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电力系统对角加边模型的数据中心求解方法

杨挺 向文平 王洪涛 盆海波

中国电机工程学报Issue(3):512-518,7.
中国电机工程学报Issue(3):512-518,7.DOI:10.13334/j.0258-8013.pcsee.2015.03.002

电力系统对角加边模型的数据中心求解方法

An Algorithm for Solving the Block Bordered Diagonal Form of Electrical Power System in Data Center

杨挺 1向文平 1王洪涛 1盆海波1

作者信息

  • 1. 天津大学电气与自动化工程学院,天津市 南开区 300072
  • 折叠

摘要

Abstract

With the advent of large-scale regional interconnected power grids as well as the utilization of the phasor measurement unit (PMU) and intelligent electronic devices (IEDs) in electrical power systems becoming more common, the analysis of petabyte sized data has become a primary focus in research communities. Cloud computing, which is a form of data storage on the Internet, increases the possibility to implement a tool for analyzing large datasets in power systems and parallel computing in complex grids. This paper proposed a new optimized method for the mapping of block bordered diagonal form (BBDF) and decomposition-coordination algorithms for cloud computing data centers. Based on the computational complexity of coupling between tasks, the decomposition-coordination algorithm had been split to perform different tasks, and to judge the amount of calculation. A binding placement algorithm also was presented as a method to map the tasks into virtual machines (VM). A new energy-efficient Bin-Packing model was built for the final mapping step, which is the process of transferring the data from the VMs to the data centers. This will be performed while ensuring that the constraints of CPU and memory utilization rate are in check. IEEE 118 node grid model, as well as two large-scale power systems, which utilizes 538 and 1133 nodes systems, were calculated through the CloudSim platform. The results suggest that data centers using the virtual machine technology are more effective than the use of traditional parallel computing methods in terms of time and system energy consumption. In the IEEE 118 nodes system, the total <br> processing time has reduced to 43.2%, and with the system size increasing, the 1133 nodes system experienced a 75.8%decrease.

关键词

大数据复杂计算/云计算/对角加边模型/分解协调并行算法/数据中心/能量有效性

Key words

big data complex calculation/cloud computing/block bordered diagonal form (BBDF)/decomposition-coordination algorithm/data center/energy efficiency

分类

信息技术与安全科学

引用本文复制引用

杨挺,向文平,王洪涛,盆海波..电力系统对角加边模型的数据中心求解方法[J].中国电机工程学报,2015,(3):512-518,7.

基金项目

国际科技合作专项资助项目(2013DFA11040);国家自然科学基金项目(61172014);天津市自然科学基金项目(12JCZDJC21300)。@@@@The National Program of International S&T Cooperation (2013DFA11040) (2013DFA11040)

Project Supported by National Natural Science Foundation of China (61172014) (61172014)

Project Supported by National Natural Science Foundation of Tianjin (12JCZDJC21300) (12JCZDJC21300)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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