Fault Range Analysis of Information and Communications Assets in Power Grid: A Graph Data Perspective

DOI

10.2991/ammsa-17.2017.34How to use a DOI?

Keywords

graph data; fault range analysis; Neo4j; breadth-first search

Abstract

In this paper, information and communication assets in the power grid are modeled as graph data. A graph database, Neo4j, is chosen to capturing the connections that could help to analyze fault ranges. Based on breadth-first search, recursion terminations are designed to obtain the fault range from the failed nodes. Two cases are given in the paper, and more cases will be further considered in the future work. In final, we provide the analysis results and shows the advantage of graph databases.

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  - Bo Chai
AU  - Siyan Liu
AU  - Jiangpeng Dai
AU  - Ting Zhao
AU  - Aihua Zhou
AU  - Kunlun Gao
PY  - 2017/05
DA  - 2017/05
TI  - Fault Range Analysis of Information and Communications Assets in Power Grid: A Graph Data Perspective
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 162
EP  - 165
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.34
DO  - 10.2991/ammsa-17.2017.34
ID  - Chai2017/05
ER  -