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Using participation factors to improve the consistency and accuracy of Prony analysis for voltage stability monitoring applications

机译:使用参与因子提高Prony分析在电压稳定性监控应用中的一致性和准确性

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Steadily increasing demand for electricity has led to today's electric power networks often being stressed to their stability limits. Improved methods of stability monitoring are needed to manage this increased stress. Modal analysis could provide a relatively lightweight assessment of the stability of the system but some method is needed to accurately determine the modal content of the power system. Prony analysis has been suggested as a means to determine a power system's modal content directly from signals within the system. However, Prony analysis has proved to be difficult to implement due to the complexities in its parameter selection. This work addresses that difficulty by numerically exploring a novel role for modal participation factors as a way to select which signals to monitor and analyze with Prony analysis. The results show that using participation factors in this way can greatly improve the accuracy of the estimates generated by Prony analysis. The resulting accurate estimates can be used to provide critical early warning of impending voltage instability in the system.
机译:不断增长的电力需求已导致当今的电力网络经常受到其稳定性极限的压力。需要改进的稳定性监测方法来处理这种增加的压力。模态分析可以提供对系统稳定性的相对轻量级的评估,但是需要一些方法来准确确定电力系统的模态含量。建议使用Prony分析作为直接从系统内信号确定电力系统模态含量的方法。但是,由于Prony分析的参数选择非常复杂,因此难以实施。这项工作通过数值探索模态参与因子的新作用来解决该难题,这是一种选择用Prony分析监测和分析信号的方法。结果表明,以这种方式使用参与因子可以大大提高Prony分析生成的估计的准确性。所得的准确估计值可用于为系统中即将发生的电压不稳定提供关键的预警。

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