| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1550715 | Solar Energy | 2012 | 15 Pages |
In this paper, a novel multi-objective artificial bee colony algorithm is presented to solve the distribution system reconfiguration and hybrid (photo voltaic/wind turbine/fuel cell) energy system sizing. The purposes of the multi-objective optimization problem include the total power loss, the total electrical energy cost, and the total emission produced by hybrid energy system and the grid minimization, and the voltage stability index (VSI) of distribution system maximization. In the proposed algorithm, an external archive of non-dominated solutions is kept which is updated in each iteration. In addition, for preserving the diversity in the archive of Pareto solutions, the crowding distance operator is used. This algorithm is tested on 33 bus distribution systems and obtained non-dominated solutions are compared with the well-known NSGA-II and MOPSO methods. The solutions obtained by the MOABC algorithm have a good quality and a better diversity of the Pareto front compared with those of NSGA-II and MOPSO methods.
► Distribution system reconfiguration and hybrid system sizing is verified in this paper. ► Multi-objective artificial bee colony algorithm is used for optimization problem. ► Proposed algorithm tested on 33 bus distribution system. ► Proposed MOABC algorithm has better performance than NSGAII and MOPSO methods.
