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Paper detail

Parallel Betweenness Computation in Graph Database for Contingency Selection

Parallel betweenness computation algorithms are proposed and implemented in a graph database for power system contingency selection. Principles of the graph database and graph computing are investigated for both node and edge betweenness computation. Experiments on the 118-bus system and a real power system show that speed-up can be achieved for both node and edge betweenness computation while the speeding effect on the latter is more remarkable due to the data retrieving advantages of the graph database on the power network data.

preprint2020arXivOpen access
Yongli ZhuRenchang DaiGuangyi Liu
DatabasesData Structures and AlgorithmsDistributed, Parallel, and Cluster Computing
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Yongli ZhuRenchang DaiGuangyi Liu

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