Charge Management of Electric Vehicles in Grids with Distributed Generation (DG) Systems for Reducing Grid Peak and Improvement in its Technical Parameters

Background/Objectives: Growth in technologies related to electric vehicles and using the Renewable energy sources are increasing in Distributed Generation systems (DGs). Due to the nature of Renewable sources, output of these units is mostly uncontrollable. The nature of energy use in electric Vehicles has also probabilistic properties. So, the management and control of electric vehicles along with renewable sources may lead the sources to become more economic and increase potentials for their utilization. Methods/Statistical Analysis: In this paper, a method is proposed for modeling the impact of producing the renewable energy sources with different types of electric Vehicles (in terms of control) on load curve. In the proposed method, the strategy of charging and discharging of electric Vehicles has been taken based on different models and the variety of consumption pattern of electric vehicles (different levels of Controllability) has been taking into account. Electric Vehicles charge and discharge management plan has been developed to reduce the volatilities level of uncontrollable energy with variable output and also in order to reduce the peak of network. Results: The proposed strategy of Charge is based on maximum use of distributed generation supplies and in order to smooth the load curve of overhead network more than ever. The goal will be realized by minimizing the power received from the overhead network during the peak hours. The proposed method will improve the network parameters (reduction of received power peak of grid from overhead network) and reduce the losses and transmission power of microgrid lines by transmitting the loads of charging electric vehicles from the peak hours of overhead networks to extra hours for generation of DGs. Conclusion/Application: The proposed planning reduced the demand from the overhead network at peak hours by means of the charge and discharge control on electric vehicles.