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基于图数据库的电网CIM/E模型构建及网络拓扑
引用本文:黄华,戴江鹏,王毅,闪鑫,翟明玉,刘广一. 基于图数据库的电网CIM/E模型构建及网络拓扑[J]. 电力系统自动化, 2019, 43(22): 122-129
作者姓名:黄华  戴江鹏  王毅  闪鑫  翟明玉  刘广一
作者单位:南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市211106;国电南瑞科技股份有限公司,江苏省南京市211106;智能电网保护和运行控制国家重点实验室,江苏省南京市211106;全球能源互联网美国研究院,Santa Clara,CA 95054,美国
基金项目:国家重点研发计划资助项目(2017YFB0902600)
摘    要:电力系统规模日益庞大、运行调整更加频繁,对分析计算实时性提出了更高要求。图数据库是近年来兴起的一种源于互联网海量数据并行处理的新型数据库,其数据模型可直观表达电网拓扑结构并易实现并行化遍历查询。首先,从数据模型和数据查询等方面介绍了图数据库的特点,分析了将其应用于大规模电力系统分析计算的潜在优势;其次,面向完整性、一致性以及高效性等准则,提出了基于图数据库并遵循CIM/E标准的电网数据模型设计方法,研发了数据模型装载工具。最后,在电网图数据库模型基础上,实现了一种并行化的电力网络拓扑分析算法。对实际大规模省级电网的计算结果表明,所提方法可显著提高拓扑搜索效率。

关 键 词:图数据库  图计算  网络建模  网络拓扑  CIM/E
收稿时间:2019-04-24
修稿时间:2019-10-18

Graph Database Based Construction and Network Topology of CIM/E for Power Grid
HUANG Hu,DAI Jiangpeng,WANY Yi,SHAN Xin,ZHAI Mingyu and LIU Guangyi. Graph Database Based Construction and Network Topology of CIM/E for Power Grid[J]. Automation of Electric Power Systems, 2019, 43(22): 122-129
Authors:HUANG Hu  DAI Jiangpeng  WANY Yi  SHAN Xin  ZHAI Mingyu  LIU Guangyi
Affiliation:NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co., Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China,Global Energy Interconnection Institute, Santa Clara, CA 95054, USA,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co., Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co., Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co., Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China and Global Energy Interconnection Institute, Santa Clara, CA 95054, USA
Abstract:Power system is becoming larger and larger, and the operation adjustment is more and more frequent, which puts higher requirements on the real-time performance of analysis and calculation. The graph database is a new database that originated from the parallel processing of massive data in internet. The data model can visually express the topology of the grid and easily realize parallel traversal query. Firstly, the characteristics of graph database are introduced from the aspects of data model and data query, and the potential advantages of its application in large-scale power system analysis and calculation are analyzed. Secondly, oriented to the criteria for integrity, consistency and efficiency, a power grid model design method based on graph datebase and following CIM/E standard is developed. Finally, based on graph database model of power grid, a parallel power grid topology analysis algorithm is implemented. The calculation results of the actual large-scale provincial power grid show that the proposed method can significantly improve the topology search efficiency.
Keywords:graph database   graph computation   power grid model   network topology   CIM/E
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