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作 者:谭俊 张国芳[2] 刘广一 魏龙飞 刘克文 戴仁昶 TAN Jun;ZHANG Guofang;LIU Guangyi;WEI Longfei;LIU Kewen;DAI Renchang(Global Energy Interconnection Research Institute North America,San Jose 95134,USA;Sichuan Electric Power Corporation,Chengdu 610041,China;Global Energy Interconnection Research Institute,Beijing 100031,China)
机构地区:[1]全球能源互联网美国研究院,加利福尼亚州圣何塞95134 [2]国网四川省电力公司,四川成都610041 [3]全球能源互联网研究院有限公司,北京100031
出 处:《供用电》2019年第11期28-34,54,共8页Distribution & Utilization
基 金:国家电网有限公司科技项目(5455HJ180018)~~
摘 要:随着电力系统的快速发展,其规模和复杂度正在急剧增加。电力系统需要更加高效的数据管理和更快的分析计算工具。这些挑战可以通过图数据模型和图计算技术得到很好的解决。图数据模型可以为电力系统提供高效的数据管理手段,同时图计算可以通过并行计算提高分析计算速度。文章提出了一种基于图数据模型的配电网建模方法,并在此基础上开发了基于图计算的并行潮流算法和基于图数据库的配电网分析软件。所提出的并行潮流算法可以有效地提高计算效率,减少潮流计算时间。同时,开发的配电网分析软件可以提供灵活的可视化功能和强大的数据分析及管理功能。With the emergence of the graph database and the graph computing technologies,the power system is facing a new era of technology development. Meanwhile,the fast-growing power distribution systems with increased scale and complexity require more efficient data management and faster power flow solving algorithm. These challenges could be well solved by applying the graph data model(GDM) and graph computing technologies as the GDM provides more efficient data management methods and the graph computing is suitable for the node to improve the speed of analysis and calculation based parallel computing. This paper proposes a GDM based power distribution network modeling approach. Based on this,a parallel power flow algorithm based on graph computing and distribution system analysis software based on graph database are developed. The proposed parallel power flow algorithm is implemented on a graph database platform and the simulation results show that it is able to effectively reduce the computing time of the power flow with large test systems. Moreover,the power flow software is able to provide vivid data visualization and perform flexible data analysis and data management functions.
关 键 词:图数据库 图计算 图数据模型 配电网分析 并行计算
分 类 号:TM72[电气工程—电力系统及自动化]
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