Active power distribution network prediction auxiliary robust state estimation method and system

• Main Authors: DING LEI, JIN CHAOYANG, YU YUE
• Format: Patent
• Language: Chinese; English
• Published: 08.12.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; 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 the technical field of prediction auxiliary state estimation, and provides an active power distribution network prediction auxiliary robust state estimation method and system, and the method comprises the steps: traversing all abnormal data, searching a plurality of pieces of measurement data closest to the abnormal data in a data set for the abnormal data, and carrying out the searching of the measurement data; if the number of the normal data in the plurality of closest measurement data is greater than the number of the abnormal data, putting the abnormal data into a danger set; traversing all samples in the dangerous set, for a certain sample, selecting a plurality of abnormal data closest to the sample from all the abnormal data, performing random extraction on the selected abnormal data, generating a new sample based on the randomly extracted abnormal data, adding the new sample into the data set, and performing data extraction on the new sample; and removing normal data in all T