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作 者:崔蔚[1] 周力[1] 吴凯峰[1] 陈建[2] 王志强[2] 肖政[1] 裴旭斌[2]
机构地区:[1]国网电力科学研究院,北京100761 [2]国网浙江省电力公司,浙江杭州310007
出 处:《电力信息与通信技术》2014年第2期60-63,共4页Electric Power Information and Communication Technology
摘 要:大数据是当今IT重要的发展趋势,其发展将对电力企业的信息化建设产生深远的影响,而Hadoop作为大数据领域最有影响力的开源产品,被国内外各厂商广泛使用。随着电力用电信息采集系统建设的进展,不断增加的数据量使得传统的线损分析方法已经无法满足业务要求。文章通过并行计算技术,采用Hadoop平台实现台区线损分析系统的并行化改造,用以提升台区线损应用的计算效率。通过选取某省电力公司线损分析系统实际数据进行对比,实验证实新的并行线损分析系统性能远远超出传统Oracle架构的线损系统,为未来并行计算技术在电量与线损管理系统的应用提供依据。Big data is an important development trend for today's IT, and its development will have a profbund impact on the informatization construction of power enterprises. As the most influential open source product, Hadoop has been widely used in domestic and foreign manufacturers. With the construction of electric energy data acquisition system, the increasing data make the traditional line loss analysis methods unable to meet the performance requirements. In this paper, parallel computing technology and the Hadoop platform are used for parallelization of the line loss analysis system to enhance the computing efficiency of area line loss calculation application. By selecting the actual data of a province power company line loss analysis system, comparative test results show that the new parallel line loss analysis system had a better performance far beyond the traditional one based on the Oracle architecture, which will provide a basis for the future application of parallel computing technology in the power line loss system.
分 类 号:TP319[自动化与计算机技术—计算机软件与理论]
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