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Power Grid Modeling and Topology Analysis Based on Graph Database Conforming with CIM/E

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Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 585))

Abstract

The power system is becoming larger and larger, and the operation is more frequent, which puts higher requirements on the real-time performance of analysis and calculation. The graph database is a new type of database that originated from the parallel processing of massive data in the Internet. The data model can visually express the topology of the grid and easily realize parallel traversal query. Firstly, the characteristics of graph database are introduced from the aspects of data model and data query, and the potential advantages of applying it to large-scale power system analysis and calculation are analyzed. Secondly, the design method of power system modeling is presented for satisfying the guidelines of integrity, consistency and efficiency conforming with CIM/E standard. Finally, a parallel power network topology analysis algorithm is implemented based on the graph database model for a provincial grid. The calculation results of the actual large-scale provincial power grid show that the proposed method can significantly improve the topology search efficiency.

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Correspondence to Hua Huang .

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Appendix

Appendix

See Figs. 8 and 9.

Fig. 9
figure 9

Node model graph with beakers and disconnectors described by edges

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Huang, H. et al. (2020). Power Grid Modeling and Topology Analysis Based on Graph Database Conforming with CIM/E. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Lecture Notes in Electrical Engineering, vol 585. Springer, Singapore. https://doi.org/10.1007/978-981-13-9783-7_47

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  • DOI: https://doi.org/10.1007/978-981-13-9783-7_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9782-0

  • Online ISBN: 978-981-13-9783-7

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