基于分形分析的电网谐波特征提取与溯源研究  

Research on Harmonic Feature Extraction and Traceability Based on Fractal Analysis

作　　者：杨帆 马立新[1] YANG Fan;MA Li-xin(School of Optical-electrical and Computer Engineering,University of Shanghai for Science&Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《控制工程》2020年第7期1247-1253,共7页Control Engineering of China

基　　金：上海市张江国家自主创新重点项目(201310-PI-B2-008)。

摘　　要：为了精确可靠的确定电力信号中谐波源的位置,提出了一种基于分形分析的谐波特征提取与溯源方法。该方法主要通过采集电网系统中不同节点的瞬时电流,并以此为数据计算各节点电流信号的分形维数,将分形维数作为电流谐波特征提取出来。通过谐波电流信号的分形维数这一特征量表征信号的复杂程度,对谐波进行溯源。通过多组谐波源仿真实验结果表明,利用分形分析方法来识别电流信号中的谐波源,减少了算法运行过程中的计算量,提高了判断过程的速度和溯源的准确率,该方法具有一定的工程应用价值。In order to accurately and reliably determine the location of the harmonic source in the power signal, a method of harmonic feature extraction and traceability based on fractal analysis is proposed. In this method, the instantaneous current of different nodes in the power grid system is collected, and the fractal dimension of each node is calculated based on the data, and the fractal dimension is extracted as the current harmonic feature. The complexity of the signal is characterized by the fractal dimension of the harmonic current signal, and the harmonics are traceable. The simulation results of several groups of harmonic sources show that, the fractal analysis method is used to identify the harmonic source in the current signal, which reduces the computational complexity during the operation of the algorithm, and improves the speed of the judgment process and the accuracy of traceability, it has engineering application value.

关 键 词：谐波源 分形分析 分形维数 特征提取 溯源 

分 类 号：TM714[电气工程—电力系统及自动化]