基于无模型自适应控制的电力弹簧电压控制OA

In response to the intermittency and uncertainty of renewable energy generation,which leads to changes in the model parameters of the electric spring(ES)system and a decrease in control performance,this paper proposes a model-free adaptive control(MFAC)strategy applied to the ES system.This strategy involves updating the control law equation and pseudo-derivative estimation equation in real-time using only the input-output data of ES.Through the compact form dynamic linearization algorithm,the input-output data of ES is described as a compact form dynamic linearization data model to replace the non-linear system of ES,thus achieving model-free adaptive control of ES.To verify the superiority of the control strategy proposed in this paper,the voltage stabilisation effect of the ES system is simulated by Matlab/Simulink.The results show that the voltage stabilisation response speed is improved by 0.07s,and the voltage waveform distortion rate is reduced by 6.43%,compared with the traditional proportional integral(PI)control strategy.