Abstract. This paper shows how to compute the optimal distribution of the main elements of a photovoltaic (PV) plant with trackers connected to the network, to reduce some of the losses that occur in these facilities. In particular, the objective function of the proposed optimization process is the minimization of Joule losses that occur in electric conductors. To solve this problem, genetic algorithms (GAs), implemented in Matlab, have been used. Specifically the steady-state GA and the generational GA, which from random initial solutions, possibly far from optimal, will evolve into solutions that are increasingly closer to the desired optimum. Results have been very satisfactory, since all proposed examples have reduced by more than 50% electrical losses originated by not optimally designing the PV plant.

The grid connected photovoltaic power plant location problem has shown to be really complex over the last few years. Engineers and scientists have shown deep interest in developing an efficient tool able to consider all distinct variables that enter into the problem.This work designs a model that, using Geographic Information Systems and a Multicriteria Evaluation Methodology, has proven to be a very valuable tool for spatial analysis which is of great help when making decisions about the Optimal Location of grid connected photovoltaic power plants, considering in this decision both electrical and environmental factors.