Research on the fault detection and automatic repair method of electric power system based on artificial intelligence
With the global industrialization and modernization, the power system has become the core part of modern social life. In this paper, RNN network model is used to build an advanced power system fault detection system, and the automatic repair strategy is realized combined with reinforcement learning. The aim is to provide a more robust, fast and adaptive fault response mechanism for the electric power system. The experiment has proved that the proposed method has made some progress in the automation and intelligent fault diagnosis and repair of the power system.
Authors
- Wei‐Min Liu (ORCID: https://orcid.org/0000-0002-3617-1739)
- Yue Qi (ORCID: https://orcid.org/0000-0001-9571-4724)
Institutions
- Shandong Institute of Commerce & Technology (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/cnteie66268.2024.00007
- Primary Topic
- Engineering Diagnostics and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00