损耗耦合传输线的延迟提取与被动宏观建模

A. Dounavis, N. Nakhla, R. Achar, M. Nakhla
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引用次数: 28

摘要

近年来,针对分布式输电网络的时域宏建模提出了几种算法。研究表明,保持宏观模型的无源性是保证全局稳态模拟的关键。特性法等技术可以对长延迟线产生快速的瞬态结果。但是,它们不能保证宏模型的被动性。另一方面,矩阵有理逼近等方法在保持无源性的同时,为有耗耦合线提供了有效的宏模型。然而,对于长有损延迟线,这可能需要高阶近似,使宏模型效率低下。为了解决上述困难,本文提出了一种对长时延有耗耦合线进行高效宏建模的新算法。该方法在逼近线的指数戳之前先进行延迟提取,保证了宏模型的无源性。本文还提供了基于线路参数知识的延迟提取和矩阵有理逼近的实际应用指南。
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Delay extraction and passive macromodeling of lossy coupled transmission lines
Recently, several algorithms were proposed for time-domain macromodeling of distributed transmission line networks. It has been demonstrated that preserving passivity of the macromodel is essential to guarantee a stable global transient simulation. Techniques such as method-of-characteristics yield fast transient results for long delay lines. However, they do not guarantee the passivity of the macromodel. On the other hand, methods such as matrix rational approximation provide efficient macromodels for lossy coupled lines, while preserving passivity. However, for long lossy delay lines this may require higher order approximations, making the macromodel inefficient. In order to address the above difficulty, this paper presents a new algorithm for efficient macromodeling of lossy coupled lines with long delay. The proposed method employs delay extraction prior to approximating the exponential stamp of the line and guarantees the macromodel passivity. The paper also provides guidelines on the practical applicability of the delay extraction and the matrix rational approximation, based on the knowledge of line parameters.
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