Reduced-Order Models for Representing Converters in Power System Studies
Reduced-Order Models for Representing Converters in Power System Studies
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DOI：
10.1109/tpel.2017.2711267
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发表时间：
2018-04
影响因子：
6.7
通讯作者：
Yunjie Gu;N. Bottrell;T. Green
中科院分区：
文献类型：
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作者：
Yunjie Gu;N. Bottrell;T. Green
保持物理意义的降阶模型对于在大规模电力系统研究中产生洞察力是重要的。传统的多时间尺度系统模型降阶是基于丢弃具有快速（短时间尺度）动态的状态。它已成功地应用于同步电机，但不准确时，应用于电源转换器，因为快速和慢速状态的时间尺度没有充分分离。在这里提出的方法中，几个快速状态首先被丢弃，但它们与缓慢状态的相互作用的表示被添加回来。认识到许多转换器的快速状态是线性的，允许使用成熟的线性系统理论来实现这一概念。保留了原系统的所有与系统动态相关的信息，包括非线性，这有利于判断系统稳定性和洞察控制设计。在一个小型变流器供电系统上对该方法进行了测试，分析和实验结果的比较证实了该方法在广泛的条件下具有较高的精度。
A reduced-order model that preserves physical meaning is important for generating insight in large-scale power system studies. The conventional model-order reduction for a multiple-timescale system is based on discarding states with fast (short timescale) dynamics. It has been successfully applied to synchronous machines, but is inaccurate when applied to power converters because the timescales of fast and slow states are not sufficiently separated. In the method proposed here, several fast states are at first discarded but a representation of their interaction with the slow states is added back. Recognizing that the fast states of many converters are linear allows well-developed linear system theories to be used to implement this concept. All the information of the original system relevant to system-wide dynamics, including nonlinearity, is preserved, which facilitates judgments on system stability and insight into control design. The method is tested on a converter-supplied mini power system and the comparison of analytical and experiment results confirms high preciseness in a broad range of conditions.