| Title |
The Prediction of Total Revenue of V2G System Considering Battery Wear Cost |
| Authors |
Il-Kuen Won ; Do-Yun Kim ; An-Yeol Ko ; Chang-Hyun Shin ; Jun-Ha Hwang ; Young-Real Kim ; Chung-Yuen Won |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2015.29.4.085 |
| Keywords |
Formative Time-lag ; Transient Impedance |
| Abstract |
Recently, research on the smart grid that combines ICT(Information & Communication technology) to the power system has been actively progressed. If the occupancy of the EV(Electric vehicle) is increased. the V2G(Vehicle to grid) system is available which constitutes the micro-grid through battery of EV. V2G system performs load leveling and efficient energy consumption by battery operation considering load condition. But, if the battery is used only depending on the electricity rates, it doses not consider the life of the battery. The ACC(Achievable cycle) and the total transferable energy of battery varies corresponding to the selected DOD(Depth of discharge). In this paper, the optimal DOD selection method of V2G system considering battery wear cost and average driving distance of EV. Also, the total revenue prediction of various nation is presented considering the actual electricity costs per hour. |