电力系统分析中基于降阶模型的三相感应电机动态仿真

A. S. Jafar, Ghassan Abdullah Salman, A. I. Ismael
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引用次数: 0

摘要

感应电机是一种重要的电气设备,在各种工业中用作电动机,在家庭应用中用作单相电动机。它们构成了今天使用的工业电机的80%以上。本文提出了一种基于(d-q)模型的三相异步电机的动态仿真,为异步电机在同步参照系中的行为提供了一个清晰易懂的解释。利用SIMULINK/MATLAB软件进行仿真,并进行全阶模型分析进行暂态分析。然而,将感应电机建模作为电力系统分析的一部分,可以用比全阶模型更不详细的模型来完成。本文采用降阶模型,利用MATLAB/SIMULINK对异步电动机进行仿真。通过对降阶系统和全阶框架的计算结果进行比较,研究了模型的局限性,在大型电力系统仿真中节省时间的计算效益证明了模型精度的相对降低。在模拟大型和超大规模电力系统时,使用降阶模型可以显著减少计算时间,并且在瞬态分析中具有比传统稳态模型更高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Simulation of Three Phase Induction Machines Based on Reduced Order Model for Power Systems Analysis
Induction machines are a crucial type of electrical equipment utilized as motors in various industries and single-phase forms in household applications. They make up more than 80% of the industrial motors used today. This paper presents a dynamic simulation of three-phase induction machines based on the (d-q) model, providing a clear and easy-to-understand explanation of the behavior of the induction motor in the synchronous reference frame. The simulation is implemented using SIMULINK/MATLAB software, and full-order model analysis is conducted for transient analysis. However, modeling induction machines as part of power system analysis can be done with a less detailed model than the full-order one. In this paper, a reduced-order model is employed to simulate the induction motor using MATLAB/SIMULINK. The results of the reduced-order system and the full-order framework are compared to investigate the model's limits, and the computational benefits of saving time during large power system simulations justify the relative decrease in accuracy. The use of a reduced-order model results in a significant reduction in computation time when simulating large and very large-scale power systems, with a much higher accuracy in transient analysis than the conventional steady-state model.
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