Abstract:
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.
