Open AccessRisk Assessment Method of Multi-station Integration Based on Neural Network
Author(s) -
Jianlin Li,
Sijia Wang,
Yiwen Wu,
Wei Zeng,
Yaxin Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2166/1/012048
Subject(s) - artificial neural network , computer science , risk assessment , power station , kalman filter , reliability engineering , electric power system , power (physics) , systems engineering , engineering , artificial intelligence , electrical engineering , computer security , physics , quantum mechanics
In recent years, the safety risk assessment of integrated power station systems has become more important as more and more substations optimize the overall operating effect by increasing energy storage power stations. In this paper, after using the expanded Kalman filtering algorithm, the risk assessment model of the fusion power station is established by the neural network-based method to provide a reference for the engineering construction.