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分布式电能质量信息系统设计与实现
引用本文:赵霞,林天华.分布式电能质量信息系统设计与实现[J].科技导报(北京),2013,31(19):58-61.
作者姓名:赵霞  林天华
作者单位:河北经贸大学信息技术学院, 石家庄 050061
摘    要: 分布式电能质量信息系统是指采用了分布式技术设计和实现的电能质量信息系统。建设电能质量信息系统是提高电能质量、保证电网安全供电的重要方法。传统的电能质量监测系统包括数据采集、数据计算和数据分析子系统。随着监测点数量的迅速增加,各子系统的工作负荷成倍增加,导致系统效率低下。由于系统处理能力的束缚,系统中允许的监测点数量受到限制,迫切需要解决电能质量信息系统的性能瓶颈问题。本文采用分布式体系结构进行设计,即用分布式处理系统进行数据采集,用分布式数据库进行数据存储,用分布式计算进行数据计算,用WebService接口封装数据访问,经济、有效地提高了系统的处理能力和响应速度,解决了服务器负荷上限问题,满足了供电公司未来大量增加监测点的需求。

关 键 词:电能质量  海量数据  性能优化  分布式系统  
收稿时间:2013-03-10

Design and Implementation of Distributed Electric Power Quality Information System
ZHAO Xia,LIN Tianhua.Design and Implementation of Distributed Electric Power Quality Information System[J].Science & Technology Review,2013,31(19):58-61.
Authors:ZHAO Xia  LIN Tianhua
Institution:College of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, China
Abstract:Distributed Power Quality Information System (DPQIS) adopts the distributed technology to design and implementation the Power Quality Information System (PQIS). The construction of power quality online monitoring system is an important method for improving the quality of electricity and ensuring the safe supply of power grid. The conventional PQIS includes the following subsystems, such as data collection, data computation, and data analysis. With the number of monitoring sites rapidly increase, the load of the above subsystems increases multiply. Due to the processing ability limitation of the system, the number of monitoring sites of the system is limited. The performance bottleneck of the system should be solved urgently. The distributed architecture is employed to design, utilize distributed processing system for the data collection, the distributed database is used for data storage, distributed computing is taken for data computation, and WebService interface is adopted for encapsulating data access; the processing ability and response speed of the system are economically and effectively improved. Then the upper limit problem of server load is resolved and the demand on massively increasing monitoring sites for electric supply company in the future is satisfied.
Keywords:electric power quality  massive data  performance optimization  distributed system  
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