چكيده به لاتين
The sudden rise of electric vehicles also causes problems, including the uneven connection to the power grid, which has a very adverse effect on the network, such as voltage deviations from the permitted range, harmonics, an increase in losses and network upgrades to the point where the possibility of collapse of the network occurs. This illustrates the need for automotive connectivity planning, the purpose of which is to reduce losses and increase network efficiency, load curvature smoothing and voltage control within the range allowed to prevent collapse of the network. Therefore, in order to overcome the challenges and optimize the chances of using electric vehicle, there is a need for planning the charging and discharging of these vehicles, which can be seen from various aspects and considering different economic or technical goals, different planning mechanisms were presented. In all of these planning mechanisms, demand side management should be considered and uncertainty mechanisms used for optimization. The uncertainties we are facing in this case are the behavior of the car customers and the amount of initial charge and the amount it needs to be, to model it in order to optimize and respond as closely as possible to the reality of the distribution functions. The probability is because of the normal distribution function. This integrated management should be used in a smart place to provide integrated management and comprehensive information for accurate planning and as close as possible to the appropriate responsiveness. Now a very important issue that seems to be to be addressed is the discussion of system losses, as well as the improvement of the voltage profile of distribution systems by managing the charge and discharge of electric vehicles as an applicant unit as well as production. Therefore, the main purpose of this thesis is to provide a planning mechanism for managing the charge and discharge of electric vehicles in such a way that power losses are minimized. In fact, in the optimization problem, our fitness function is power losses as well as voltage. Simulation results have been performed using learning and teaching algorithm that indicate the effectiveness of the proposed method in the amount of profit from the use of electric vehicles
