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Balanced Truncation Approach to Power System Model Order Reduction

机译：电力系统模型降阶的平衡截断法

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摘要

This article demonstrates the application of balanced truncation based model order reduction to the task of dynamic reduction of power systems. The entire power system is separated into an external area and a study area; dynamic reduction of the external area is conducted. The benefit of applying the balanced truncation technique is that key input-output relationships between these areas are retained during the reduction process. For perturbations originating in the study area, patterns in the dynamic behavior of the external area, such as generator coherency, are well captured by the reduced equivalent. The efficiency of the balanced truncation algorithm is also explored in the context of changing system conditions. Illustrative applications using a test system representative of the northern grid of India have led to some key findings on the coherency of the generators in this grid.
机译：本文演示了基于平衡截断的模型阶数减少在电力系统动态减少任务中的应用。整个电源系统分为一个外部区域和一个学习区域；动态减小外部区域。应用平衡截断技术的好处是在缩减过程中保留了这些区域之间的关键输入输出关系。对于起源于研究区域的扰动，通过减小的等效值可以很好地捕获外部区域动态行为的模式，例如发生器相干性。在不断变化的系统条件下，还探索了平衡截断算法的效率。使用代表印度北部电网的测试系统进行的示例性应用已导致有关该电网中发电机相干性的一些关键发现。

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