TY - GEN
T1 - SoC-Dependent Electric Vehicle Model for Frequency V2G Support Service
AU - Pradana, Adlan
AU - Nadarajah, Mithulanathan
AU - Haque, M. M.
AU - Sharma, Rahul
AU - Setiadi, Herlambang
AU - Kristianto, Awan Uji
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the emergence of the Electric Vehicle, there is an awareness in the power system community to utilize this opportunity for the grid's benefit. Vehicle to Grid (V2G) idea could come into realization through the bidirectional procedure, allowing higher penetration of renewable energy and electric vehicles. One of options is employing V2G as frequency support with inertia control. It is crucial to analyze how uncertainties (e.g. location, time, and condition of EVs) will impact the state of the grid. This research is trying to analyze this impact. Moreover, the battery as the core of V2G has behavior which highly related to its State of Charge (SoC). First, the SoC-dependent battery is modeled. Then, the complex power system is simplified by two area systems. Optimum gains are attained by Gradient Descent-Square Quadrature Program (GD-SQP). Finally, the outcome are tested by several scenarios. It is revealed that SoC-dependent EV's characteristic forces a condition where an improper assortment of gain value sets could produce system instability.
AB - With the emergence of the Electric Vehicle, there is an awareness in the power system community to utilize this opportunity for the grid's benefit. Vehicle to Grid (V2G) idea could come into realization through the bidirectional procedure, allowing higher penetration of renewable energy and electric vehicles. One of options is employing V2G as frequency support with inertia control. It is crucial to analyze how uncertainties (e.g. location, time, and condition of EVs) will impact the state of the grid. This research is trying to analyze this impact. Moreover, the battery as the core of V2G has behavior which highly related to its State of Charge (SoC). First, the SoC-dependent battery is modeled. Then, the complex power system is simplified by two area systems. Optimum gains are attained by Gradient Descent-Square Quadrature Program (GD-SQP). Finally, the outcome are tested by several scenarios. It is revealed that SoC-dependent EV's characteristic forces a condition where an improper assortment of gain value sets could produce system instability.
KW - electric vehicle
KW - gradient descent-square quadrature program
KW - inertia control
KW - state of charge
KW - vehicle to grid
UR - http://www.scopus.com/inward/record.url?scp=85152042544&partnerID=8YFLogxK
U2 - 10.1109/APPEEC53445.2022.10072057
DO - 10.1109/APPEEC53445.2022.10072057
M3 - Conference contribution
AN - SCOPUS:85152042544
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
BT - 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference, APPEEC 2022
PB - IEEE Computer Society
T2 - 14th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2022
Y2 - 20 November 2022 through 23 November 2022
ER -
