Conference proceeding
State Estimation Using Sparse Givens Rotation Field Programmable Gate Array
2007 39th North American Power Symposium, pp 421-427
Sep 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- State Estimation Using Sparse Givens Rotation Field Programmable Gate Array
- Creators
- P Nagvajara - Drexel UniversityZ Lin - Drexel UniversityC Nwankpa - Drexel UniversityJ Johnson - Drexel UniversityIEEE
- Publication Details
- 2007 39th North American Power Symposium, pp 421-427
- Conference
- 2007 39th North American Power Symposium, 39th
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering; Bennett S. LeBow College of Business
- Web of Science ID
- WOS:000253272900068
- Scopus ID
- 2-s2.0-50249148435
- Other Identifier
- 991019167834904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Energy & Fuels
- Engineering, Electrical & Electronic
- Transportation Science & Technology