Topology Modeling and Analysis of a Power Grid Network Using a Graph Database
- https://doi.org/10.2991/ijcis.10.1.96How to use a DOI?
- Graph Database; Conditional Search; Shortest Path; Neo4j; Power Grid Network; Topological Analysis
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/ijcis.10.1.96 ID - Kan2017 ER -