This paper evaluates the charging strategies for electric vehicles in the parking lots and also their impacts on the distribution networks. A three-stage procedure is presented for the analysis. In the first stage, electric vehicles-related random data in the parking is generated based on a multivariate statistical distribution in the historical database. In order to provide a comprehensive review, the database should include the behavior of vehicles at the events of arrival and departure. Accordingly, several scenarios are considered in the formation of a comprehensive database. Then, the second stage is performed to run charging strategies based on constant time, constant power, network load curve smoothing, minimizing energy consumption cost of the network and proposed maximizing profit of vehicle and parking). In the third stage, the obtained load curves and their probabilities are applied to the IEEE standard systems. At this stage, the effect of strategies is examined by considering all possible scenarios. These assessments are based on the network operation principles which include parking location in different busses of the network and its effect on the voltage profile and losses. The future value of the network energy cost and losses for each scenario and its probability are calculated based on the inflation rate at the end of project life. Results show that network loss cost in all strategies are the same but in profit-based scheduling, less deviations are observed in the generated scenarios. However, bus voltages drop in the studied networks with mentioned strategy are in acceptable range.
