。电力系统中存在的混沌严重影响系统的安全稳定运行,采用基于RBF神经网络的滑模控制方法对系统进行控制,选取系统的一个滑模模态,设计有效的控制输入,通过对定义的李雅普诺夫函数求导让其小于等于零,得出系统自适应律的表达式。仿真结果证明了该方法的有效性,能够使系统状态变量快速而稳定地收敛于控制目标。The control of chaos in the second-order interconnected power system with multi degrees of freedom and strong coupling is studied.When there are external disturbance factors in the power system,the operation state of the system is closely related to the value of system parameters.When one of the parameters of the system is adjusted,the MATLAB simulation results show that the state variables of the system change irregularly,showing a bounded structure of overall attraction and local repulsion.Chaos in the power system will seriously affect the safe and stable operation of the system.The sliding mode control method based on RBF neural network is used to control the system,select a sliding mode of the system,design an effective control input,and obtain the expression of the system adaptive law by deriving the defined Lyapunov function to make it less than or equal to zero.The simulation results also strongly prove the effectiveness of the method,which can make the system state variables converge to the control target quickly and stably.

关 键 词：混沌 互联电力系统 非线性 RBF神经网络 

分 类 号：TM361[电气工程—电机]