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Compared with relational database (RDB), graph database (GDB) is a moreintuitive expression of the real world. Each node in the GDB is a both storageand logic unit. Since it is connected to its neighboring nodes through edges,and its neighboring information could be easily obtained in one-step graphtraversal. It is able to conduct local computation independently and all nodescan do their local work in parallel. Then the whole system can be maximallyanalyzed and assessed in parallel to largely improve the computationperformance without sacrificing the precision of final results. This paperfirstly introduces graph database, power system graph modeling and potentialgraph computing applications in power systems. Two iterative methods based ongraph database and PageRank are presented and their convergence are discussed.Vertex contraction is proposed to improve the performance by eliminatingzero-impedance branch. A combination of the two iterative methods is proposedto make use of their advantages. Testing results based on a provincial 1425-bussystem demonstrate that the proposed comprehensive approach is a good candidatefor power flow analysis.

Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach