Intelligent Automatical Cleansing Method for Massive Measured Overvoltage DataChinese Full TextEnglish Full Text (MT)
CHEN Qinzhu;ZHANG Han;YIN Jian;YANG Ming;ZHENG Pengcheng;YUAN Tao;ZHAO Hailong;SHUN Potao;SIMA Wenxia;Hainan Power Grid Co.,Ltd.;State Key Laboratory of Power Transmission Equipment & System Security and New Technology,Chongqing University;
Abstract: Overvoltage and its accidents are common,which seriously threatens the stability and reliability of power system.It is necessary for power grid to obtain accurate,high-quality overvoltage data,as is one of the basis for the precisely transient analysis modeling and safe operation of power system.Previously some relevant research has captured a mess of overvoltage data,meanwhile errors or invalid waveforms are incorporated into the overvoltage database,the low quality data results in valueless an... More
Keywords:
measured overvoltage; sparse autoencode; feature extraction; waveform clustering; data cleansing;
- DOI:
10.13296/j.1001-1609.hva.2019.12.034
- Series:
(C) Architecture/ Energy/ Traffic/ Electromechanics, etc
- Subject:
Electric Power Industry
- Classification Code:
TM866
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