配电网电能质量的分类与识别

Peng Zhang, Q. Feng, Ran Chen, Dalong Wang, Lijia Ren
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引用次数: 2

摘要

电网大容量专线用户存在大量电能质量问题。电能质量监测数据呈现出大量的不规则特征。直接通过测量信号获得的信号样本包含了大量复杂无用的信息,不能用于特殊负载电能质量的类型识别。针对这一问题,本文提出了一种基于S变换和支持向量机(SVM)的特殊负载电能质量扰动类型识别方法。仿真和实际数据实验表明,该方法能够准确识别电能质量,对掌握电能质量特征,对电能质量的监督、分析和管理具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification and Identification of Power Quality in Distribution Network
There are a large number of power quality problems with large-capacity dedicated line users of the power grid. The monitoring data of power quality presents a large number of irregular characteristics. The signal samples obtained directly by measuring the signals contain a lot of complicated and useless information, and cannot be used for the type identification of special load power quality. Regarding this problem, this paper proposes a method for identifying the type of power quality disturbances with special loads based on S transform and support vector machine (SVM). Simulation and actual data experiments show that the method can accurately identify, and it is of great significance for grasping the features of power quality, as well as useful for the supervision, analysis and management of power quality.
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