Year: 2024
Type: article
Abstract: This paper proposes a fault prediction method based on disaster meteorology and real-time monitoring of power grid faults, to provide important data support for early warning and emergency start and on-site emergency repair of power grid companies. When there is ice, wildfire, flood, typhoon and other disasters, the probability of power grid failure will greatly increase. Through the previous historical data analysis, predict the scale of power grid failure and main areas, so as to prepare corresponding materials and personnel. When disaster weather occurs, monitor all kinds of power grid fault signals in real time, conduct power grid fault analysis, real-time analysis of power grid fault and the affected lines, transformers, communities, users and other data, grasp the latest state of power grid fault, and then provide important data support for emergency rescue.
Authors: Xinbo Guo, Liqing Shi, Rui Kang, Jun Wang, Yitian Liu
Institution: NARI Group (China)
Language: English
Topic: Smart Grid and Power Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405730097