半月刊

ISSN 1000-1026

CN 32-1180/TP

+高级检索 English
电力调度SCADA系统画面数据刷新方法优化
作者:
作者单位:

(1. 南瑞集团公司(国网电力科学研究院)(北京), 北京市 100192; 2. 国家电网公司国家电力调度控制中心, 北京市 100031)

摘要:

针对现有画面刷新方法在大规模画面数据刷新时出现的服务器负载过高、画面数据不一致、画面更新丢失等问题,在对现有方法深入研究的基础上提出一种画面数据刷新技术的优化方法。该方法通过引入事件触发的订阅/发布机制、链路共享技术、画面同步推送技术对画面刷新方法进行优化,降低了画面数据刷新服务器的负荷,提高了画面数据的一致性。对比测试表明,优化后画面数据刷新方法在CPU使用率、内存使用率、画面更新丢失率等参数上明显较优。实践证明画面数据刷新的优化方法更适合大规模画面数据刷新,更好地满足了新一代电力数据采集与监控(SCADA)系统画面数据刷新的要求。

关键词:

基金项目:

国家电网公司科技项目(SGXJJSKF(2009)781)。

通信作者:

作者简介:


Optimization of Interface Data Refresh Method in Power Dispatch SCADA System
Author:
Affiliation:

(1. NARI Group Corporation (State Grid Electric Power Research Institute) (Beijing), Beijing 100192, China; 2. National Electric Power Dispatching and Control Center, State Grid Corporation of China, Beijing 100031, China)

Abstract:

In view of the problems of server over-load, data inconsistency and data update loss in the large-scale interface data refresh by current data refresh methods, an optimized interface data refresh method is proposed. By using event triggered subscribe/push mechanism, the link sharing technology and the screen synchronized push technology, the optimized method is able to reduce the server load and improve data consistency. Comparison tests show that the optimized interface data refresh method is superior to the CPU usage, memory usage, and the data update loss rate. Practice has proved that the optimal method is more suitable for large-scale interface data refresh, thus better meeting the requirements of a new generation of electric power supervisory control and data acquisition (SCADA) system interface data refresh. This work is supported by State Grid Corporation of China (No. SGXJJSKF(2009)781).

Keywords:

Foundation:
引用本文
[1]叶飞,王恒,厉启鹏,等.电力调度SCADA系统画面数据刷新方法优化[J].电力系统自动化,2015,39(18):69-74. DOI:10.7500/AEPS20140929011.
YE Fei, WANG Heng, LI Qipeng, et al. Optimization of Interface Data Refresh Method in Power Dispatch SCADA System[J]. Automation of Electric Power Systems, 2015, 39(18):69-74. DOI:10.7500/AEPS20140929011.
复制
支撑数据及附录
分享
历史
  • 收稿日期:2014-09-29
  • 最后修改日期:2015-07-02
  • 录用日期:2015-05-05
  • 在线发布日期: 2015-06-09
  • 出版日期: