Due to the rapid adoption of power electronics technology in shipboard microgrids (SMGs) in recent years, harmonic contamination has become now a crucial topic for these power systems. In order to sustain the safety of the electrical power systems, standards for power quality have imposed strict limits on the harmonic distortion allowed. In these standards, the application of the fast Fourier transform (FFT) with a window size of 10/12 cycles is often recommended for the harmonic evaluation. This method is not practical for SMGs due to large variations in load and frequency in a short duration. To address this issue, this article proposes a signal periodicity-independent algorithm to estimate the current harmonic distortion of SMGs by solving an eigenvalue problem with a short transient response. The proposed algorithm, which is based on a resolution-enhanced sliding matrix pencil method (SMPM), is distinguished by its frequency independency feature, and as a result of this, feature system frequency variations and the existence of interharmonics do not affect its accuracy. The evaluation of the proposed method is carried out under the MATLAB software and is experimentally verified via analyzing the electrical power system current of a container ship.

中文翻译：

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一种评估船用微电网谐波失真的分辨率增强滑动矩阵笔法

由于近年来在船载微电网 (SMG) 中快速采用电力电子技术，谐波污染现已成为这些电力系统的一个重要课题。为了维持电力系统的安全，电能质量标准对允许的谐波失真施加了严格的限制。在这些标准中，通常建议应用窗口大小为 10/12 周期的快速傅里叶变换 (FFT) 进行谐波评估。由于负载和频率在短时间内发生较大变化，因此该方法对于 SMG 不实用。为了解决这个问题，本文提出了一种与信号周期无关的算法，通过解决瞬态响应较短的特征值问题来估计 SMG 的电流谐波失真。提出的算法，它基于分辨率增强的滑动矩阵笔法（SMPM），以其频率无关特性而著称，因此，特征系统频率变化和间谐波的存在不影响其准确性。该方法的评估在MATLAB软件下进行，并通过分析集装箱船的电力系统电流进行实验验证。