Open AccessA Construction Method of Power Grid Monitoring Knowledge Graph
Author(s) -
Yi Liu,
Xinjian Huang,
Sen Li,
Shang Gao,
Kun Ji,
Huihui Li,
Hanyang Xu
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 - 10.1088/1742-6596/2166/1/012010
Subject(s) - grid , computer science , reliability engineering , smart grid , reliability (semiconductor) , distributed computing , alarm , power grid , electric power system , control (management) , power graph analysis , graph , power (physics) , data mining , real time computing , topology (electrical circuits) , engineering , electrical engineering , artificial intelligence , theoretical computer science , physics , geometry , mathematics , quantum mechanics
Centralized monitoring and integrated intelligent alarm functions have been implemented on the control system of smart power grid, which provides technical support for the judgment and disposal of power grid accident. However, there are still some problems such as lack of systematic analysis tools and cannot realize the correlation of alarms. This paper proposes a power grid accident analysis method based on monitoring information knowledge graph, which is constructed with power grid topology and historical alarm data rules. Using this method, the staff can accurately and quickly judge the power grid accident with the support of grid topology and alarm correlation, so as to improve the efficiency of power grid accident analysis and reliability of power grid control system.