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A novel phaselet-based approach for islanding detection in inverter-based distributed generation systems

机译:基于逆变器分布式发电系统中的一种新型普通基于恐怖主义方法的方法

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摘要

In this paper, a novel signal processing approach based on phaselet algorithm is proposed to detect the islanding phenomenon. Phaselets can effectively compute the phasors over data windows that are not limited to an integer multiplication of a half-cycle. Thereby, they can obtain features of the islanded and non-islanded situations without injecting any disturbance or high frequency signal into the power system, which makes the proposed method more accurate and reliable because there are no power quality reduction problems. In the proposed approach, phaselet algorithm uses the variable filtering window capability in order to phasor estimation of the negative sequence components of the voltage and current waveforms. To evaluate the performance of the proposed technique, various islanding and non-islanding events have been implemented using a grid-connected PV system modeled in a MATLAB/Simulink environment, which are based on the UL-1741 and IEEE-1547 standards. The simulation results show that our approach is able to accurately distinct islanding incident from other power quality disturbances. The ability to detect islanding occurrence in less than two cycles even in the case of perfect power match, the zero non-detection zone (NDZ) and no power quality degradation are the main advantages of the proposed method.
机译:本文提出了一种基于缩放算法的新型信号处理方法来检测岛状现象。 PhaseLets可以有效地计算不限于半周期的整数乘法的数据窗口上的相量。由此,它们可以获得岛立和非岛立情况的特征,而不将任何干扰或高频信号注入电力系统,这使得提出的方法更准确且可靠,因为没有功率质量降低问题。在所提出的方法中,Phaselet算法使用可变滤波窗口能力,以便相移到电压和电流波形的负序列分量的相分估计。为了评估所提出的技术的性能,使用在Matlab / Simulink环境中建模的网格连接的PV系统来实现各种岛屿和非岛事件,该网格/ Simulink环境基于UL-1741和IEEE-1547标准。仿真结果表明,我们的方法能够准确地与其他电能质量障碍发生的岛屿。即使在完美的电源匹配的情况下,零非检测区(NDZ)和电源质量劣化也是如所提出的方法的主要优点。

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