基于最小二乘支持向量机的电力系统混沌振荡控制

Chaotic oscillation control of electric power system based on least square support vector machines

电力系统在周期性负荷扰动的作用下会发生混沌振荡,甚至由此而失去稳定.为抑制这种情况下的混沌振荡对电力系统的影响,利用支持向量机良好的非线性函数逼近和泛化能力,提出了最小二乘支持向量机(LS-SVM)的电力系统混沌振荡控制方法.运用最小二乘支持向量机对电力系统的动力学特性进行学习,得到训练好的电力系统LS-SVM模型,进而实现对电力系统混沌振荡的控制.该方法不需要被控混沌系统的解析模型,数值仿真结果表明该方法的可行性.

The power system is likely to have chaotic oscillation or unstability under stronger periodic load perturbation.To restrain chaotic oscillation in this case,chaotic oscillation control method of power system based on Least Squares Support Vector Machines(LS-SVM) is proposed which has the excellent nonlinearity approximation ability and better generalization capability.The trained LS-SVM model of power system was obtained using LS-SVM to learn the dynamics behavior of power system,and control of power system chaos oscillation is realized.The method does not need an analytic model,and simulation results are given to prove the validity of the proposed method.