基金项目:南方电网公司科技项目(010900KK52200010).Project Supported by the Science and Technology Project of China Southern Power Grid Corporation 国家重点研发计划(2021YFB2401705)Project Supported by the National Key R D Program of China
With the rapid development of novel power systems mainly based on new energy sources, power construction in China is facing new challenges. The converter station equipment is complex and diverse, while the manual operation and maintenance is inefficient and risky. The purpose of this paper is to achieve reliable, accurate and efficient human-machine collaboration in intelligent converter stations and to establish a novel power system with extensive interconnection, intelligent interaction and safety control. In this paper, a data-driven human-computer interaction assistance system for abnormality disposal in converter stations is developed. Based on the sensing devices in the converter station, the equipment operation data can be monitored, and the abnormal equipment can be inspected by linkage regulation of the intelligent equipment. Furthermore, the type and scope of faults are intelligently analyzed using graphical neural networks, and intelligent auxiliary strategies are developed through knowledge mapping technology to issue corresponding fault disposal tasks to staff in different roles. This research presents a foundation for the establishment of digital converter stations and can provide effective guidance for the construction of smart grids.