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首页> 外文会议>Iranian Conference on Electrical Engineering >A new statistical-based algorithm for CT saturation detection utilizing residual-based similarity index
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A new statistical-based algorithm for CT saturation detection utilizing residual-based similarity index

机译：一种利用基于残差相似指数的CT饱和度检测的一种新的基于统计算法

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摘要

A statistical based method for current transformer saturation detection is presented in this paper. This method which simply detects and determines the saturation point starting and ending in real-time, is based on new formulation of correlation-based feature selection. This method has immunity against noisy condition. Based on similarity of saturated and unsaturated output currents, proposed index so-called saturation index (SI) is calculated. Unsaturated output current is estimated utilizing least squares (LS) technique. Both Simulation and implementation are conducted in MATLAB software environment. The investigation have been carried out taking different condition such as presence of remnant flux, high-resistance burden and presence of decaying DC component into account. The results demonstrate that the proposed method has pretty good performance under different circumstances. In addition it only utilizes 10 samples (equal to 1/20 cycle) make a decision and as a result it is suitable for real-time application.
机译：本文提出了一种统计基于电流变压器饱和检测的方法。该方法简单地检测并确定实时起始和结束的饱和点，是基于基于相关的相关特征选择的新配方。这种方法对嘈杂的情况具有免疫力。基于饱和和不饱和输出电流的相似性，计算所谓的指数所谓的饱和指数（Si）。利用最小二乘（LS）技术估计不饱和输出电流。仿真和实现都在MATLAB软件环境中进行。研究已经进行了不同的条件，例如存在残余通量，高阻负荷和衰减直流组分的存在。结果表明，该方法在不同情况下具有良好的性能。此外，它仅利用10个样本（等于1/20周期）作出决定，因此它适用于实时应用。

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