Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles

• Published in: IEEE transactions on power delivery Vol. 30; no. 4; pp. 1677 - 1685
• Main Authors: Tahboub, Ahmad M., Pandi, V. Ravikumar, Zeineldin, H. H.
• Format: Journal Article
• Language: English
• Published: IEEE 01.08.2015
• Subjects: Clustering algorithms; Distributed generation (DG); distribution system reconfiguration; Energy loss; energy losses; fuzzy C-means clustering; genetic algorithm (GA); Load flow; load variability; Minimization; Optimization; Reactive power; Switches
• ISSN: 0885-8977; 1937-4208
• DOI: 10.1109/TPWRD.2015.2424916

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.