短时电压振荡下矿区供电变电所电能质量小波暂态扰动检测方法  

Wavelet transient disturbance detection method for power quality of mining electrical substation under short time voltage oscillation

作　　者：庞威 张首军 李开夏 王朝辉 徐勇军 PANG Wei;ZHANG Shoujun;LI Kaixia;WANG Chaohui;XU Yongjun(State Grid Hegang Power Supply Company,Hegang 154100,China)

机构地区：[1]国网鹤岗供电公司,黑龙江鹤岗154100

出　　处：《煤炭工程》2024年第11期165-170,共6页Coal Engineering

摘　　要：短时电压振荡下矿区供电变电所电能质量小波暂态扰动在检测的过程中存在扰乱类型较多和噪声环境复杂的现象,在进行检测的同时需要及时处理噪声信号,导致检测的效率低,效果较差。针对该问题,对矿区供电变电所电能质量小波暂态扰动进行检测,首先对噪声环境进行小波去噪处理,减少外界环境对检测结果的影响;并基于PCA算法对数据降维处理,调整数据暂态形式,建立识别机制,提高检测精度;最终结合去噪的阈值进行内部检测,获取检测数据。根据实验结果可知,该电能质量小波暂态扰动检测方法具有较高的检测精度,与预设参数吻合度较高,检测效果良好。There are many types of disturbances and complex noise environments in the detection process of wavelet transient disturbances in the power quality of mining area power supply substations under short-term voltage oscillations;at the same time,timely processing of noise signals is necessary,resulting in low detection efficiency and poor effectiveness.To address this issue,the detection of transient wavelet disturbances in the power quality of the mining area power supply substation is carried out.Firstly,wavelet denoising was applied to the noisy environment to reduce the impact of the external environment on the detection results.Then,the PCA algorithm was used to reduce the dimensionality of the data,adjust the transient form of the data,establish a recognition mechanism,and improve the detection accuracy.Finally,the denoised threshold was combined for internal detection to obtain detection data.According to the experimental results analysis,the wavelet transient disturbance detection method for power quality has good detection performance,showing high detection accuracy and a high degree of agreement with preset parameters.

关 键 词：短时电压振荡 电能质量小波暂态 小波暂态扰动检测 电能质量检测与识别 

分 类 号：TM930[电气工程—电力电子与电力传动]