Research Article
Performance Analysis and Research of Knowledge Sharing System for Power Grid Networks
@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
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.
Copyright © 2023 Yuzhong Zhou et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.