In this paper, a new formulation for distribution
system reconfiguration (DSR) is proposed for minimizing the
annual energy losses considering the variability in active and
reactive power demand and distributed generation (DG) profiles.
A fuzzy C-means clustering algorithm is used to obtain representative
centroids from annual DG and power demand profiles.
The DSR study is formulated as a mixed-integer nonlinear programming
optimization problem and tested on a 33-bus and an
84-bus system. The minimization is subject to the power balance,
bus voltage, and distribution system radiality constraints. Using
this formulation, a single optimum configuration that minimizes
annual energy losses is found and shown to be different from
the optimum configuration, found in previous literature, which
focuses on minimizing power losses at peak or average loads. In
addition, the prospective advantages of grid automation on DSR
are demonstrated to provide further energy loss reduction by
including the possibility of interchanging a predefined number of
configurations that minimize annual energy losses.
A. M. Tahboub, Dr. V. Ravikumar Pandi, and Zeineldin, H. H., “Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles”, IEEE Transactions on Power Delivery, vol. 30, pp. 1677-1685, 2015.