论文标题
数据驱动的电源电子转换器模型，用于低惯性电力系统动态研究
Data-Driven Power Electronic Converter Modeling for Low Inertia Power System Dynamic Studies
论文作者
论文摘要
大量基于转换器的生成正在整合到大量电力电网中，以通过可再生能源（例如风能和光伏电源）满足未来的电力需求。在电源系统的整体稳定性中，转换器系统的动力学不再像过去那样被忽略。文献中已经做出了许多努力，以得出详细的动态模型，但是在大型系统级别的研究中，使用详细模型变得复杂且计算效率高。在本文中，我们使用数据驱动的黑框方法来对电源电子转换器的动力学进行建模。系统标识工具用于识别动态模型，而由实时数字模拟器控制的功率放大器用于扰动和控制转换器。得出了一组转换器的线性动态模型，可用于用于转换器主导电网的系统级研究。
A significant amount of converter-based generation is being integrated into the bulk electric power grid to fulfill the future electric demand through renewable energy sources, such as wind and photovoltaic. The dynamics of converter systems in the overall stability of the power system can no longer be neglected as in the past. Numerous efforts have been made in the literature to derive detailed dynamic models, but using detailed models becomes complicated and computationally prohibitive in large system level studies. In this paper, we use a data-driven, black-box approach to model the dynamics of a power electronic converter. System identification tools are used to identify the dynamic models, while a power amplifier controlled by a real-time digital simulator is used to perturb and control the converter. A set of linear dynamic models for the converter are derived, which can be employed for system level studies of converter-dominated electric grids.
