The paper focuses on the solution of the minimum loss reconfiguration problem of distribution networks, including embedded generation, by means of a mixed integer linear programming (MILP) model. The proposed model takes into account typical operating constraints of distribution networks (radial configuration, branch ampacity limits and bus voltage requirements). The accuracy of the results and the computational performances of the proposed MILP model are evaluated by making reference to test networks already adopted in the literature for the problem of interest.
A. Borghetti, M. Paolone, C.A. Nucci (2011). A MIXED INTEGER LINEAR PROGRAMMING APPROACH TO THE OPTIMAL CONFIGURATION OF ELECTRICAL DISTRIBUTION NETWORKS WITH EMBEDDED GENERATORS. STOCKHOLM : KTH.
A MIXED INTEGER LINEAR PROGRAMMING APPROACH TO THE OPTIMAL CONFIGURATION OF ELECTRICAL DISTRIBUTION NETWORKS WITH EMBEDDED GENERATORS
BORGHETTI, ALBERTO;NUCCI, CARLO ALBERTO
2011
Abstract
The paper focuses on the solution of the minimum loss reconfiguration problem of distribution networks, including embedded generation, by means of a mixed integer linear programming (MILP) model. The proposed model takes into account typical operating constraints of distribution networks (radial configuration, branch ampacity limits and bus voltage requirements). The accuracy of the results and the computational performances of the proposed MILP model are evaluated by making reference to test networks already adopted in the literature for the problem of interest.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
