Reconstructing power systems has changed the traditional planning of
power systems and has raised new challenges in transmission expansion
planning (TEP). In this paper, investment cost, cost of density and
dependability have been considered three objectives of optimization.
Also, multi-objective genetic algorithm NSGAII was used to solve this
non-convex and mixed integer problem. A fuzzy decision method has been
used to choose the final optimal answer from the Pareto solutions
obtained from NSGAII. Moreover, to confirm the efficiency of NSGAII
multi-objective genetic algorithm in solving TEP problem, the algorithm
was implemented in an IEEE 24 bus system and the gained results were
compared with previous works in this field.