TY - GEN
T1 - Implementation of Electric Vehicle and Grid Integration
AU - Aziz, Muhammad
AU - Huda, Muhammad
AU - Budimanl, Bentang Arief
AU - Sutanto, Erwin
AU - Sambegoro, Poetro Lebdo
N1 - Funding Information:
ACKNOWLEDGMENT The study is partially supported by Mitsubishi Corporation Collaborative Research Chair, Institute of Innovative Research, Tokyo Institute of Technology.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Electric vehicles (EVs) have received massive attention in their adoption as transportation and energy-assisting instruments. This phenomenon has been led mainly by the increased awareness and experience of the user (driver) on EVs regarding their excellent driving convenience, clean environment, and energy efficiency. Besides, several government policies also have driven the new user to shift from conventional vehicles to EVs following several favorable treatments, especially related to taxes. Generally, EVs have large battery capacity which can be controlled in both charging and discharging. Therefore, the idea of Vehicle-Grid Integration (VGI) has emerged recently, following the increased grid stress due to the massive charging of EVs and the opportunities to control and utilize EVs to participate in grid ancillary services. Several possible ancillary services include frequency regulation, load leveling (peak shaving), renewable energy storage, voltage regulation, and congestion mitigation. In this study, a preliminary analysis on the implementation of VGI in Indonesian grid, especially related to load leveling and frequency regulation, is discussed. Indonesian grid currently faces several problems, especially related to its quality and capability to balance and response to the fluctuating supply and demand. The well-coordinated EVs give high opportunity to the grid to utilize them as huge and responsive power storage to balance and maintain the electrical grid quality.
AB - Electric vehicles (EVs) have received massive attention in their adoption as transportation and energy-assisting instruments. This phenomenon has been led mainly by the increased awareness and experience of the user (driver) on EVs regarding their excellent driving convenience, clean environment, and energy efficiency. Besides, several government policies also have driven the new user to shift from conventional vehicles to EVs following several favorable treatments, especially related to taxes. Generally, EVs have large battery capacity which can be controlled in both charging and discharging. Therefore, the idea of Vehicle-Grid Integration (VGI) has emerged recently, following the increased grid stress due to the massive charging of EVs and the opportunities to control and utilize EVs to participate in grid ancillary services. Several possible ancillary services include frequency regulation, load leveling (peak shaving), renewable energy storage, voltage regulation, and congestion mitigation. In this study, a preliminary analysis on the implementation of VGI in Indonesian grid, especially related to load leveling and frequency regulation, is discussed. Indonesian grid currently faces several problems, especially related to its quality and capability to balance and response to the fluctuating supply and demand. The well-coordinated EVs give high opportunity to the grid to utilize them as huge and responsive power storage to balance and maintain the electrical grid quality.
KW - electric vehicle
KW - frequency regulation
KW - grid integration
KW - load levelling
UR - http://www.scopus.com/inward/record.url?scp=85062773785&partnerID=8YFLogxK
U2 - 10.1109/ICEVT.2018.8628317
DO - 10.1109/ICEVT.2018.8628317
M3 - Conference contribution
AN - SCOPUS:85062773785
T3 - Proceeding - 2018 5th International Conference on Electric Vehicular Technology, ICEVT 2018
SP - 9
EP - 13
BT - Proceeding - 2018 5th International Conference on Electric Vehicular Technology, ICEVT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Electric Vehicular Technology, ICEVT 2018
Y2 - 30 October 2018 through 31 October 2018
ER -
