论文标题

电力系统模型减少的比较分析

Comparative Analysis of Power System Model Reduction

论文作者

Khatibi, Mohammad, Rahmani, Fatemeh, Agarwal, Tanushree

论文摘要

本文介绍了模态截断和奇异值分解(SVD)技术,作为功率系统动态模型减少的两种主要算法。研究了提出方法的显着性和准确性,并针对约束线性系统得出的详细配方进行了研究。原始非线性系统的完整线性化模型被确定并用作动态还原技术的输入。因此,研究了多机器系统中同步机的变量,并用更简单的动态模型替换。这种等效的动态模型的行为应与所研究系统中观察到的相似。每种技术在动态还原后保持主导振荡模式的能力被用作比较标准。还原技术在动态的39个布斯新英格兰测试系统上进行了模拟。

This paper presents the modal truncation and singular value decomposition (SVD) technique as two main algorithms for dynamic model reduction of the power system. The significance and accuracy of the proposed methods are investigated with their detailed formulation derived for a constrained linear system. The full linearized model of the original nonlinear system is determined and used as the input of the dynamic reduction technique. Therefore, the variables of a synchronous machine in a multi-machine system is studied and replaced with a much simpler dynamic model. This equivalent dynamic model should behave similarly to what is observed from the system under study. The capability of each technique in keeping dominant oscillation modes after dynamic reduction is utilized as the comparison criteria. The reduction techniques are simulated over the dynamic 39-bus New England test system for validation.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源