Research on Fault Predition and Self-healing Control Technology of Distribution Network

Conference: ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology
03/25/2022 - 03/27/2022 at Kunming, China

Proceedings: ECITech 2022

Pages: 5Language: englishTyp: PDF

Authors:
Wang, Qiwei (School of Control and Computer Engineering, North China Electric Power University (Baoding), Baoding City, Hebei Province, China)

Abstract:
In recent years, with the improvement of reliability requirements for distribution network, intelligent distribution network control technology develops rapidly. In this paper, a soft self-healing control scheme for distribution network faults is proposed. The intelligent algorithm based on LITF-LSTM is used to predict faults, and the actual power network can isolate faults in advance according to the predicted results. The comparison between soft self-healing scheme and hard self-healing scheme proves that soft self-healing control has more important significance for ensuring power supply quality and building smart power grid.