Alarm Correlation Analysis Method for Smart Power Distribution and Utilization Communication Network Based on Bayesian Networks

DOI

10.2991/fmsmt-17.2017.247How to use a DOI?

Keywords

Electric power communication network, Bayesian network, alarm correlation

Abstract

With the rapid development of smart grid, the alarm management method used in the existing smart power communication network cannot meet the logical requirements of the new business in the network. So this paper introduces an alarm correlation analysis method based on Bayesian network. Firstly, the structure, training method and the learning mode of Bias network are analyzed, and the method of parameter learning is given, structure learning and updating learning of Bayesian network is proposed. Secondly, this paper models smart power distribution network fault and alarm, give the process of analysis, and describes each stage of the Bayesian model. Finally, the high efficiency and reliability of the application of Bayesian network in smart power distribution communication network alarm correlation analysis is verified by the simulation experiment which using JAVA language simulates application scenarios. The experimental results show the superiority of the proposed method.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Wei
AU  - Min Lu
AU  - Hong Zhu
AU  - Liqian Sun
PY  - 2017/04
DA  - 2017/04
TI  - Alarm Correlation Analysis Method for Smart Power Distribution and Utilization Communication Network Based on Bayesian Networks
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1259
EP  - 1264
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.247
DO  - 10.2991/fmsmt-17.2017.247
ID  - Wei2017/04
ER  -