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A new technique based on genetic algorithms for tracking of power system harmonics

机译:一种基于遗传算法跟踪电力系统谐波的新技术

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Voltage and current waveforms of a distribution or a transmission system are not pure sinusoids. There are distortions in these waveforms that consist of a combination of the fundamental frequency, harmonics and high frequency transients. This work presents an approach of a harmonic identification method for distorted waveforms in Electric Power Systems. The proposed method is based on a Genetic Algorithm, which is a technique for optimization inspired by genetics and natural evolution. The proposed algorithm was tested with simulated data. The effect of the size of the initial population, the crossover rate and the mutation rate were studied. The results demonstrate that the method presented is precise if compared with the traditional Fourier Transform.
机译:分布的电压和电流波形或传输系统不是纯正弦曲线。这些波形中存在扭曲,该波形包括基频,谐波和高频瞬变的组合。该工作提出了一种方法对电力系统中的扭曲波形的谐波识别方法。该方法基于遗传算法,是一种由遗传学和自然演进的优化的技术。使用模拟数据测试所提出的算法。研究了初始群体的效果,交叉率和突变率。结果表明,与传统的傅里叶变换相比,所呈现的方法是精确的。

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