Studi di espansione ottima di sistemi di trasmissione mediante metodi non lineari

The paper illustrates the main characteristics of linear and mixed integer-linear programming for optimal computer-aided expansion planning of transmission networks. Attention is first drawn to the theory of mixed programming, with special reference to technical-economical constraints and the objective function adopted for electric power systems. The results of simulations on model networks are then presented, which illustrate - also by means of comparisons with linear methods - the efficiency of mixed programming to take into account some specific needs for expansion planning. Special attention is paid to cases where preestablished planning horizon should be divided into several time intervals (equivalent to intermediate developments of the future network) and to cases where functions other than the linear one should be considered for capital investment costs associated with transmission lines. Finally, a criterion for reducing both computation time and core storage occupation is proposed.