Digital twin-empowered fault sensing method for electric power optical communication network

Zhongmiao Kang; Zhengfeng Zhang; Yijie Li; Zanhong Wu

doi:10.1117/12.2673070

25 April 2023 Digital twin-empowered fault sensing method for electric power optical communication network

Zhongmiao Kang, Zhengfeng Zhang, Yijie Li, Zanhong Wu

Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 125982T (2023) https://doi.org/10.1117/12.2673070
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China

Abstract

With the development of new power system, the scale of Electric Power Optical Communication Network (EPOCN) is growing, and the instability of the network has increased. Therefore, accurate network fault sensing has become the key to maintain the safe and reliable operation of EPOCN. This paper proposes a fault sensing method for EPOCN based on digital twin. First, we propose a digital twin based EPOCN architecture. On this basis, a fault sensing scoring method of EPOCN based on Digital Twin-empowered Fuzzy Analytic Hierarchy Process (DT-FAHP) is proposed, and the operation status of EPOCN is evaluated by scoring. A digital twin model is established by uploading the reliable operation data to the electric power optical communication digital twin network, and the fault warning of EPOCN is realized with the help of the digital twin model. Finally, an example is given to verify the superiority of the proposed method in the processing of fault sensing indicators.

Citation Download Citation

Zhongmiao Kang, Zhengfeng Zhang, Yijie Li, and Zanhong Wu "Digital twin-empowered fault sensing method for electric power optical communication network", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 125982T (25 April 2023); https://doi.org/10.1117/12.2673070

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