A parallel collaborative algorithm based on partial duality in interconnected power grids

  • Authors:

  • Ke-yan Liu;Wan-xing Sheng;Yun-hua Li

  • Affiliations:

  • Beijing University of Aeronautics and Astronautics, Beijing, China;China Electric Power Research Institute, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China

  • Venue:
  • GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
  • Year:
  • 2005

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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.