CAREER: Multi-Timescale Dynamics Modeling, Simulation, and Analysis of Converter-Dominated Power Systems

这个NSF CAREER项目的目的是研究电力系统动态与大规模集成的逆变器为基础的资源（IBR），这挑战了现有的稳定性仿真和分析框架。该项目将为电力系统动态研究带来革命性的变化，并提高捕获快速和慢速时间尺度动态响应的准确性和效率。这将通过创建一个统一的框架来实现，该框架将快速瞬变与缓慢动态相结合，并通过变换、简化和数值方法来选择动态。该项目的智力优势包括为设备和系统级建模建立统一的符号框架，开发用于稳定性分析的先进分析方法，以及创建高效的仿真算法，所有这些都旨在改善复杂，多时标动态下的网格仿真。该项目的广泛影响包括加强电力工程研究和教育的开源基础设施，通过创新的推广计划培养公众对可再生能源的兴趣和知识，并让代表性不足的学生参与可再生能源技术的实践经验。转换器和IBR的大规模集成对电力系统动态产生了重大影响。传统上，时标分离的概念促进了组件级快速电磁瞬变和系统级慢变机电稳定性之间的分类。然而，这种分离受到IBR的挑战，IBR与快速网络瞬态和缓慢的机电动态相互作用。这个项目的目的是了解如何网络瞬态，开关转换器和机电动态可以统一建模，严格分析，并有效地模拟。具体而言，该项目将1）建立一个符号框架，用于通过切换微分代数方程（DAE）来制定组件动态，这将以原则性的方式实现模型的转换和简化; 2）建立分析方法来表征小信号模型的振荡特性，包括评估不确定性对特征值和时标分离的影响;以及3）在时域和动态相量域中开发开关DAE问题的有效仿真方法，该奖项反映了NSF的法定使命，并通过使用基金会的智力价值进行评估，更广泛的影响审查标准。

This NSF CAREER project aims to investigate power system dynamics with large-scale integration of inverter-based resources (IBRs), which challenges the existing frameworks of stability simulation and analysis. The project will bring transformative change to power system dynamics studies and improve the accuracy and efficiency for capturing dynamic responses in both fast the slow time-scales. This will be achieved by creating a unified framework that blends fast transients with slow dynamics and selecting dynamics through transformation, simplification, and numerical methods. The intellectual merits of the project include establishing a unified symbolic framework for device- and system-level modeling, developing advanced analytical methods for stability analysis, and creating efficient simulation algorithms, all aimed at improving grid simulations under complex, multi-timescale dynamics. The broader impacts of the project include enhancing open-source infrastructures for power engineering research and education, cultivating public interest and knowledge of renewable energy through innovative outreach programs, and engaging underrepresented students with hands-on experiences in renewable energy technologies.The large-scale integration of converters and IBRs has significantly impacted power system dynamics. Traditionally, the notion of time-scale separation facilitated a classification between component-level fast electromagnetic transients and system-level slow-varying electromechanical stability. This separation, however, is being challenged by IBRs, which interact with both fast network transients and slow electromechanical dynamics. This project aims to understand how network transients, switched converters, and electromechanical dynamics can be uniformly modeled, rigorously analyzed, and efficiently simulated. Specifically, the project will 1) establish a symbolic framework for formulating component dynamics by switched differential algebraic equations (DAE), which will enable the transformation and simplification of models in a principled manner; 2) establish analytical methods to characterize the oscillatory properties of small-signal models, including assessing the impact of uncertainty on eigenvalues and timescale separation; and 3) develop efficient simulation methods for switched DAE problems in both the time domain and dynamic phasor domain, creating algorithms that leverage the properties of the mathematical models to speed up computations while maintaining accuracy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.