Khlifi Younes El, Magri Abdelmounime El, Lajouad Rachid, Bouattane Omar, Giri Fouad
EEIS Lab, ENSET Mohammedia, Hassan II University of Casablanca, Morocco.
University of Caen Normandie, Caen, France.
ISA Trans. 2024 Apr;147:360-381. doi: 10.1016/j.isatra.2024.02.007. Epub 2024 Feb 16.
With the large-scale integration of renewable energy systems, the power inertia and voltage support of the grid are low. Using the inverter with temporary storage capabilities cope with shortages and power fluctuations. This paper presents a new sensorless control of a single-phase grid-connected PV system based on a multilevel flying capacitor inverter MFCI) able to smooth out the power produced. The designed controller involves two cascade loops, an outer loop control extracts the maximum power despite climate change, and an inner loop consists of a model predictive control based on the Lyapunov theory for power factor correction and flying capacitor voltage balancing. Furthermore, an interconnected Kalman-like high-gain observer is combined with the predictive control algorithm to estimate the flying capacitor voltages accurately based on the actual grid current. The stability study of the suggested observer in the closed loop has been described. An algorithm that generates reference signals to manage power flows is also developed. The performance of the proposed controller has been verified on the MATLAB/Simulink platform, and the simulation results confirm the effectiveness of the proposed controller over different grid operating modes.
随着可再生能源系统的大规模集成，电网的功率惯性和电压支撑能力较低。使用具有临时存储能力的逆变器来应对电力短缺和功率波动。本文提出了一种基于多电平飞跨电容逆变器（MFCI）的单相并网光伏系统无传感器控制方法，该方法能够平滑输出的电能。所设计的控制器包括两个级联回路，外环控制可在气候变化的情况下提取最大功率，内环由基于李雅普诺夫理论的模型预测控制组成，用于功率因数校正和飞跨电容电压平衡。此外，将一种互联的类卡尔曼高增益观测器与预测控制算法相结合，以基于实际电网电流准确估计飞跨电容电压。文中描述了所建议观测器在闭环中的稳定性研究。还开发了一种生成参考信号以管理功率流的算法。所提出的控制器的性能已在MATLAB/Simulink平台上得到验证，仿真结果证实了所提出的控制器在不同电网运行模式下的有效性。
