李晓露, 左璇, 刘日亮, 陆一鸣, 李聪利, 林顺富. 基于形状约束语言的电网模型知识图谱验证方法[J]. 中国电力, 2022, 55(1): 119-125, 228. DOI: 10.11930/j.issn.1004-9649.202107093
引用本文: 李晓露, 左璇, 刘日亮, 陆一鸣, 李聪利, 林顺富. 基于形状约束语言的电网模型知识图谱验证方法[J]. 中国电力, 2022, 55(1): 119-125, 228. DOI: 10.11930/j.issn.1004-9649.202107093
LI Xiaolu, ZUO Xuan, LIU Riliang, LU Yiming, LI Congli, LIN Shunfu. SHACL-Based Validation Method of Knowledge Graph for Power System Model[J]. Electric Power, 2022, 55(1): 119-125, 228. DOI: 10.11930/j.issn.1004-9649.202107093
Citation: LI Xiaolu, ZUO Xuan, LIU Riliang, LU Yiming, LI Congli, LIN Shunfu. SHACL-Based Validation Method of Knowledge Graph for Power System Model[J]. Electric Power, 2022, 55(1): 119-125, 228. DOI: 10.11930/j.issn.1004-9649.202107093

基于形状约束语言的电网模型知识图谱验证方法

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

  • 摘要: 随着电网规模的扩大、分布式能源的高比例渗透,电网分析决策对电网模型的全面性和准确性提出了更高的要求。针对交换模型所依赖的公共信息模型(common information model, CIM)存在版本变化频繁、自定义扩展不可避免以及模型质量要求动态演化的问题,提出基于形状约束语言(shapes constraint language, SHACL)的电网模型知识图谱验证方法。基于CIM构建电网模型的概念图谱和实体图谱,设计了电网模型验证的CIM模式一致性形状和基于简单协议和资源描述框架查询语言(simple protocol and RDF query language,SPARQL)的跨类、跨属性一致性形状。基于SHACL的电网模型知识图谱验证方法无需对验证规则进行硬编码,提升了电网模型质量验证的灵活性,满足应用对模型质量要求的动态演化。

     

    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.

     

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