sis 23(4): e18

Research Article

Performance Analysis and Research of Knowledge Sharing System for Power Grid Networks

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  • @ARTICLE{10.4108/eetsis.v10i3.3098,
        author={Yuzhong Zhou and Jiahao Shi and Yuliang Yang and Zhengping Lin},
        title={Performance Analysis and Research of Knowledge Sharing System for Power Grid Networks},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={4},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={5},
        keywords={Performance analysis, knowledge sharing, power grid networks, outage probability},
        doi={10.4108/eetsis.v10i3.3098}
    }
    
  • Yuzhong Zhou
    Jiahao Shi
    Yuliang Yang
    Zhengping Lin
    Year: 2023
    Performance Analysis and Research of Knowledge Sharing System for Power Grid Networks
    SIS
    EAI
    DOI: 10.4108/eetsis.v10i3.3098
Yuzhong Zhou1, Jiahao Shi1,*, Yuliang Yang1, Zhengping Lin1
  • 1: Research Institute of China Southern Power Grid, Guangzhou, China
*Contact email: jiahaoshi2023@hotmail.com

Abstract

Knowledge sharing is a critical aspect of machine learning and knowledge management, which also plays an important role in regulating the power grid networks. Hence, it is important to investigate the performance of knowledge sharing in the power grid networks. Motivated by this, we firstly investigate a typical power grid network with a knowledge sharing node, where the transmit power of users is constrained by the knowledge sharing node. We then measure the system performance by evaluating the system outage probability (OP), where the analytical expression of OP is derived in detail. Finally, we present some simulation and numerical results on the OP for the considered power grid networks with knowledge sharing, in order to verify the proposed studies on the OP. In particular, these results show that the knowledge sharing can help enhance the system OP performance efficiently.