Power distribution network line loss abnormity intelligent analysis method

The invention relates to a power distribution network line loss abnormity intelligent analysis method. The method comprises the steps of S1, obtaining distribution transformer standing book data of power supply of a power distribution network line; S2, acquiring electric quantity data of a distribut...

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Bibliographische Detailangaben
Hauptverfasser:	HE YAN, YAN ZHOUYU, TANG ZHIRUI, WU HAIJIANG, TANG HE, YANG ZHONGFAN, QIU WENJUN, QIU GUIHUA, KUANG ZIJIA, CHEN QINGHUI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING
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Beschreibung
Zusammenfassung:	The invention relates to a power distribution network line loss abnormity intelligent analysis method. The method comprises the steps of S1, obtaining distribution transformer standing book data of power supply of a power distribution network line; S2, acquiring electric quantity data of a distribution transformer and supply end electric quantity data of a distribution network line; S3, performingdistribution network line loss calculation according to the distribution network line electric quantity data in the S2 and the electric quantity data of the distribution transformer; S4, carrying outthe intelligent analysis of the loss abnormality, and giving an abnormality reason analysis result; and S5, carrying out analytical statistics on the distribution network line loss abnormal condition, outputting the distribution network line loss condition of the whole power supply enterprise, and providing support for distribution network line loss management. The power distribution network lineloss abnormity intelligent