Abstract The increase in electrification demand in the residential and transportation sectors significantly changes the electricity demand profile, which leads to a change in the shape of the demand peak. These changes in demand profiles, especially when energy use is high and unplanned, can overload the network and reduce network reliability. In this thesis, a scheduling mechanism for electric vehicle (EV) charge-discharge scheduling is proposed for peak demand management in residential distribution networks. The proposed plan uses a fixed price power incentive to encourage subscribers to use electric vehicles instead of fossil fuel vehicles. In this agreement, the goal is to minimize the cost for subscribers and reduce the peak demand. In order not to exaggerate the cost minimization for subscribers, the cost of battery destruction and the factors affecting it are included in the calculations. In this plan for smoothing the load curve (PSVF), an attempt has been made to establish coordination between solar electricity production and charging and discharging schedules of electric vehicles. Uncertainty is also taken into account for the accuracy of the predictions. The proposed scheme is eva‎luated using simulation in a distribution network in Sydney, Australia. The results show the effectiveness of the proposed plan to minimize the cost of electricity for electric car owners. Comparisons show that the proposed plan can reduce the load factor up to 13%, the peak load up to 39% and the cost up to 58% on a hot day of the year and on a cold day of the year it can increase the load factor up to 13% and the peak load up to 44 % and improve cost by 55% compared to asynchronous scheduling. It should be noted that in the conditions of 100% use of electric vehicles by households and the use of the proposed management plan, the amount of demand still does not exceed the capacity of the network. So, as a result, there is no need to upgrade the infrastructure.

حميدرضا عبدالمحمدي

احسان آزاد فارساني , امير حسيني