چکیده مقاله
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
کلیدواژهها
نویسندگان
Arash Moradzadeh
Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Aida Moradi Kondelaji
Department of Computer Engineering, Farzanegan Semnan University, Semnan, Iran,
Kamran Khaffafi
Assistant Professor, Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
شیوه ارجاع
Moradzadeh, Arash and Moradi Kondelaji, Aida and Khaffafi, Kamran,1398,Optimal Management of Charging and Discharging Electrical Vehicles in Intelligent Power Grids using Neural Networks,Sixth National Congress on Electrical Engineering and Computer Engineering of Iran with a New Approach to New Energy,Tehran
ارائهشده در
مجموعه مقالات ششمین کنگره ملی تازه های مهندسی برق و کامپیوتر ایران با نگاه کاربردی بر انرژی های نو12 اردیبهشت 1398 · تهران