報告書番号

W92017

タイトル（和文）

配電系統の故障アーク電圧波形を用いた故障発生機材の判別手法の基礎検討－ニューラルネットワークを用いたアーク電圧波形分類－

タイトル（英文）

INVESTIGATION OF FAULT EQUIPMENT DETECTION USING FAULT ARC VOLTAGE WAVEFORMS ON DISTRIBUTION SYSTEMS -CLASSIFICATION OF FAULT ARC VOLTAGE WAVEFORMS USING ARTIFICIAL NEURAL NETWORK-

概要 （図表や脚注は「報告書全文」に掲載しております）

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概要 （英文）

TRANSMISSION AND DISTRIBUTION SYSTEMS PLAY AN IMPORTANT ROLE IN TRANSMITTING ELECTRIC POWER EFFICIENTLY,SAFELY AND STABLY,FROM POWER STATIONS TO UTILITIES. THEREFORE,WHEN A FAULT OCCURS,IT IS VERY IMPORTANT TO DECREASE THE DAMAGE AND TO RECOVER QUICKLY. WHEN A FAULT OCCURS ON A TRANSMISSION AND DISTRIBUTION SYSTEM DUE TO LIGHTNING OR OVERVOLTAGE,THERE IS OFTEN AN ARC DISCHARGE AT THE FAULT POINT.THE ARC DISCHARGE HAS A HIGH CURRENT,HIGH TEMPERATURE(OVER 5000K),STRONG LIGHT EMISSION ETC.,SO IT SOMETIMES CAUSES SERIOUS DAMAGE TO EQUIPMENT. TO INVESTIGATE THE ARC PHENOMENA IN POWER SYSTEMS,WE CARRIED OUT MANY ARC TESTS USING THE CRIEPI HIGH-POWER TEST FACILITIES. THE TEST DATASHOW THAT THE ARC DISCHARGE IS INFLUENCED BY THE CONDITIONS AROUND THEARC:GAS,INSULATION MATERIALS,GAP LENGTH WEATHER,ETC.(1)(2). THE ARC VOLTAGE ALONG THE ARC COLUMN INDICATES THE CHARACTERISTICS OF.

報告者

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