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Robust estimation of power quality disturbances using unscented H-infinity filter

机译:使用无味H无限滤波器对功率质量扰动进行鲁棒估计

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This paper proposes a novel adaptive filtering method for tracking the power quality disturbances present in distorted power signals. The proposed filter known as unscented H-infinity. filter (UHF) is the robustification of unscented Kalman filter (UKF) and is based on state space modeling. The performance of unscented H-infinity filter has been compared with other adaptive filters considering signals, which can represent worst case measurement and network conditions in a typical power system. State space modeling is used to estimate power quality disturbances like sag, swell, notch in presence of additive white Gaussian noise (AWGN). Also the amplitudes and phases of different harmonics under high noisy conditions and decaying DC are also estimated which shows the robustness of the filter. Comparison results demonstrate that under identical conditions, the performance of UHF is better compared to UKF. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的自适应滤波方法,用于跟踪失真功率信号中出现的功率质量扰动。提出的滤波器称为无味H无限。滤波器(UHF)是无味卡尔曼滤波器(UKF)的增强,并且基于状态空间建模。已将无味H无限滤波器的性能与考虑信号的其他自适应滤波器进行了比较,这些信号可以代表典型电源系统中最坏的情况下的测量和网络条件。状态空间建模用于在存在加性高斯白噪声(AWGN)的情况下估计电能质量扰动,例如下垂,膨胀,陷波。此外,还估计了在高噪声条件和衰减的DC下不同谐波的幅度和相位,这表明了滤波器的鲁棒性。比较结果表明,在相同条件下,UHF的性能优于UKF。 (C)2015 Elsevier Ltd.保留所有权利。

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