Title :
Sparsity-Leveraging Reconfiguration of Smart Distribution Systems
Author :
Dall´Anese, Emiliano ; Giannakis, Georgios
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
A system reconfiguration problem is considered for three-phase power distribution networks featuring distributed generation. In lieu of binary line selection variables, the notion of group sparsity is advocated to re-formulate the nonconvex distribution system reconfiguration (DSR) problem into a convex one. It is shown that the line selection task boils down to a shrinkage and thresholding operation on the line currents. Further, numerical tests illustrate the ability of the proposed scheme to identify meshed, weakly meshed, or even radial configurations by adjusting a sparsity-tuning parameter in the DSR cost. Constraints on the voltages are investigated and incorporated in the novel DSR problem to facilitate voltage regulation.
Keywords :
concave programming; convex programming; distributed power generation; shrinkage; voltage control; binary line selection variable; convex programming; distributed generation; group sparsity; line currents; nonconvex DSR problem; nonconvex distribution system reconfiguration; numerical tests; radial configurations; shrinkage operation; smart distribution system; sparsity leveraging reconfiguration; sparsity tuning parameter adjustment; three phase power distribution network; thresholding operation; voltage regulation; Approximation methods; Indexes; Load modeling; Network topology; Symmetric matrices; Topology; Vectors; Convex programming; distribution networks; sparsity; system reconfiguration;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2014.2302912