Showing papers by "Mustafa Şekkeli published in 2023"
TL;DR: In this paper , the authors performed EV electrical modeling over a charging period by Monte Carlo Simulation using the actual charging data of some EV models charged in a Level 2 charger and validated the generated probabilistic model by comparing it with real data.
Abstract: Electric vehicles (EVs) are expected to reduce carbon emissions from transportation. For this reason, many vehicle manufacturers, countries and international organizations develop their energy and transportation policies in this direction and also support them with practices. As a result of the policies implemented and developments in battery technologies, serious increases are expected in the sales of the EV sector. However, there should be sufficient charging sta- tions for EV charging. The increase in charging stations is expected to cause some positive and negative effects on the grid. In order for electric vehicles to be more acceptable in terms of power systems, it is necessary to understand what kind of electrical character they show.
In this article, EV electrical modeling is performed over a charging period by Monte Carlo Simulation using the actual charging data of some EV models charged in a Level 2 charger.
The generated probabilistic model was validated by comparing it with real data. Thus, a reli- able modeling has been presented for EV, which is a new load in power systems.
1 citations
TL;DR: In this paper , the authors used histogram fields to examine ramp rates of 5%, 7.5%, and 10% of the installed power in 1, 3, and 6-hour periods.
Abstract: This study aims to seasonally examine run-of-river type hydroelectric power plants' ramp rates (generation changes) (RoRHPP). Turkey RoRHPP generations were obtained for this objective between 01 December 2020 and 01 December 2021. Obtained data are hourly resolution and belong to 560 plants. The total installed power of the plants used in work is 7897.06 MW. This study used histogram fields to examine ramp rates of 5%, 7.5%, and 10% of the installed power in 1, 3, and 6-hour periods. As a result of the investigations, the cumulative histogram areas of the ramps of 5% and above in 6 hours temporal periods of the spring, summer, autumn, and winter seasons were calculated as 39430.94, 22117.72, 17811.76, and 34914.32, respectively. When these ramps are evaluated according to their directions, the histogram areas of positive ramp (generation increase) in spring, summer, autumn, and winter are 20052.1, 10945.74, 9095.8, and 17303.19, respectively. The histogram areas of the negative ramps (reduction of generation) in spring, summer, autumn, and winter are 19378.84, 11171.98, 8715.96, and 17611.13, respectively. According to all these results, ramp events in Turkey's RoRHPP productions occurred the most in the spring. In addition, It was also concluded that positive ramp events occurred more in all seasons.