Electric Vehicles (EVs) have been penetrated to the modern distribution system in last decade. On the other hand, Renewable Energies (RE) play serious task in such Micro-Grids (MG). A typical MG consists of several Distributed Energy Resources (DER) including Distributed Generations (DGs) and Demand Response (DR) as well as EVs charge/discharge stations. In this paper optimal charging and discharging strategies based on DR programs applied on Electric Vehicles charging station equipped with renewable energies. To avoid profit loosing due to renewable uncertainties, Peer to Peer (P2P) energy bartering between EVs charging station as procumers is suggested in this paper. Hence the management system for charge and discharge of EVs and station batteries, as well as Energy Management System (EMS) are developed in this paper. To this end firstly developed EMS applied to the individual station. Secondly the P2P power transaction added to the model in order to smoothen volatile uncertain load and renewables. The proposed model is a Mixed-Integer Linear Programming (MILP) and has been solved by GAMS/CPLEX. Numerical studies have been shown that aggregator deployment is more beneficiary for Virtual Power Plant (VPP).