Abstract In this paper, a robust Iterative Learning Controller (ILC) operating under autonomous and grid connected modes with variable generation and loading conditions has been proposed for maintaining a stable voltage and frequency of a microgrid. The microgrid was modeled with solar, wind, fuel cell, battery, and load. The simulation was carried out in MATLAB/Simulink and the results were compared with the performance of Proportional Integral Controller, Fuzzy Logic Controller, and Recurrent Neural Network Controller. The performance indices, such as Integral of Time Absolute Error, Integral of Time Squared Error, standard deviation, percentage overshoot of DC bus voltage, and execution time of controller, were evaluated to validate the performance of the proposed controller. The results show that the proposed ILC is more effective in controlling voltage and frequency when compared to other controllers.

中文翻译：

---

用于混合微电网电压和频率稳定的鲁棒迭代学习控制器的设计与实现

摘要 在本文中，提出了一种在具有可变发电和负载条件的自主和并网模式下运行的鲁棒迭代学习控制器（ILC），用于维持微电网的稳定电压和频率。微电网采用太阳能、风能、燃料电池、电池和负载建模。仿真在 MATLAB/Simulink 中进行，并将结果与​​比例积分控制器、模糊逻辑控制器和循环神经网络控制器的性能进行比较。对时间绝对误差积分、时间平方误差积分、标准偏差、直流母线电压过冲百分比和控制器执行时间等性能指标进行了评估，以验证所提出控制器的性能。