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Out-of-step Prediction for Power System Using Improved Prony Algorithm

机译:基于改进Prony算法的电力系统失步预测

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摘要

The development of the phasor measurement units (PMUs) and the wide-area measurement systems (WAMS) in power system provide abundant synchronous data for the new application. This paper proposes an online out-of-step monitoring and predicting scheme for the interconnected power systems based on the rotor angle measurement. The Prony algorithm is improved to predict whether and when a power swing will lead to out-of-step of the generator or the power systems. An energy-like weight coefficient approximation of the decomposed signals is introduced to maintain the accuracy and reliability of the model free dynamic prediction method. The effectiveness and applicability of the proposed scheme is illustrated using a 2-area-4-machine power system.
机译:电力系统中相量测量单元(PMU)和广域测量系统(WAMS)的发展为新应用提供了丰富的同步数据。本文提出了一种基于转子角测量的互联电力系统在线失步监测与预测方案。 Prony算法得到改进,可以预测是否以及何时发生功率摆幅会导致发电机或电源系统失步。引入能量近似的分解信号权重系数近似值,以保持无模型动态预测方法的准确性和可靠性。提出的方案的有效性和适用性使用2区4机电源系统进行了说明。

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