GPU-Based Fast Decoupled Power Flow With Preconditioned Iterative Solver and Inexact Newton Method

Power flow is the most fundamental computation in power system analysis. Traditionally, the linear solution in power flow is solved by a direct method like LU decomposition on a CPU platform. However, the serial nature of the LU-based direct method is the main obstacle for parallelization and scalab...

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Vydané v:	IEEE transactions on power systems Ročník 32; číslo 4; s. 2695 - 2703
Hlavní autori:	Li, Xue, Li, Fangxing, Yuan, Haoyu, Cui, Hantao, Hu, Qinran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Architecture Buses (vehicles) Computer architecture conjugate gradient (CG) method Convergence Fast decoupled power flow (FDPF) graphic processing unit (GPU) Graphics processing units inexact newton method Iterative methods iterative solver Load flow Matlab Newton method Nonlinear programming Parallel processing Power flow precondition Solvers
ISSN:	0885-8950, 1558-0679
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