Parallel Power Flow Computation Trends and Applications: A Review Focusing on GPU

Dong-Hee Yoon and Youngsun Han
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Dong-Hee Yoon: Department of Railway, Kyungil University, Gyeongsan 38428, Korea
Youngsun Han: Department of Computer Engineering, Pukyong National University, Pusan 48513, Korea

Energies, 2020, vol. 13, issue 9, 1-18

Abstract: A power flow study aims to analyze a power system by obtaining the voltage and phase angle of buses inside the power system. Power flow computation basically uses a numerical method to solve a nonlinear system, which takes a certain amount of time because it may take many iterations to find the final solution. In addition, as the size and complexity of power systems increase, further computational power is required for power system study. Therefore, there have been many attempts to conduct power flow computation with large amounts of data using parallel computing to reduce the computation time. Furthermore, with recent system developments, attempts have been made to increase the speed of parallel computing using graphics processing units (GPU). In this review paper, we summarize issues related to parallel processing in power flow studies and analyze research into the performance of fast power flow computations using parallel computing methods with GPU.

Keywords: power flow computation; high performance computing (HPC); parallelism; parallel computation; LU decomposition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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