基于云计算的智能电网大数据处理平台  

Smart power system big data processing platform in cloud environments

作　　者：李佳[1] 徐胜超 LI Jia;XU Sheng-chao(School of Information and Engineering,Jiangsu Food and Pharmaceutical Science College,Huai’an 223003,China;School of Electronic and Information Engineering,Qinzhou University,Qinzhou 535011,China)

机构地区：[1]江苏食品药品职业技术学院信息工程学院,江苏淮安223003 [2]钦州学院电子与信息工程学院,广西钦州535011

出　　处：《计算机工程与设计》2018年第10期3073-3079,共7页Computer Engineering and Design

基　　金：国家自然科学基金重点基金项目(60433040);国家自然科学基金项目(50577027)

摘　　要：提出基于云计算的智能电网大数据处理平台SP-DPP(smart power system big data processing platform in cloud environment)。讨论智能电网大数据处理的数学模型与电网大数据的任务划分方式。SP-DPP云平台由大数据存储与管理模块、任务分配与调度模块、大数据执行模块和客户端模块组成。描述SP-DPP云平台处理智能电网大数据的编码方式,以IEEE118节点的电网作为智能电网大数据处理的案例程序。测试结果表明,针对海量的智能电网潮流计算的状态安全大数据的分析需求,SP-DPP平台具有较好的吞吐量与加速比。A smart power system big data processing platform in cloud environment called SP-DPP was presented.The mat-hematic model and sub-task partition of big data processing in smart power system were discussed.The SP-DPP was composed of big data storage and management module,task dispatch and scheduling module,big data executing module and client module.The coding model of big data processing on SP-DPP was also described in detail.To demonstrate the effectiveness of SP-DPP,a serial of simulation experiments in IEEE 118 node power system were done.The results and performance analysis demonstrate that SP-DPP can meet the real time demands in large scale power system big data processing.Satisfied throughput and speedup are also obtained in test results.

关 键 词：智能电网 大数据 映射-规约 云计算 潮流计算 

分 类 号：TP393.03[自动化与计算机技术—计算机应用技术]