The paper deals with the solution of the minimum-losses configuration problem of distribution networks including embedded generation by means of a mixed-integer linear programming (MILP) model. A model is proposed that takes into account the typical operating constraints of distribution networks (radial configuration, branch ampacity limits, and bus voltage requirements) and the presence of embedded generation. The accuracy of the results and the computational performances of the proposed MILP model are evaluated by using test networks already analyzed in the literature for the problem of interest.
A Mixed-Integer Linear Programming Approach for the Computation of the Minimum-Losses Radial Configuration of Electrical Distribution Networks / A. Borghetti. - In: IEEE TRANSACTIONS ON POWER SYSTEMS. - ISSN 0885-8950. - STAMPA. - 27:3(2012), pp. 6155628.1264-6155628.1273. [10.1109/TPWRS.2012.2184306]
A Mixed-Integer Linear Programming Approach for the Computation of the Minimum-Losses Radial Configuration of Electrical Distribution Networks
BORGHETTI, ALBERTO
2012
Abstract
The paper deals with the solution of the minimum-losses configuration problem of distribution networks including embedded generation by means of a mixed-integer linear programming (MILP) model. A model is proposed that takes into account the typical operating constraints of distribution networks (radial configuration, branch ampacity limits, and bus voltage requirements) and the presence of embedded generation. The accuracy of the results and the computational performances of the proposed MILP model are evaluated by using test networks already analyzed 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.
