Automatic generation of substation main wiring data of power grid fault analysis
Yongxu Zhang, Dongying Zhang, Kaiqi Ren, Xiaoyu Li · 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021) · 2021
The current expert system-based power grid fault analysis knowledge model database is difficult to generate, update and maintain, part of the work on the establishment of the substation main wiring information database can still only be done manually by specialized personnel, this method is not only time-consuming, but the accuracy of the database establishment is not high, and it is difficult to correct errors. In response to the above problems, this paper proposes a main wiring information data structure for the model and its automatic generation method, improves the versatility and automation of the power grid fault analysis knowledge model, and reduces the amount of repetitive work in the development process.