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Optimal management of electric power systems via high performance computing

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High-Performance Computing and Networking (HPCN-Europe 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 919))

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Abstract

In this paper, a problem of great practical interest, related to the production, transmission and distribution of electric energy, is taken into consideration and the optimal management policy for the system is formulated as a nonlinear mathematical programming. The optimization model has been solved by implementing an Augmented Lagrangian algorithm on shared memory vector-parallel computing environments. The computational experiments have been carried out on the ALLIANT FX/80 and CONVEX C-240. The numerical results show the efficiency of the proposed algorithm and the suitability of the parallel computing systems in solving large scale nonlinear optimization problems.

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References

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Authors and Affiliations

  1. Dipartimento di Elettronica, Informatica e Sistemistica, Universitá della Calabria, 87036, Rende - Cosenza, Italy

    Domenico Conforti & Luigi De Luca

Authors
  1. Domenico Conforti
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  2. Luigi De Luca
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Bob Hertzberger Giuseppe Serazzi

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© 1995 Springer-Verlag Berlin Heidelberg

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Conforti, D., De Luca, L. (1995). Optimal management of electric power systems via high performance computing. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046654

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  • DOI: https://doi.org/10.1007/BFb0046654

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59393-5

  • Online ISBN: 978-3-540-49242-9

  • eBook Packages: Springer Book Archive

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