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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|Titolo:||Optimal management of electric power systems via high performance computing|
|Data di pubblicazione:||1995|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|