Accurate prediction of damping in large interconnected power systems with the aid of regression analysis
Accurate prediction of damping in large interconnected power systems with the aid of regression analysis
复制标题
借助回归分析准确预测大型互联电力系统的阻尼
DOI：
10.1109/pes.2009.5275684
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
P. Wijetunge
中科院分区：
文献类型：
--
作者：
B. Archer;U. Annakkage;B. Jayasekara;P. Wijetunge
本文介绍了回归分析在大型互联电力系统小干扰稳定性研究中的应用。结果表明，这种方法在更好地理解占主导地位的机电振荡模式的性质，并在准确地预测这些模式的阻尼的有用性。这种方法在识别系统阻尼和不同的可测量和可调节的电力系统的数量，如发电机输出，线路流量，母线电压和母线角之间的强相关性的有用性，提出。结果表明，这种方法可能是有用的，在优化的位置，传统的电力系统在线记录设备，如动态摆动记录器（DSRs），以及真实的时间监测设备，如相量测量单元（PMU）。敏感性研究表明，电力系统的信息可能是有用的，在提供一个额外的工具，以帮助系统运营商优化发电资源的调度。它还可以用于提供来自电力系统的更真实的反馈，并有助于真实的实时地做出关于动态稳定性及其对适当的系统拓扑结构、负载水平和允许的传输水平的影响的决策。
This paper introduces the use of regression analysis in the study of small signal stability in large interconnected power systems. Results demonstrate the usefulness of this approach in better understanding the nature of dominant electromechanical modes of oscillation and in accurately predicting the damping on these modes. The usefulness of this approach in identifying strong correlations between system damping and distinct measurable and adjustable power system quantities such as generator output, line flows, bus voltages and bus angles, is presented. Results suggest that this approach may be useful in optimizing the location of traditional power system on-line recording devices, such as Dynamic Swing Recorders (DSRs) as well as real time monitoring devices such as Phasor Measurement Units (PMUs). Sensitivity studies show that power system information obtained may be useful in providing an additional tool to help system operators optimize the dispatch of generating resources. It would also be useful in providing more realistic feedback from the power system and aid in the decision making regarding dynamic stability and its effect on appropriate system topology, loading levels and allowable transfer levels, in real time.