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文章摘要
基于电网信息模型数据的新型电力系统三维数字化模型库构建技术研究
Research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data
Received:January 09, 2025  Revised:January 23, 2025
DOI:10.19753/j.issn1001-1390.2026.04.006
中文关键词: 新型电力系统  数字化模型  数据校验  模型解析
英文关键词: novel power system, digital model, data check, model analysis
基金项目:国家电网科技项目(编号(5700-202156170A-0-0-00)
Author NameAffiliationE-mail
SUN Xiaohu* State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China zhangsu1989615@163.com 
ZHANG Su State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China zhangsu1989615@163.com 
ZHANG Yaping State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China zhangsu1989615@163.com 
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中文摘要:
      针对解析方法存在解析数据不全面、解析错误和中间数据结构通用性较低等问题,文中提出了基于电网信息模型数据的三维数字化基础模型库构建技术研究。提出了电网信息模型的数据解析和建模,解析分为基本图元解析和单体模型解析,模型设备经过图元的布尔运算进行组装;针对电网信息模型的多源异构数据,提出并设计了电网信息模型E3M存储格式,对不同场景下存储方案进行了设计;提出了基于设计的电网信息模型的数据模型组装步骤;从国网数字化管理应用系统中随机抽取文件进行了数据格式与内容的正确性、完整性检查等信息的验证,实验结果表明,设计系统能够实现文件信息的正确性高于99.6%,相较于已有检测方法,平均正确率提升了5.7%,实现了模型数据存储管理规范化。
英文摘要:
      In response to the problems of incomplete data parsing, parsing errors, and low universality of intermediate data structures in parsing methods, this paper proposes a research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data. Firstly, the data parsing and modeling of the power grid information model are proposed, which can be divided into basic graphical element parsing and individual model parsing. The model equipment is assembled through Boolean operations of graphical elements. Aiming at the multi-source heterogeneous data of the power grid information model, the E3M storage format of the power grid information model is proposed and designed, and storage schemes are designed for different scenarios; the data model assembly steps are proposed based on the design of the power grid information model. Finally, files are randomly selected from the State Grid digital management application system for verification of data format and content correctness, integrity checks, and other information. The experimental results show that the designed system can achieve a file information accuracy rate of over 99.6%, which is 5.7% higher than existing detection methods, achieving standardized model data storage management.
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