An XgBoost based method for identifying electromechanical oscillations from ambient measurements using WAMS

Imtiaz Kumar Pradhan, Sameer Ranjan Sahu, Shekha Rai
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Abstract

A novel method for online identification of modes corresponding to low frequency oscillations (LFOs) in power systems is put forth in this paper. The effect of colored noise is created by the filters employed in phasor measurement unit(PMU) has been taken into account in the ambient signal measurement. To illustrate the productivity and robustness of the suggested methodology, a comparison study of the simulation results of the proposed method with other developed techniques such as RD-ESPRIT and K-SVD has been undertaken using synthetic test signals representing ambient data. Comparison of this proposed method with other methods is also performed on two-area data simulated on Real Time Digital Simulator (RTDS) and real measurements of Western Electricity Coordinating Council (WECC).
基于XgBoost的WAMS环境测量中机电振荡识别方法
提出了一种电力系统低频振荡模态在线辨识的新方法。在环境信号测量中,考虑了相量测量单元(PMU)中使用的滤波器所产生的有色噪声的影响。为了说明所建议方法的生产力和鲁棒性,使用代表环境数据的合成测试信号,将所建议方法的模拟结果与其他开发的技术(如RD-ESPRIT和K-SVD)进行了比较研究。并以实时数字模拟器(RTDS)上的两区实测数据和西部电力协调委员会(WECC)的实测数据与其他方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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