电工技术学报2020，Vol.35Issue(11)：2339-2348,10.DOI:10.19595/j.cnki.1000-6753.tces.190901
基于图计算的能量管理系统实时网络分析应用研发
Graph Computing Based Power Network Analysis Applications
摘要
Abstract
This paper discussed the bottlenecks of current energy management system (EMS) for grid modernization and smart grid. To meet the requirements for the next generation EMS, a graph-based power system online parallel computing approach is proposed in this paper. In this approach, the power system is modeled as a graph and the power system analysis and computing are performed on the graph all in memory. To improve the computation efficiency, a suite of parallel computing algorithm based on graph is developed to solve power flow and state estimation equations. Taking the graph computing advantages on nodal and hierarchical parallelism, the graph-based state estimation, power flow, and contingency analysis applications are implemented and integrated in a developed EMS prototype. The case study on a real provincial system verified the advantages of graph computing and its computation efficiency is outperformed than commercial EMS. The potential applications on EMS using graph computing are presented at the end of the paper.关键词
能量管理系统/图数据库/图计算/拓扑分析/状态估计/潮流计算/静态安全分析Key words
Energy management system/graph database/graph computing/topology analysis/state estimation/power flow/contingency analysis分类
信息技术与安全科学引用本文复制引用
刘广一1,2,戴仁昶1,路轶3,刘克文2,王之伟1,袁琛1,范宏1,戴江鹏1..基于图计算的能量管理系统实时网络分析应用研发[J].电工技术学报,2020,35(11):2339-2348,10.基金项目
国家电网公司海外研究院科技项目(SGSHXT00JFJS1700138)和国家电网公司科技项目(适用于电力系统应用的高性能计算技术研究与开发)(5100-201955482A-0-0-00). （SGSHXT00JFJS1700138）
