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A Parallel Collaborative Algorithm Based on Partial Duality in Interconnected Power Grids

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Grid and Cooperative Computing - GCC 2005 (GCC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3795))

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Abstract

This paper investigated a collaborative optimal computation method in large-scale interconnected power grids. A decomposition of collaborative model based on partial duality is analyzed, and a parallel algorithm based on DC optimal power flow is presented in decomposition of interconnected power grids. The globe OPF computation of large power grid is decomposed into computations of multi regions subproblems, which are quadratic programming problem. The information of interchanging among regions is export price and boundary nodal bus phase angle. The IEEE RTS-96 with two and three interconnected regions is studied to illustrate the effect of the proposed algorithm. The total computation time is decreased and the complex system is easier to analyze.

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References

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Author information

Authors and Affiliations

  1. Beijing University of Aeronautics and Astronautics, 100083, Beijing, China

    Ke-yan Liu & Yun-hua Li

  2. China Electric Power Research Institute, 100085, Beijing, China

    Wan-xing Sheng

Authors
  1. Ke-yan Liu
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  2. Wan-xing Sheng
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  3. Yun-hua Li
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Editor information

Editors and Affiliations

  1. China Knowledge Grid Research Group, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Hai Zhuge

  2. Community Grids Lab, Indiana University Bloomington,  

    Geoffrey C. Fox

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, Ky., Sheng, Wx., Li, Yh. (2005). A Parallel Collaborative Algorithm Based on Partial Duality in Interconnected Power Grids. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_58

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  • DOI: https://doi.org/10.1007/11590354_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30510-1

  • Online ISBN: 978-3-540-32277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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