Issues in Model Reduction of Power Grids
Issues in Model Reduction of Power Grids
复制标题
电网模型简化问题
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
L. M. Silveira
中科院分区：
文献类型：
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作者：
João M. S. Silva;L. M. Silveira
电网分析最近已经上升到突出，由于广泛使用较低的电源电压的电力意识设计。低电源电压意味着更小的噪声裕度，并使电网上的电压降非常关键，因为它可能导致整体电路变慢，信号完整性问题，并最终导致电路故障。由于电网的庞大规模，验证电网的正常行为是一项艰巨的任务。此问题的通常解决方案是应用降阶建模技术来生成较小的宏模型。这些技术通常基于子空间的投影，子空间的维度由输入空间决定。不幸的是，电网的特点是有大量的网络端口，这限制了可实现的压缩量。最近，人们提出了新的算法来解决这一问题，这些算法可能提供有效的替代方案。在本文中，我们讨论了与电网网络模型约简相关的主要问题，并比较了几种模型约简的方法，提供了一些对问题的见解以及如何解决它。
Power grid analysis has recently risen to prominence due to the widespread use of lower supply voltages by power-conscious designs. Low supply voltages imply smaller noise margins and make the voltage drop across the power grid very critical since it can lead to overall slower circuits, signal integrity issues and ultimately to circuit malfunction. Verifying proper behavior of a power grid is a difficult task due to the sheer size of such networks. The usual solution to this problem is to apply reduced-order modeling techniques to generate a smaller macromodel. These techniques are typically based on projections to subspaces whose dimension is determined by the input space. Unfortunately power grids are characterized by a massive number of network ports, which limits the amount of compression achievable. Recently, new algorithms have been proposed for solving this problem which may provide efficient alternatives. In this paper we discuss the main issues related to model reduction of power grid networks and compare several methods for such reduction, providing some insight into the problem and how it can be tackled.