Abstract：In order to adapt to the development of artificial intelligence technology, solve the problem of insufficient number of simulation samples for DC system faults, and significantly improve simulation speed and accuracy, this paper proposes a DC system fault sample library construction method based on automated testing technology. Taking the Ximeng-Taizhou DC project as an example, a DC system fault sample library is constructed. Firstly, a high-precision simulation model of Ximeng- Taizhou DC project is established, and the DC fault zoning and fault characteristic quantity are studied. Then, a large amount of fault simulation data is generated by using automatic test generation technology to form a fault sample library. Finally, the accuracy and effectiveness of the waveform of the sample library are verified by comparative experiments.
李艳梅, 魏巍, 肖龙, 鲁庆华, 张艳浩. 基于自动化试验技术的直流系统故障样本库构建方法[J]. 电气技术, 2023, 24(8): 82-86.
LI Yanmei, WEI Wei, XIAO Long, LU Qinghua, ZHANG Yanhao. Construction method of DC system fault sample library based on automated testing technology. Electrical Engineering, 2023, 24(8): 82-86.
2023, Vol. 24 
