基于时域变换特性分析的电能质量扰动分类方法

在分析电能质量扰动Clarke变换和Park变换特性的基础上,提取了扰动的四个特征量,并利用这些特征量对5种单一扰动和6种混合扰动进行了较为准确的分类,且算法简单,易于硬件实现,并可以作为电量参数分析和评估的基础。最后,对提出的扰动分类方法进行了仿真分析,仿真结果表明,提出的特征量及分类方法准确、有效和误判率低,识别混合扰动效果较好。

A Power Quality Disturbance Classification Method Based on Time Domain Transform Characteristic Analysis

This paper analyzes the Clarke transform and Park transform of power quality disturbances and then proposes four characteristic indexes which can be used to classify 5 single disturbances and 6 mixed disturbances exactly. The algorithm is simple and easy to be implemented by hardware. It can also be the basis of power quality index analysis and evaluation. At last, this paper simulates the disturbance classification method, and the result indicates that the classification method proposed by this paper is exact, efficiency, and the misjudge rate is low. It is also good at classifying mixed disturbance.