利用UKF估计发电机突然断开时的幅值和频率

H. Novanda, P. Regulski, V. Terzija
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引用次数: 1

摘要

本文介绍了法罗群岛电力系统发电机突然断网的实验。实验中测量了三相电压和电流信号。提出了一种基于Unscented变换(UT)和卡尔曼滤波的参数估计方法,用于同时估计处理后信号的频率和幅度。通过避免使用线性化过程,与经典方法(即FFT和EKF)相比,UKF具有较高的估计精度和较低的计算需求。该方法对高电平噪声具有抗扰性,适用于电力系统的监测和保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Amplitude and frequency estimation during sudden generator disconnection using UKF
In this paper, an experiment involving a sudden generator disconnection in Faroe Islands power system is described. Three phase voltage and current signals were measured during the experiment. A novel parameter estimator based on Unscented Transformation (UT) and Kalman filter is implemented to estimate frequency and amplitude of the processed signals simultaneously. By avoiding the use of linearization procedures, UKF performs high estimation accuracy and lower computational demand compare to classical methods (i.e. FFT and EKF). This method has shown its immunity to high level of noise and is applicable for monitoring and protection purpose in power systems.
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