Abstract：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.
陈泓韬, 秦一丹, 杨成顺, 黄宵宁. 基于无模型自适应控制的电力弹簧电压控制[J]. 电气技术, 2025, 26(2): 42-48.
CHEN Hongtao, QIN Yidan, YANG Chengshun, HUANG Xiaoning. Research on voltage control of electric spring based on model-free adaptive control. Electrical Engineering, 2025, 26(2): 42-48.
2025, Vol. 26 
