Open Science Research Excellence
%0 Journal Article
%A T. Lantharthong and  N. Rugthaicharoencheep
%D 2012 
%J  International Journal of Electrical and Computer Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 64, 2012
%T Network Reconfiguration for Load Balancing in Distribution System with Distributed Generation and Capacitor Placement
%U http://waset.org/publications/11048
%V 64
%X This paper presents an efficient algorithm for
optimization of radial distribution systems by a network
reconfiguration to balance feeder loads and eliminate overload
conditions. The system load-balancing index is used to determine the
loading conditions of the system and maximum system loading
capacity. The index value has to be minimum in the optimal network
reconfiguration of load balancing. A method based on Tabu search
algorithm, The Tabu search algorithm is employed to search for the
optimal network reconfiguration. The basic idea behind the search is
a move from a current solution to its neighborhood by effectively
utilizing a memory to provide an efficient search for optimality. It
presents low computational effort and is able to find good quality
configurations. Simulation results for a radial 69-bus system with
distributed generations and capacitors placement. The study results
show that the optimal on/off patterns of the switches can be identified
to give the best network reconfiguration involving balancing of
feeder loads while respecting all the constraints.
%P 409 - 414