Parallel multi-GPU implementation of fast decoupled power flow solver with hybrid architecture

Author:

Zeng Lei,Alawneh Shadi G.,Arefifar Seyed Ali.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference38 articles.

1. Wang, M. , Xia, Y., Chen, Y., Huang, S.: GPU-based sparse power flow analysis with continuous Newton’s method. In: 2017 IEEE Conference on Energy Internet and Energy System Integration (E12), pp. 1–5 (2017)

2. Zeng, L., Alawneh, S.G., Arefifar, S.A.: GPU-based sparse power flow studies with modified Newton’s method. IEEE Access 9, 153226–153239 (2021)

3. Peng, S., Tan, S.X.: GLU3.0: fast GPU-based parallel sparse LU factorization for circuit simulation. IEEE Des. Test 37(3), 78–90 (2020)

4. Kirk, D.B., Hwu, W.-M.: Programming Massively Parallel Processors: A Hands-on Approach, 2nd edn. Morgan Kaufmann Publishers Inc., San Francisco (2013)

5. Jian, H., Hao, M.: Distributed real-time optimal power flow strategy for DC microgrid under stochastic communication networks. J. Mod. Power Syst. Clean Energy to be published

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