DocumentCode :
10621
Title :
Applications and Trends of High Performance Computing for Electric Power Systems: Focusing on Smart Grid
Author :
Green, Robert C. ; Lingfeng Wang ; Alam, M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
Volume :
4
Issue :
2
fYear :
2013
fDate :
Jun-13
Firstpage :
922
Lastpage :
931
Abstract :
Over the last 15 years, significant changes have occurred in the areas of electric power systems and high performance computing (HPC). HPC has seen the maturation of cluster computing, the advent of multi-core computing, the creation of grid and cloud computing, and the sudden rise of the graphics processing unit (GPU) for general purpose computing. These changes have also been coupled with the slow ending of Moore´s law. Electric power systems have also undergone many changes including the introduction of the advanced metering infrastructure and other advanced technologies for data collection, the inclusion of renewable/distributed power generation, and the addition of electric vehicles as stochastic loads. Clear goals have also been set for the development of the smart grid-a unique cyber-physical system (CPS) that requires the interaction of the electric power system and HPC. As such, this work explores the many ways in which HPC will be used in the smart grid and its CPS in the future including real-time and off-line analysis, data mining/storage, intelligent coordination, security, simulation, and visualization.
Keywords :
cloud computing; data mining; distributed power generation; electric vehicles; power engineering computing; power system measurement; smart power grids; CPS; GPU; Moore law; advanced metering infrastructure; cloud computing; cluster computing; cyber-physical system; data collection; data mining; distributed power generation; electric power systems; electric vehicles; general purpose computing; graphics processing unit; high performance computing; intelligent coordination; multicore computing; smart grid; Graphics processing units; Real-time systems; Reliability; Security; Smart grids; Cyber-physical power systems; high performance computing; smart grid;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2012.2225646
Filename :
6410474
Link To Document :
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