基于有效数据段选取的多谐波源责任划分方法

发布时间：2018-01-13 21:41

本文关键词：基于有效数据段选取的多谐波源责任划分方法　出处：《电网技术》2017年06期 　论文类型：期刊论文

【摘要】：针对多谐波源谐波责任划分时存在的可获得测试样本有限的不足,提出一种基于选择有效数据段的多谐波源谐波责任划分方法,在有效数据段内,只有一个谐波源负荷变化而其他谐波源负荷基本保持稳定。采用改进的k-means聚类方法,对要计算谐波贡献的谐波源以外的各谐波源谐波电流进行阶梯式的聚类处理,最终划分成多个有效数据集合。然后利用偏最小二乘法估计各数据集合对应的谐波源谐波责任,并加权求和所有集合的谐波责任作为关注时间段总的谐波责任。该方法克服了传统数据选择法难以获得有效时间段的缺点。为验证方法的有效性,在IEEE 14节点标准配电网络上进行仿真分析,结果表明,所提方法能有效解决数据段选择问题,并且优于传统数据选择方法。
[Abstract]:In view of the limitation of available test samples in the division of harmonic responsibility for multi-harmonic sources, a method of harmonic responsibility division for multi-harmonic sources based on the selection of effective data segments is proposed, which is within the effective data segment. Only one harmonic source load changes while the other harmonic source load is basically stable. An improved k-means clustering method is adopted. The harmonic current of each harmonic source other than the harmonic source to be calculated is treated by step clustering. Finally, it is divided into several effective data sets, and then the harmonic responsibility of harmonic sources corresponding to each data set is estimated by partial least square method. And weighted summation of all sets of harmonic responsibility as the total harmonic responsibility of the concerned period. This method overcomes the shortcomings of the traditional data selection method which is difficult to obtain the effective time period to verify the effectiveness of the method. The simulation results on IEEE 14-bus standard distribution network show that the proposed method can effectively solve the problem of data segment selection and is superior to the traditional data selection method.
【作者单位】：四川大学电气信息学院;国网福建省电力有限公司电力科学研究院;
【分类号】：TM711
【正文快照】： 方法;聚类0引言近年来,电能质量问题越来越受到人们的重视。随着电网的快速发展,电力电子设备、电弧炉、太阳能发电、光伏发电装置等非线性元件大量接入电网,使电力系统谐波污染问题越来越突出[1]。为避免电能质量纠纷,有效抑制电网中的谐波,国际上提出了“奖惩性”监管方案[2

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