DocumentCode :
2530967
Title :
Transforming power grid operations via high performance computing
Author :
Huang, Zhenyu ; Nieplocha, Jarek
Author_Institution :
Battelle-Pacific Northwest Nat. Lab., Richland, WA
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
8
Abstract :
Past power grid blackout events revealed the inadequacy of grid operations software when handling adverse situations, to a large degree due to its low computational efficiency. High performance computing (HPC) promises a solution to this problem. In addition, the HPC technology becomes necessary to take advantage of parallel computing platforms as the computer industry is undergoing a significant change from the traditional single-core processors to multi-core based computing platforms. HPC can improve todaypsilas key grid operation functions like state estimation and contingency analysis and reduce the solution time from minutes to seconds, comparable to SCADA measurement cycles. HPC also enables the integration of dynamic analysis into real-time grid operations. Dynamic state estimation, look-ahead dynamic simulation and real-time dynamic contingency analysis would be three crucial dynamic functions in future control centers. HPC provides opportunities for developing better decision support tools, which also need HPC support to handle large volume of data and large number of cases. Given the complexity of the grid and the sheer number of possible configurations, we argue that HPC will be an indispensible element in the next generation control centers.
Keywords :
SCADA systems; power engineering computing; power grids; SCADA measurement cycles; computer industry; contingency analysis; decision support tools; grid operations software; high performance computing; multicore based computing; parallel computing platforms; power grid blackout; real-time dynamic contingency analysis; real-time grid operations; state estimation; transforming power grid operations; Analytical models; Computational efficiency; Computational modeling; Computer industry; Concurrent computing; High performance computing; Parallel processing; Power grids; State estimation; Time measurement; Contingency Analysis; Control Centers; Dynamic Simulation; High Performance Computing; Parallel Computing; Power Grid Operations; Power System Blackouts; State Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596063
Filename :
4596063
Link To Document :
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