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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1521

Title: Jacobi load flow accelerator using FPGA
Authors: Foertsch, J.
Johnson, Jeremy
Nagvajara, Prawat
Keywords: FPGA;Gauss-Seidel;iterative solver;Jacobi;loadflow;Newton-Raphson
Issue Date: 2005
Publisher: IEEE Institute of Electrical and Electronics Engineers
Citation: Paper presented at the 37th Annual North American Power Symposium, Ames, IA.
Abstract: Full-AC load flow is a crucial task in power system analysis. Solving full-AC load flow utilizes iterative numerical methods such as Jacobi, Gauss-Seidel or Newton- Raphson. Newton-Raphson is currently the preferred solver used in industrial applications such as Power World and PSS/E due to it faster convergence than either Jacobi or Gauss-Seidel. In this paper, we reexamine the Jacobi method for use in a fully pipelined hardware implementation using a Field Programmable Gate Array (FPGA) as an alternative to Newton-Raphson. Using benchmark data from representative power systems, we compare the operation counts of Newton-Raphson software to the proposed Jacobi FPGA hardware. Our studies show that Jacobi method implemented in an FPGA for a sufficiently large power system has the potential to be a state of the art full-AC load flow engine.
URI: http://dx.doi.org/10.1109/NAPS.2005.1560554
Appears in Collections:Faculty Research and Publications (ECE)

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