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智能电网调度控制系统中历史数据服务优化方案
引用本文:于宏文,郑春伟,汪洋,汤卫东,马志斌,徐建航.智能电网调度控制系统中历史数据服务优化方案[J].电力系统自动化,2016,40(19):113-118.
作者姓名:于宏文  郑春伟  汪洋  汤卫东  马志斌  徐建航
作者单位:国家电网华中电力调控分中心, 湖北省武汉市 430077,南瑞集团公司(国网电力科学研究院)(北京), 北京市 100192,南瑞集团公司(国网电力科学研究院)(北京), 北京市 100192,国家电网华中电力调控分中心, 湖北省武汉市 430077,南瑞集团公司(国网电力科学研究院)(北京), 北京市 100192,南瑞集团公司(国网电力科学研究院)(北京), 北京市 100192
基金项目:国网华中电力公司科技项目“调度自动化系统历史数据优化存储关键技术研究”
摘    要:在智能电网调度控制系统中,历史数据存储规模呈爆发式增长态势,海量历史数据的冲击,影响了数据访问效率,为满足历史数据高效访问的需求,针对历史数据服务提出了全新的解决方案。文中提出增加历史数据缓冲区,缓存管理电网热点数据,提高数据处理效率,减轻历史库负载;优化任务分配器,协调数据缓存区与关系库分工作业,对历史数据服务进行有效的管理和调度;设计历史数据会话监听机制,实时监视数据库会话状态,保障历史数据服务的安全性和稳定性。实践证明,基于缓存的历史数据服务能够满足爆发式海量数据场景下的数据访问需求,保障电网调度控制系统的安全稳定运行。

关 键 词:数据缓存  服务管理  缓冲区  曲线模版  任务分配器  会话监视
收稿时间:2015/9/28 0:00:00
修稿时间:2016/8/15 0:00:00

Historical Data Service Optimization Scheme for Smart Grid Dispatching and Control Systems
YU Hongwen,ZHENG Chunwei,WANG Yang,TANG Weidong,MA Zhibin and XU Jianhang.Historical Data Service Optimization Scheme for Smart Grid Dispatching and Control Systems[J].Automation of Electric Power Systems,2016,40(19):113-118.
Authors:YU Hongwen  ZHENG Chunwei  WANG Yang  TANG Weidong  MA Zhibin and XU Jianhang
Affiliation:Central China Electric Power Dispatching and Control Sub-Center of State Grid, Wuhan 430077, China,NARI Group Corporation(State Grid Electric Power Research InstituteBeijing), Beijing 100192, China,NARI Group Corporation(State Grid Electric Power Research InstituteBeijing), Beijing 100192, China,Central China Electric Power Dispatching and Control Sub-Center of State Grid, Wuhan 430077, China,NARI Group Corporation(State Grid Electric Power Research InstituteBeijing), Beijing 100192, China and NARI Group Corporation(State Grid Electric Power Research InstituteBeijing), Beijing 100192, China
Abstract:In the smart grid dispatching and control system, the explosive growth of historical data storage scale and the onrush of massive historical data affect the efficiency of historical data access. To meet the demand for efficient access to historical data, an all-new solution for historical data service is proposed. The addition of historical data buffers is intended for buffer management of hot grid data to improve data processing efficiency and reduce historical database load. The task allocator is optimized for work coordination between data cache and historical database to effectively manage and schedule historical data services. The session monitoring mechanism of historical data is designed for real-time monitoring of database session state, to ensure the security and stability of historical data service. Practice has peroved that the cache based historical data service is able to meet the data access demand in the explosive mass data scenarios, while protecting the safety and stable operation of the power grid dispatching and control system.
Keywords:data cache  service management  cache buffer  curve template  task allocator  session monitoring
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