Research Summary of Power Quality Disturbance Detection and Classification Recognition Method Based on Transform Domain

Qu Li-ping, He Chang-Long, Zhang Jie
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引用次数: 1

Abstract

With the diversification of power connection forms and increasing types of loads, the power quality of the power system is deteriorating. Various indicators of power quality are essential for the normal operation of the power grid, especially the increasing harmonic pollution caused by various nonlinear loads. Therefore, power quality disturbance detection and classification recognition is the key to improve power quality. This article combines the current domestic and foreign power quality related standards, summarizes the feature extraction of electric energy quality disturbance based on transform domain, meanwhile recognize and classify the extracted feature vectors.
基于变换域的电能质量扰动检测与分类识别方法研究综述
随着电力连接形式的多样化和负荷类型的增加,电力系统的电能质量日益恶化。电能质量的各项指标对电网的正常运行至关重要,特别是各种非线性负荷引起的谐波污染日益严重。因此,电能质量干扰检测与分类识别是提高电能质量的关键。本文结合目前国内外电能质量相关标准,总结了基于变换域的电能质量扰动特征提取,并对提取的特征向量进行了识别和分类。
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