The Use of Genetic Algorithm in Economic Optimization of Hybrid System to Electrify Distant Areas Iran

At the beginning of the 3rd AD millennium، industrially and economically fundamental changes have taken place in most developed and/or developing countries. Economically، concerning the perspective ahead of these communities، one of the most important issues occupying all of their authorities’ minds is energy provision. Meanwhile، optimization of energy systems and use of new energies as the replacement for fossil ones is deemed important. In this study hybrid system optimization was made using the genetic algorithm method، including the energies wind، sun، diesel، and battery. The results showed that in order to minimize the costs of using the hybrid system only the one containing photovoltaic and battery should be used due to high radiation potential.