Application status and development trends for intelligent perception of distribution network

• Published in: High voltage 2021-12, Vol.6 (6), p.938-954
• Main Authors: Yan, Yingjie, Liu, Yadong, Fang, Jian, Lu, Yuefeng, Jiang, Xiuchen
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Automation; Communication; Communications equipment; Data analysis; Decision making; Digitization; Electric power distribution; Electricity; Electricity distribution; Energy distribution; Energy management; Geographical distribution; Information management; Internet of Things; mobile robots; Network reliability; Parameter identification; Perception; power engineering computing; power grids; Power supply; Sensors; smart power grids; Technology; Trends; Variables
• ISSN: 2397-7264; 2397-7264
• DOI: 10.1049/hve2.12159

Intelligent perception is the cornerstone of digitalisation of power grid. Due to the closest connection with users, the information perception ability of distribution network directly affects the reliability of power supply. Distribution network has a wide range of geographical distribution and equipment types. The application of intelligent perception is with high complexity and dynamics under the limitation of both technology and management. Therefore, the study first sorts out the current application status of intelligent perception technology and equipment in distribution network from three application fields including distribution automation, metering systems, and inspection. Then, the constraints of existing intelligent perception applications and the key points of further research are pointed out. Finally, the development trends of intelligent perception technology in distribution network are presented from the three aspects of basic technology, perception equipment, and advanced applications. With the improvement of sensing, communication, energy acquisition, chips and perception equipments, the depth and breadth of advanced applications in distribution network will be expanded. The research results can provide references for the follow‐up research and practice of intelligent perception in distribution networks.