Cloud-end collaborative system and method for load identification

US11841387B2 · kind B2 · utility

Assignees

• CHINA ELECTRIC POWER RESEARCH INSTITUTE · CN
• State Grid Corporation of China · CN

Inventors

• Xingqi Liu · Beijing, CN
• Enguo Zhu · Beijing, CN
• Heping Zou · Beijing, CN
• Fantao Lin · Beijing, CN
• Min Lei · Hengyang, CN
• Yinghui Xu · Hangzhou City, CN
• Hao Chen · San Bruno, US
• Zhongxing Wu · Beijing, CN
• Yupeng Zhang · Beijing, CN
• Zixu Zhu · Beijing, CN
• Yue Han · Chengdu, CN

Key dates

• Filing date: Jan 29, 2022
• Grant date: Dec 12, 2023
• Expiry date: Jan 29, 2042

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y04S10/50
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A system for load identification in collaboration with a cloud end includes: a smart Internet of Things electricity meter module, used for matching extracted feature quantity data with a first load feature library of the smart Internet of Things electricity meter module, and determining load feature data corresponding to unmatched feature quantity data in the feature quantity data as target load feature data; a use information front-end/acquisition module, used for calling the target load feature data and transmitting the target load feature data to a main station load identification module; and a main station load identification module, used for receiving the target load feature data, performing data direction processing on the target load feature data, determining an optimal matching strategy matching the feature data to be identified, and identifying an optimal matching solution corresponding to the feature quantity data to be identified in a second load feature library.