%0 Journal Article
%T Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II
%A Bogdan Tomoiag£¿
%A Mircea Chindri£¿
%A Andreas Sumper
%A Antoni Sudria-Andreu
%A Roberto Villafafila-Robles
%J Energies
%D 2013
%I MDPI AG
%R 10.3390/en6031439
%X Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. The authors propose an original method, aiming at achieving such optimization through the reconfiguration of distribution systems taking into account various criteria in a flexible and robust approach. The novelty of the method consists in: the criteria for optimization are evaluated on active power distribution systems (containing distributed generators connected directly to the main distribution system and microgrids operated in grid-connected mode); the original formulation (Pareto optimality) of the optimization problem and an original genetic algorithm (based on NSGA-II) to solve the problem in a non-prohibitive execution time. The comparative tests performed on test systems have demonstrated the accuracy and promptness of the proposed algorithm.
%K power distribution systems
%K reconfiguration
%K genetic algorithms
%K multi-objective optimization
%K Pareto optimality
%U http://www.mdpi.com/1996-1073/6/3/1439