Optimal Management of Charging and Discharging Electrical Vehicles in Intelligent Power Grids using Neural Networks

The use of electric vehicles in addition to reducing environmental concerns can play a significant role in reducing the peak and filling the characteristic valleys of the daily network load. the problem of charge and discharge management of electrical vehicles was evaluated using a variety of neural networks. By assessing the effect of the penetration level growth rate of hybrid electrical vehicles, which can be connected to the distribution network, the management response results of charge and discharge for proposed model are reviewed. The results indicate that due to increased penetration of these vehicles is increased the amount of responses to charge and discharge management. The results showed that electric vehicles can be used as distributed power plants. They can also be used to regulate the frequency and regulationof network voltages and provide peak traffic. finally, MLP and RNN neural networks were introduced as the suitable neural network for reducing test errors and training for this planning and they presented the best results

کلیدواژه ها:

Optimal Management ، Electric Vehicles ، Intelligent Power Grid ، Neural Networks.