Preference-based Multiobjective Evolutionary Algorithm for Power Network Reconfiguration

Power network reconfiguration is a complex nonconvex, nonsmooth and nonlinear optimization problem. A preference-based multiobjective evolutionary algorithm is proposed to incorporate the preference for different objectives for network reconfiguration optimization.Three objectives about generators, lines and loads are proposed to establish a preference multiobjective optimization model. To handle the preference and high discreteness of the suggest model, a preference-based discrete nondominated sorting genetic algorithm II (PD-NSGA-II) is designed, with which solutions with required quantity and high quality are obtained. The simulation results demonstrate that the proposed method can reasonably balance different objectives about network reconfiguration, and PD-NSGA-II is more efficient than other algorithms in solving network reconfiguration optimization problem.