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