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Compared with traditional relational database, graph database, GDB, is anatural expression of most real-world systems. Each node in the GDB is not onlya storage unit, but also a logic operation unit to implement local computationin parallel. This paper firstly explores the feasibility of power systemmodeling using GDB. Then a brief introduction of the PageRank algorithm and thefeasibility analysis of its application in GDB are presented. Then the proposedGDB based bilevel PageRank algorithm is developed from PageRank algorithm andGauss Seidel methodology realize high performance parallel computation. MP10790 case, and its extensions, MP 107900 and MP 1079000, are tested to verifythe proposed method and investigate its parallelism in GDB. Besides, aprovincial system, FJ case which include 1425 buses and 1922 branches, is alsoincluded in the case study to further prove the proposed algorithmeffectiveness in real world.

Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database