Analysis and Design of Power System Transformer Standard Based on Knowledge Graph

• Published in: EAI endorsed transactions on scalable information systems p. e9
• Main Authors: Zhou, Yuzhong, Lin, Zhengping, La, Yuan, Huang, Junkai, Wang, Xin
• Format: Journal Article
• Language: English
• Published: 01.01.2023
• ISSN: 2032-9407; 2032-9407
• DOI: 10.4108/eetsis.v9i6.2642

The transformer can convert one kind of electric energy such as AC current and AC voltage into another kind of electric energy with the same frequency. Knowledge graph (KG) can describe various entities and concepts in the real world and their relationships, and it can be considered as a semantic network for power system transformer. Hence, it is of vital importance to analyze and design the power system transformer standard based on the knowledge graph. To this end, we firstly examine the power system transformer with one KG node and one eavesdropper E, where the eavesdropper E can overhear the network from the source, which may cause physical-layer secure issue and an outage probability event. To deal with the issue, we analyze and design the system secure performance under the eavesdropper and define the outage probability for system security, by providing analytical expression of outage probability. We further investigate the power system transformer with multiple KG nodes which can help strengthen the system security and reliability. For such a system, we analyze and design the system secure performance under the eavesdropper and define the outage probability for system security, by providing analytical expression of outage probability. Finally, we give some simulations to analyze the impact of secure transformer standard on the power system, and verify the accuracy of our proposed analytical expression for the the power system transformer standard based on the knowledge graph.