文章摘要
桂勋,LIU Yilu,郑永康,等.基于大数据技术的北美FNET/GridEye系统设计与实现[J].电力系统自动化,2017,41(10):112-116. DOI: 10.7500/AEPS20160915003.
GUI Xun,LIU Yilu,ZHENG Yongkang, et al.Design and Implementation of North America FNET/GridEye System Based on Big Data Technology[J].Automation of Electric Power Systems,2017,41(10):112-116. DOI: 10.7500/AEPS20160915003.
基于大数据技术的北美FNET/GridEye系统设计与实现
Design and Implementation of North America FNET/GridEye System Based on Big Data Technology
DOI:10.7500/AEPS20160915003
关键词: FNET/GridEye  OpenPDC  OpenHistorian  分布式软件体系结构  触发器  调度组件  实时大数据
KeyWords: FNET/GridEye  OpenPDC  OpenHistorian  distributed software architecture  trigger  coordinator component  real-time big data
上网日期:2017-01-13
基金项目:
作者单位E-mail
桂勋 电子科技大学能源科学与工程学院, 四川省成都市 610031 guinh3@uestc.edu.cn 
LIU Yilu 田纳西大学电气工程与计算机科学系, Knoxville, TN 37996-2100, 美国  
郑永康 国网四川省电力公司电力科学研究院, 四川省成都市 610072  
刘明忠 国网四川省电力公司电力科学研究院, 四川省成都市 610072  
摘要:
      随着智能电网信息化技术的快速发展,已稳定运行多年的FNET/GridEye软件系统已经无法适应未来的发展。针对这种情况并结合最新的电力实时大数据(以同步向量数据为主)开源项目OpenPDC/OpenHistorian设计了基于分布式架构的新一代系统。系统由前端集群、后端集群和系统调用组件三部分组成,具有系统扩展性强和可靠性高的特点。前端集群中的每台OpenPDC服务器负责接入一定数量的同步向量采集设备,并在其中运行不同的电网事件触发器插件。当触发器探测到电网事件后会以组播方式通知位于后端集群中的系统调度组件,此组件负责从OpenHistorian中加载窗口数据后,运行对应的分析应用程序。针对已投运系统的数据吞吐量测试、两年多的稳定运行和不断添加前端设备和后端应用证明了新系统设计的先进性。
Abstract:
      With the rapid development of big data technology, the existing FNET/GridEye software system has been unable to adapt to future developments. As a result, a new distributed software architecture is designed and implemented based on phasor-oriented open-source and real-time big data projects: OpenPDC and OpenHistorian. The system is composed of three parts: the front cluster, the rear cluster and the system coordinator component, which has the characteristics of high system scalability and high reliability. Each OpenPDC server in the front cluster is responsible for the access to a certain number of phasor measurement unit(PMU)devices, and in which different power grid event triggers are run. When the power grid event is detected by the triggers, the system coordinator component will be notified by the multicast technology from the trigger, and the window data will be extracted from OpenHistorian by the system coordinator component, then the corresponding analysis application can be loaded to run in the application server. According to the throughput test results, stable operation for more than two years and increasing PMU devices and applications proves that the system design is advanced.
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