A hybrid programming for distribution reconfiguration of dc microgrid

This paper presents a hybrid programming (HP) technique to solve the dc microgrid reconfiguration problem for loss reduction and service restoration. By using the proposed algorithm, a more efficient network configuration can be obtained to reduce loss. The problem is optimized in a stochastic searching manner similar to that of the evolutionary programming (EP). The initial population is determined by opening the switches with the lowest current in every mesh derived in the optimal power flow (OPF) with all switches closed. To avoid prematurity, HP technique was applied to adjust the number of mutant elements adaptively. Tabu Lists with heuristic rules were employed in the searching process to enhance performance. Simulation results show that the proposed algorithm has advantages than the earlier developed algorithms. The optimization strategy is general and can be used to solve other power system optimization problems as well.