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  • 标题:Key Technologies of Multi-Source Data Integration System for Large Power Grid Operation
  • 本地全文:下载
  • 作者:Guanghui Shao ; Bing Wang ; Yang Liu
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:261
  • 页码:1-4
  • DOI:10.1051/e3sconf/202126101044
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:With the continuous expansion of the scale of the power grid and the continuous increase in the proportion of new energy and power electronic equipment, higher requirements are placed on the basic data of the online security analysis of the power grid. This paper proposes a multi-source data integration system for large power grid operation. It studies the rapid interaction and intelligent integration of multi-source heterogeneous information such as offline and online models, breaking the technical application barriers of various types of data, and quickly generating real-time power grid model. The analysis model provides a reliable data basis for the online analysis of the power grid. Finally, based on the PSASP simulation software, the correctness and effectiveness of the multi-source data integration system of large power grid are verified.
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