DocumentCode :
2378447
Title :
State Estimation Using Sparse Givens Rotation Field Programmable Gate Array
Author :
Nagvajara, P. ; Lin, Z. ; Nwankpa, C. ; Johnson, J.
Author_Institution :
Drexel Univ., Philadelphia
fYear :
2007
fDate :
Sept. 30 2007-Oct. 2 2007
Firstpage :
421
Lastpage :
427
Abstract :
In the on-line assessment of the power grid to assure reliable operation, the state estimation is the front-end real-time processing of the measurement data being transmitted from the SCADA system via network and telemetry. An alternative high-performance computing platform comprising a host computer interconnected to a Field Programmable Gate Array (FPGA) via a PCI-Express bus is proposed. The predicted performance obtained from the state estimation of benchmark power grids (118 and 1648 bus systems) shows that the row-oriented Givens algorithm-specific hardware can provide an order of magnitude speedup over the software program of the same Givens rotation algorithm running on Pentium 4 M 1.7 GHz processor with 1 GB of RAM. This result indicates that algorithm-specific hardware on FPGA may provide a cost-effective solution to high-performance state estimation.
Keywords :
field programmable gate arrays; peripheral interfaces; power grids; power system analysis computing; power system state estimation; FPGA; PCI-Express bus; algorithm-specific hardware; field programmable gate array; high-performance computing; on-line assessment; power grid; power system state estimation; row-oriented Givens rotation algorithm; Computer network reliability; Field programmable gate arrays; Hardware; Power grids; Power measurement; Power system reliability; Real time systems; SCADA systems; Software algorithms; State estimation; FPGA; Power system state estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Symposium, 2007. NAPS '07. 39th North American
Conference_Location :
Las Cruces, NM
Print_ISBN :
978-1-4244-1726-1
Electronic_ISBN :
978-1-4244-1726-1
Type :
conf
DOI :
10.1109/NAPS.2007.4402344
Filename :
4402344
Link To Document :
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