首页> 外文会议>Chaos-Fractals Theories and Applications, 2009. IWCFTA '09 >Typical Power Quality Disturbance Identification Based on Fractal Box Dimension
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Typical Power Quality Disturbance Identification Based on Fractal Box Dimension

机译:基于分形盒维的典型电能质量扰动识别

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Power quality disturbance (PQD) identification is an important technology in power system especially when power market is realized. The producers of PQD are different which result in the difference of abnormity and complexity. Fractal dimension is a mean to characterize the abnormity and complexity of PQD and it is potential for PQD identification. Traditional fractal box counting dimension is based on the square which confuses the coordinate physical meaning in application. The dual-scale fractal box counting dimension is based on the rectangle in which time and range of PQD are included. The formulae for fractal scaleless range is developed based on the periodic or quasi-periodic characteristic of PQD. The formulae are tested by simple waveform and proved effective. Fractal box counting dimension of typical PQD depict the PQDs well especially in identification. The proposed method is a new time-based approach for PQD analysis.
机译:电能质量扰动(PQD)识别是电力系统中的一项重要技术,尤其是在实现电力市场时。 PQD的生产者不同,导致异常和复杂性的差异。分形维数是表征PQD异常和复杂性的手段,对于PQD识别具有潜在的意义。传统的分形盒计数尺寸是基于正方形,在应用中混淆了坐标的物理意义。双刻度分形盒计数维基于包含PQD的时间和范围的矩形。基于PQD的周期性或准周期性特性,提出了分形无标度范围的公式。公式通过简单的波形进行了测试,并证明是有效的。典型PQD的分形盒计数维度很好地描述了PQD,尤其是在识别方面。所提出的方法是一种新的基于时间的PQD分析方法。

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