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Revisiting Power Systems Time-domain Simulation Methods and Models
arXiv - EE - Systems and Control Pub Date : 2023-01-24 , DOI: arxiv-2301.10043
Jose Daniel Lara, Rodrigo Henriquez-Auba, Deepak Ramasubramanian, Sairaj Dhople, Duncan S. Callaway, Seth Sanders

The changing nature of power systems dynamics is challenging present practices related to modeling and study of system-level dynamic behavior. While developing new techniques and models to handle the new modeling requirements, it is also critical to review some of the terminology used to describe existing simulation approaches and the embedded assumptions. This paper provides a first-principles review of the simplifications and transformation commonly used in the formulation of time-domain simulation models. It introduces a taxonomy and classification of time-domain simulation models depending on their frequency bandwidth, network representation, and software availability. Furthermore, it focuses on the fundamental aspects of averaging techniques, and model reduction approaches that result in modeling choices, and discusses the associated challenges and opportunities of applying these methods in systems with large shares of Inverter Based Resources (IBRs). The paper concludes with an illustrative simulation that compares the trajectories of an IBR-dominated system.

中文翻译:

重温电力系统时域仿真方法和模型

电力系统动力学不断变化的性质正在挑战与系统级动态行为的建模和研究相关的当前实践。在开发新技术和模型来处理新的建模要求时,审查用于描述现有仿真方法和嵌入式假设的一些术语也很重要。本文提供了对时域仿真模型制定中常用的简化和转换的第一性原理回顾。它根据频率带宽、网络表示和软件可用性介绍了时域仿真模型的分类和分类。此外,它侧重于平均技术的基本方面,以及导致建模选择的模型简化方法,并讨论了在具有大量基于逆变器的资源 (IBR) 的系统中应用这些方法的相关挑战和机遇。本文以一个说明性模拟作为结尾,该模拟比较了 IBR 主导系统的轨迹。
更新日期:2023-01-25
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