| Title |
Analysis and Pattern Deduction of Actual Electric Vehicle Charging Data |
| Authors |
김준혁(Jun-Hyeok Kim) ; 문상근(Sang-Keun Moon) ; 이병성(Byung-Sung Lee) ; 서인진(In-Jin Seo) ; 김철환(Chul-Hwan Kim) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.11.1455 |
| Keywords |
Electric Vehicles(EVs) ; Big data ; Charging patterns ; Actual data |
| Abstract |
As the interests in eco-friendly energy has increased, the interests in Electric Vehicles(EVs) are increasing as well. Moreover, due to the government's economic support for EVs, penetration level of it has rapidly increased. These sharp increases, however, induce various problems in distribution system, such as voltage/frequency variations, peak demand increasement, demand control, etc. To minimize these possible matters, lots of research have conducted. Nevertheless, most of it assumed extremely important factors, such as numbers and charging patterns of EVs. It inevitably results in errors in their research, and thus make it difficult to prevent the possible matters from EVs. In this paper, therefore, we use actual EVs charging data from KEPCO, and analysis and deduction of it were conducted. The simulations were carried out for four aspect(season, region, purpose). |