Electric vehicles are new and growing loads in distribution networks. Increasing number of electric vehicles ina distribution network causes increasing of electic energy demand.In the absence of any energy consumption managment,some distribution system operation constraints (e.q buses voltage magnitudes or rating currents of the branches) may be violated.Energy management of electric vehicles can reduce power losses and voltage drop in distribution networks.Power electronic devices (usually called charger) are used for charging and discharging the batteries. Charger could be unidirectional (transfer the energy from network to the battery) or bidirectional. Bidirectional charger works in four states, namely: receive active and reactive power, deliveryactive and reactive power, receive active power and deliveryreactive power, receive reactive power and deliveryactive power. And also a full communication network between the distribution network operator and the electric vehicles (as a portion of a smart grid) is required to achieve the best solution. This thesis presentsan active and reactive power management in a smart distribution network considering electric vehicles. Basically, the problem is a nonlinear by itself.Minimizing the energy costs and also the voltage profile are introduced as the objective function. The constraints of the problem are power flow equations, electric vehicle constraints and system limites. In this thesis, the introduced nonlinear multi objective problem is converted to amixed integer linear programming and solved using GAMS package.The method is successfully tested on the 33 bus network. Keywords: Active and Reactive Power Management, Smart Distribution Network, Electric Vehicles, Mixed Integer Linear Programming