Abnormality detection method for energy storage data of energy storage power station

• Main Authors: HU SHUNQUAN, JIANG HAILONG, XUE ZHAOYUAN, ZHANG XUEYUN, CHEN ZAOJUN, XU CHANGHAI, TAN TONG
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; 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 data processing, in particular to an anomaly detection method for energy storage data of an energy storage power station. According to the method, a key energy storage matrix is constructed by obtaining time series data of energy storage parameters, suspected abnormal data are screened out through the key energy storage matrix, distribution characteristics of the suspected abnormal data and non-suspected abnormal data are analyzed, and a distribution deviation index is obtained; obtaining a local data distribution index according to the local distribution characteristics of the suspected abnormal data local data; obtaining a data change index according to the data value change difference of the suspected abnormal data neighborhood data, constructing an abnormal data detection model according to the distribution deviation index, the local data distribution index and the data change index, obtaining real abnormal data, and judging the abnormal condition of the ene