基于多维相似度优化与XSLT的智能变电站模型转换方法

石恒初; 杨桥伟; 游昊; 许守东; 陈晓帆; 虎啸

doi:10.11930/j.issn.1004-9649.202510087

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基于多维相似度优化与XSLT的智能变电站模型转换方法

智能-绿色-韧性：面向2035的新型电力系统技术与市场融合 | 更新时间：2026-07-01

- 基于多维相似度优化与XSLT的智能变电站模型转换方法
- Intelligent substation model conversion method based on multi-dimensional similarity optimization and XSLT
- 中国电力 2026年59卷第6期页码：37-47
- 作者机构：
  
  1. 云南电网有限责任公司,云南,昆明,650011
  2. 云南电网有限责任公司电力科学研究院,云南,昆明,650217
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（52077120）;云南电网有限责任公司科技项目（YNKJXM20240220）。
- DOI：10.11930/j.issn.1004-9649.202510087
  中图分类号：
- 网络首发：2026-06-22，
  
  纸质出版：2026
- 稿件说明：
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石恒初, 杨桥伟, 游昊, 许守东, 陈晓帆, 虎啸. 基于多维相似度优化与XSLT的智能变电站模型转换方法[J]. 中国电力, 2026, 59(6): 37-47.

SHI Hengchu, YANG Qiaowei, YOU Hao, et al. Intelligent substation model conversion method based on multi-dimensional similarity optimization and XSLT[J]. 2026, 59(6): 37-47.
石恒初, 杨桥伟, 游昊, 许守东, 陈晓帆, 虎啸. 基于多维相似度优化与XSLT的智能变电站模型转换方法[J]. 中国电力, 2026, 59(6): 37-47. DOI： 10.11930/j.issn.1004-9649.202510087.

SHI Hengchu, YANG Qiaowei, YOU Hao, et al. Intelligent substation model conversion method based on multi-dimensional similarity optimization and XSLT[J]. 2026, 59(6): 37-47. DOI： 10.11930/j.issn.1004-9649.202510087.

摘要

为适应智能变电站深度建设对信息互联互通提出的更高要求，如何解决因设备厂商技术路线分化、拓扑配置差异导致的IEC 61850变电站配置描述（substation configuration description，SCD）模型异构问题，已成为当前智能变电站发展的关键瓶颈。为解决该语义冲突与转换低效难题，提出一种基于多维相似度优化与可扩展样式表语言转换（XSL transformations，XSLT）的模型转换方法。首先，通过统一建模语言（unified modeling language，UML）与网络本体语言（web ontology language，OWL）协同映射实现公共信息模型（common information model，CIM）的本体解析；进而，提出综合语法、语义与结构三维特征的节点相似度计算模型，并引入

值优化确定最优权重与匹配阈值，实现从CIM到IEC 61850模型的精准映射；最终，基于映射关系自动生成XSLT脚本，结合Dom4j工具库完成SCD文件的自动化转换与语义适配。仿真结果表明，该方法在完整保留源模型设备与拓扑信息的前提下，转换耗时仅3.2 s，效率较人工方式提升96%以上，为智能变电站多级集成与电网协同运行提供了可靠的技术支撑。

Abstract

In order to meet the higher requirements of information interconnection put forward by the in-depth construction of intelligent substations

it has become a key bottleneck in the development of intelligent substations to solve the heterogeneous problem of IEC 61850 substation configuration description (SCD) models caused by the differentiation of technical routes and topological configurations of equipment manufacturers. In order to solve the problem of semantic conflict and inefficient transformation

a model transformation method based on multi-dimensional similarity optimization and extensible style sheet language transformations (XSLT) is proposed. Firstly

the ontology parsing of the common information model (CIM) model is realized through the co-mapping of unified modeling language (UML) and web ontology language (OWL). Furthermore

a node similarity calculation model combining syntactic

semantic and structural three-dimensional features is proposed

and the

-value optimization is introduced to determine the optimal weight and matching threshold

so as to realize the accurate mapping from CIM to IEC 61850 model. Finally

the XSLT script is automatically generated based on the mapping relationship

and the automatic conversion and semantic adaptation of the SCD file are completed by combining the Dom4j tool library. The simulation results show that the proposed method takes only 3.2 seconds to convert under the premise of completely retaining the source model equipment and topology information

and the efficiency is increased by more than 96% compared with the manual method

and provide reliable technical support for the multi-level integration of intelligent substations and the coordinated operation of the power grid.

关键词

Keywords

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