Details

Autor(en) / Beteiligte

• Yang, Guang
• Liu, Keyue
• Yu, Hanshen
• Li, Chunbo
• Zeng, Ming

Titel

Examination and Repair of Technology of Equipment Status Based on SNN in Intelligent Substation

Ist Teil von

• Journal of physics. Conference series, 2023-12, Vol.2666 (1), p.12037

Ort / Verlag

Bristol: IOP Publishing

Erscheinungsjahr

2023

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Abstract Aiming at the problems of poor accuracy and low reliability in equipment evaluation and decision results of examination and repair (E&R) for the traditional power system (P-S) state, an E&R technology of intelligent substation (INSU) equipment state based on SNN is proposed. Firstly, based on the operational status of devices and systems in the intelligent substation (INSU), the E&R risks of devices and systems in INSU are evaluated through analysis of device availability. Then, by analyzing traditional CNN and improved SNN networks, a P-S state E&R model for power equipment detection based on SNN is proposed. Finally, a simulation experiment was conducted to compare and analyze the proposed SNN-based INSU device state E&R model with other methods. The results show that the proposed method has a lower system risk in the E&R process and is superior to other comparison methods.