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

Konferenz: ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology
25.03.2022 - 27.03.2022 in Kunming, China

Tagungsband: ECITech 2022

Seiten: 5Sprache: EnglischTyp: PDF

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

Inhalt:
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.