Topology Modeling and Analysis of a Power Grid Network Using a Graph Database

DOI

10.2991/ijcis.10.1.96How to use a DOI?

Keywords

Graph Database; Conditional Search; Shortest Path; Neo4j; Power Grid Network; Topological Analysis

Abstract

We introduce a new method for storing, modeling, and analyzing power grid data. First, we present an architecture for building the network model for a power grid using the open source graph database Neo4j. Second, we design single- and multi-threading systems for initial energization analysis of the power grid network. We design the shortest path search function and conditional search function based on Neo4j. Finally, we compare the functionality and efficiency of our graph database with a traditional relational database in system initial energization analysis and the shortest path function problems on small to large data sets. The results demonstrate the efficiency and effectiveness of topology modeling and analysis using graph database for a power grid network.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

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

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TY  - JOUR
AU  - Bowen Kan
AU  - Wendong Zhu
AU  - Guangyi Liu
AU  - Xi Chen
AU  - Di Shi
AU  - Weiqing Yu
PY  - 2017
DA  - 2017/09/14
TI  - Topology Modeling and Analysis of a Power Grid Network Using a Graph Database
JO  - International Journal of Computational Intelligence Systems
SP  - 1355
EP  - 1363
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.10.1.96
DO  - 10.2991/ijcis.10.1.96
ID  - Kan2017
ER  -