Distribution System Reconfiguration for Loss Reduction Incorporating Load and Renewable Generation Uncertainties

Abstract

A significant share of losses in power systems occurs in distribution network due to lower voltages and longer lines. On top of that, unbalanced operation causes additional losses in these networks. In recent years with the development of distributed generation connected to the distribution grid, the concern over frequency and intensity of unbalanced operation has risen. Reconfiguration of these distribution networks plays a significant role in power loss minimization and voltage quality enhancement. The uncertainty regarding grid-connected DG resources and net loads are among the critical factors that must be taken into account. To do so, in this paper a novel Fuzzy-based reconfiguration method is proposed to improve the hourly power loss in distribution systems incorporating load and renewable generation uncertainties. In addition, a modified Genetic Algorithm is employed in order to maintain the radial structure of the network and reduce the computation time of the proposed technique. To illustrate the effectiveness of the proposed method, a simulation based analysis is carried out on IEEE 33 bus distribution system.