文章摘要
赵林,周二专,范泽龙,等.面向快速响应的电网在线分析系统架构[J].电力系统自动化. DOI: 10.7500/AEPS20180612003.
ZHAO Lin,ZHOU Mike,FAN Zelong, et al.Architecture of Power Grid Online Analysis System Oriented to Rapid Response[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180612003.
面向快速响应的电网在线分析系统架构
Architecture of Power Grid Online Analysis System Oriented to Rapid Response
DOI:10.7500/AEPS20180612003
关键词: 流式数据处理  分布式实时数据库;内存数据网格  快速响应
KeyWords: streaming data processing  distributed real-time database  memory data grid  fast response
上网日期:2019-07-12
基金项目:国家电网公司“千人计划”专项资助项目
作者单位E-mail
赵林 南瑞集团公司国网电力科学研究院 zhaolin@sgepri.sgcc.com.cn 
周二专 南瑞集团公司国网电力科学研究院 mike.zhou@interpss.org 
范泽龙 南瑞集团公司国网电力科学研究院 fanzelong@aliyun.com 
冯东豪 南瑞集团公司国网电力科学研究院 epfengdonghao@mail.scut.edu.cn 
袁启海 南瑞集团公司国网电力科学研究院 yuanqihai@sgepri.sgcc.com.cn 
摘要:
      针对当前调控系统运行中存在的对在线分析更高时效性的需求,本文将流式数据处理、 分布式实时数据库、内存数据网格等技术进行综合研究,提出了一种优化在线分析速率的系统架构,并基于该架构建立了一套面向快速响应的电网在线分析系统。通过该系统可有效缩短在线分析从数据采集到完成分析的整体时间,从而能够快速跟踪电网运行方式变化。#$NL关键词: 流式数据处理; 分布式实时数据库;内存数据网格;快速响应
Abstract:
      Addressing the need for more timeliness of online safety and stability analysis in the current operation of regulatory systems, this article comprehensively researches streaming data processing, distributed real-time database, memory data grid and other technologies, and finally proposed a system architecture to optimize the online analysis rate. Based on this architecture, a set of online response analysis system for fast response has been established. The system can effectively shorten the overall time from on-line data acquisition to completion analysis of online analysis, and thus can quickly track changes in the operating mode of the power grid.#$NLKeywords: streaming data processing; distributed real-time database; memory data grid; fast response
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