Power Distribution System Planning for Smart Grid Applications using ANN

Although Smart grid applications increases rapidly but still the clear definition of smart grid varies according to different grasps of the matter. Basically, the smart grids will be characterized by a two-way flow of electricity and information and will be capable of monitoring everything from power plants to customer preferences to individual appliance. In fact, finding the suitable scheme to approach a reliable distribution system to overcome all expected changes and applications due to the smart grid is a very crucial and wise task. In this paper an operational scheme for a better performance of the power distribution system in the presence of distributed generation (DG) has been proposed. An artificial intelligence technique has been introduced in form of artificial neural network (ANN) for voltage monitoring and generation output optimization. The results show an efficient utilization of neural network which results in more controllable and observable power distribution system.