چكيده به لاتين
The electric transportation systems (especially, electric vehicles and electric railway systems) are considered as huge demands of main electric network. Since the peak power consumption of mentioned systems, have time overlap with the peak power demand of main electric network, the supplying procedure of which, has negative impacts on the upstream grid such as expensive infrastructure, voltage deviation, harmonic, low load factor and so forth. One of the best solutions to alleviate the negative impacts is the utilization of regenerated energy of braking trains as a distributed generation in electric transportation system as well as the solar energy sources in other power systems. Therefore, in this thesis this is first time that a daily curve for distributed generations of braking trains are derived by dynamic simulation of electric railway system. Besides, the daily curve of solar generetions is derived by simulation. As the distributed generations will penetrate into the supply chains more effectively if benefit from energy storage systems, in this thesis, two configurations containing metro station and fast charging station for electric vehicles, benefitting from energy storages and distributed generations are proposed and simulated in HOMER and MATALB. The result of first configuration simulation is peak-shaving of both consumptions. Since the negative impacts of electric vehicle charging stations on distribution system are more serious, the second configuration simulation is concentrated on peak-shaving of electric vehicle charging stations, the sresults of which are also depict the peak-shaving of electric vehicle consumption. Thus, a smart energy management system defines power flow strategies so that the shifting power demand from grid point of view could be proceeded. Alleviating the negative impacts on upstream network, cost reduction and decreasing the size of network elements are the consequences of the peak shaving. To clarify the issue, the smart configurations are compared with the traditional system. The comparison between first configuration and the traditional one shows the 20 percent peak-shavong where the comparison between the second configuration and the traditional one shows more shaving of power consumption. This result begets to approving the proposed configuration as a new infrastructure for electric vehicle charging station.
