الفهرس 
CHAPTER 1 INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Distribution system planners and operators have increasingly exposed great attention to maximizing the penetration of renewable energy resources (RERs), and electric vehicles (EVs) towards modern micro-grids. Accordingly, intensive operational and economic problems are expected in such micro-grids. Specifically, the operators need to meet the increased demand for EVs and increase the dependence on RERs. Proper energy management requires considering the uncertainties of solar irradiance and wind speed, the participation of the smart grid in the electricity market as a price maker, and the stochastic behavior of EVs for minimizing the total cost and maximizing the profit of the microgrid.
The charging strategy for EVs and the penetration level of RERs may result in increased power loss, voltage deviation, and overall system cost. To address these concerns, this thesis proposed an optimal planning approach for allocating EV charging stations with controllable charging and hybrid RERs within the microgrid. Moreover, studying the impact of increasing the charging tariff on the charging behavior and the existence infrastructure of the distribution system by proposing different scenarios to find the best performance of the microgrid, and maximize the profit of the microgrid. Furthermore, reducing the waiting queues at the charging station, capital cost of RERs, and the cost of purchased power from the main grid. The integrating of EV charging stations with hybrid RERs reduced VD, ENS, and total cost by 73.97%, 50.43%, and 29.55%, respectively, compared to base case. In addition to that proposed optimizer is superior for solving allocation problem of EV charging stations and RERs compared to the other well-known algorithms.