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

Yuzhong Zhou; Jiahao Shi; Yuliang Yang; Zhengping Lin

doi:10.4108/eetsis.v10i3.3098

Authors

Yuzhong Zhou Research Institute of China Southern Power Grid, Guangzhou, China
Jiahao Shi Research Institute of China Southern Power Grid, Guangzhou, China
Yuliang Yang Research Institute of China Southern Power Grid, Guangzhou, China
Zhengping Lin Research Institute of China Southern Power Grid, Guangzhou, China

DOI:

https://doi.org/10.4108/eetsis.v10i3.3098

Keywords:

Performance analysis, knowledge sharing, power grid networks, outage probability

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.

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