Title :
A Mixed-Integer Linear Programming Approach for the Computation of the Minimum-Losses Radial Configuration of Electrical Distribution Networks
Author :
Borghetti, Alberto
Author_Institution :
Dept. of Electr. Eng., Univ. of Bologna, Bologna, Italy
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.
Keywords :
distribution networks; integer programming; linear programming; MILP model; branch ampacity limits; bus voltage requirements; computational performances; electrical distribution networks; embedded generation; minimum-losses radial configuration; mixed-integer linear programming approach; Computational modeling; Equations; Generators; Mathematical model; Minimization; Substations; Vectors; Graph theory; mixed-integer linear programming (MILP); optimal network configuration; power loss minimization; radial distribution networks;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2184306
