Korea Energy Economics Institute, 405-11 Jonggaro, Junggu, Ulsan 44543, South Korea
To understand the Electric Vehicle (EV) management effects deeply using Smart Grids (SGs) in the electric power sector, it is necessary to examine supply specifics such as the generation mix, generation costs, and CO2 emissions as well as the demand sector including peak load. This study attempts to comprehensively examine the changes in power supply and demand their effects in accordance with the degree of SG utilization, based on a scenario for the projection of EV roll-out in South Korea.
This study considers the change of the generation capacity mix as well as the change of power generation mix using the WASP model for the analysis of SG effects on EV management. In the scenario of the Korean government's EV deployment, this study has confirmed how electric power demand changes according to the degree of smart grid utilization. In addition, the WASP model has been used to examine not only the power generation mix but also the change in the installed capacity.
As a result, if the share of cost-effective and clean power generation sources is below the minimum load, the unit cost and CO2 emission could not be reduced together even though SGs are used to manage EVs.
Increasing the share of power generation from clean energy sources to a level higher than that of the minimum load will allow EVs to become an eco-friendly means of transportation.
Keywords: Electric vehicles, Smart grids, Electricity supply and demand, ITF, Power capacity min, EEA.
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