Branch line distribution transformer load level prediction method based on user side intelligent electric meter data

• Main Authors: KIM RI IN, YE YINGQIAO, STIER, WEN ZUOREN, ZHOU YUXIAO, REN ZHILI, PAN PENG, CHEN ZHI, ZHAO JIAN, GU YU, LI JING, LIN JIAN
• Format: Patent
• Language: Chinese; English
• Published: 10.01.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to a branch line distribution transformer load level prediction method based on user-side intelligent electric meter data, and the method comprises the steps: calculating the reactive power and line loss of a branch through a power flow relation of a power distribution network, and designing an algorithm for estimating a reactive load based on the intelligent electric meter data; the distribution characteristics of three-phase source loads of the power distribution network are judged according to data collected by an electric meter, branch power flow fixed-point iterative calculation is carried out in combination with new energy output data and network topology, and accurate three-phase reactive load data are obtained when a voltage difference value obtained through iteration is within a preset range; for a power distribution network with three-phase source loads distributed asymmetrically, a line charging effect is further considered; evaluating the load level of the branch line distrib