Nonlinear network reduction for distribution networks using the holomorphic embedding method
Nonlinear network reduction for distribution networks using the holomorphic embedding method
复制标题
使用全纯嵌入方法减少配电网的非线性网络
DOI：
10.1109/naps.2016.7747978
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
D. Tylavsky
中科院分区：
文献类型：
--
作者：
S. Rao;D. Tylavsky
本文提出了三种不同的真实非线性约简方法，以获得径向（分布式）网络的网络等价物（使用全纯嵌入式潮流算法），即使在负荷和实际发电量按比例缩放时，考虑到计算精度的限制，这些方法也是准确的。本文应用所提出的简化方法来简化径向配电系统，并提供等效的两母线模型，该模型可以准确地模拟由于配电系统负载的随机变化而在输电网络中看到的有功和无功负载。为径向 14 总线系统提供了数值结果，以显示所提出的方法在保持电压和松弛总线功率方面的准确性。即使负载以随机方式增加，该方法也比 Ward 减少具有更好的性能。
This paper presents three different true nonlinear reduction methods to obtain network equivalents for radial (distribution-type) networks (using the holomorphically embedded power flow algorithm), which are exact, given computational precision limitations, even when the loads and the real-power generations are scaled. The proposed reduction methods are applied in this paper to reduce a radial distribution system and provide a two-bus-model equivalent which accurately models the real and reactive power load seen at the transmission network due to random changes in the distribution system load. Numerical results are provided for a radial 14-bus system to show the accuracy of the proposed methods in preserving voltages and slack bus power. The approach is shown to have better performance than Ward reduction even when the loads are increased in a random manner.