摘要
随着智能电网数据量的不断增加,现有的电力平台无法满足系统高性能计算的需求。针对这一问题,引入云计算进行分布式电力系统内存计算框架的设计,在分布式文件系统中存储智能电表、电子设备等采集数据。结合内存计算框架Spark和牛顿-拉夫逊法,提出弹性分布数据集(RDD)和有向无环图(DAG)优化的牛顿-拉夫逊法。通过实验分析潮流计算时间、加速比和实验集群规模,验证所提算法具有良好的性能。所做研究工作为国内智能电网发展提供参考和借鉴。
With the increasing amount of data in smart grid,the existing power platform can not meet the demand of high performance computing.In order to solve this problem,cloud computing is introduced to design the memory computing framework of distributed power system,and intelligent meters and electronic devices are stored in distributed file system.combining the memory computing framework Spark and Newton-Raphson method,the Newton-Raphson method power flow calculation method based on elastic distribution data set(RDD)and directed acyclic graph(DAG)is proposed.Through the analysis of power flow calculation time,acceleration ratio and experimental cluster size,it is verified that the proposed algorithm has good performance.The research work can provide reference for the development of smart grid in China.
作者
化振谦
卢世祥
阙华坤
叶新青
潘柏良
HUA Zhenqian;LU Shixiang;QUE Huakun;YE Xinqing;PAN Boliang(Metrology Center of Guangdong Power Grid Corporation,Guangzhou 510080,China;Zhejiang Huayun Information Science and Technology Co.,Ltd.,Hangzhou 310008,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2019年第23期160-165,共6页
Power System Protection and Control
基金
国家重大科技攻关项目资助(2016YFB0101900)
广东电网有限责任公司科技项目资助(GDKJXM20161523)~~
关键词
云计算
高性能
内存计算框架
潮流计算
集群规模
cloud computing
high performance
memory computing framework
power flow calculation
cluster scale
