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.
Optimal management of electric power systems via high performance computing
Conforti, Domenico;
1995-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
