Electric Power ›› 2022, Vol. 55 ›› Issue (1): 119-125,228.DOI: 10.11930/j.issn.1004-9649.202107093

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SHACL-Based Validation Method of Knowledge Graph for Power System Model

LI Xiaolu1, ZUO Xuan1, LIU Riliang2, LU Yiming3, LI Congli4, LIN Shunfu1   

  1. 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    2. State Grid Corporation of China, Beijing 100031, China;
    3. State Grid Shanghai Energy Interconnection Research Institute, Shanghai 201210, China;
    4. State Grid Tianjin Electric Power Company, Tianjin 300010, China
  • Received:2021-07-21 Revised:2021-12-08 Online:2022-01-28 Published:2022-01-20
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research on Boundary Modeling for Electricity Marketing Management System, Distribution Management System and Energy Management System and Information Model Conformance Testing Technology, No.SGTJDK00 DWJS1900100) and National Natural Science Foundation of China (Coordinated Control Method for Aggregated Multiple Controllable Loads to Promote Flexible Consumption of Renewable Energy, No.51977127).

Abstract: With the expansion of the power grid and the high penetration of distributed energy resources, the power system analysis and decision-making have put forward higher requirements for comprehensive and accurate power grid models. With respect to frequent version updates of the Common Information Model (CIM) on which the exchange model depends, the inevitable self-defined extension of CIM, and the dynamic evolution of model quality requirements, a method for validating the knowledge graph of the power system model based on the shapes constraint language (SHACL) is proposed. The CIM-based concept graph and entity graph of the power system model are established, the CIM schema consistency shapes, and the cross-class and cross-property consistency shapes based on simple protocol and RDF query language (SPARQL) for validating the power system model are designed. The SHACL-based knowledge graph validation for the power system model does not need to hard-code the validation rules, and then the flexibility of power system model quality validation can be improved and the dynamic evolution of model quality requirements can be satisfied.

Key words: power system model, common information model, knowledge graph, model validation, shapes constraint language