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Subsynchronous Oscillation Monitoring and Alarm Method Based on Phasor Measurements

机译:基于相量测量的次同步振荡监测与报警方法

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With the large-scale grid connection of new energy, a large number of power electronic devices installed introduce sub-/super-synchronous inter-harmonics into power signals, resulting in frequent occurrence of subsynchronous oscillations (SSO). The subsynchronous oscillation will cause serious harm to generator sets and power systems, so its online monitoring and accurate alarm are crucial to the safe and stable operation of them. Phasor measurement units (PMUs) can realize dynamic real-time monitoring of power systems. Based on PMU phasor measurements, this paper proposes a method for SSO online monitoring and alarm on the main station of PMU. Firstly, based on PMU current phasor amplitude data, FFT frequency spectrum analysis is performed to obtain subsynchronous frequency components. Secondly, the SVM learner is trained to obtain the amplitude threshold, then filter out safe components and retain harmful ones. Finally, the adaptive duration threshold is determined according to frequency susceptibility, amplitude attenuation and energy accumulation to decide whether to send out an alarm signal. Experiments based on field data verify the effectiveness of the proposed method.
机译:随着新能源的大规模电网连接,安装的大量电力电子设备将次/超同步间谐波引入了功率信号,导致次同步振荡(SSO)频繁发生。次同步振荡将严重损害发电机组和电力系统,因此其在线监控和准确的警报对于它们的安全和稳定运行至关重要。相量测量单元(PMU)可以实现电力系统的动态实时监控。在PMU相量测量的基础上,提出了一种在PMU主站进行SSO在线监测和告警的方法。首先,基于PMU电流相量数据,进行FFT频谱分析,得到次同步频率分量。其次,对SVM学习器进行培训,以获取幅度阈值,然后滤除安全组件并保留有害组件。最后,根据频率敏感性,幅度衰减和能量积累来确定自适应持续时间阈值,以决定是否发出警报信号。基于现场数据的实验证明了该方法的有效性。

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