TY - GEN
T1 - Electric Vehicle Penetration Modelling for Costa Rica Power System
AU - Gomez-Ramirez, Gustavo A.
AU - Solis-Ortega, Rebeca
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Fossil fuel-based transportation is the main contributor to air pollution in the world. In this regard, electric vehicles (EVs) provide a viable and clean alternative. This paper shows a mathematical model to forecast EVs penetration, it also presents an application in Costa Rica Power System. A review of three forecasting methods is presented. These methods are analyzed and two of them are used to predict EVs penetration in the country for the next five years. Also, a framework of network conditions to integrate this type of technology is evaluated. ETAP software is employed to analyze the loadability and demand response of the results obtained in the EVs penetration. One scenario (the high bound) shows that by year 2025, 10315 EVs will be in circulation, this participation represents a 2.11% of the power grid. So that, new opportunities to research and analyze are also emerging for the power system under various study scenarios that can aid in power planning. The present paper provides an application and implementation in large power systems that can be used in other systems of the same size.
AB - Fossil fuel-based transportation is the main contributor to air pollution in the world. In this regard, electric vehicles (EVs) provide a viable and clean alternative. This paper shows a mathematical model to forecast EVs penetration, it also presents an application in Costa Rica Power System. A review of three forecasting methods is presented. These methods are analyzed and two of them are used to predict EVs penetration in the country for the next five years. Also, a framework of network conditions to integrate this type of technology is evaluated. ETAP software is employed to analyze the loadability and demand response of the results obtained in the EVs penetration. One scenario (the high bound) shows that by year 2025, 10315 EVs will be in circulation, this participation represents a 2.11% of the power grid. So that, new opportunities to research and analyze are also emerging for the power system under various study scenarios that can aid in power planning. The present paper provides an application and implementation in large power systems that can be used in other systems of the same size.
KW - Demand-side management
KW - Electric vehicles
KW - Forecasting methods
KW - Load management
KW - Power planning
KW - Power system management
KW - Response demand
UR - https://www.scopus.com/pages/publications/85126940009
U2 - 10.1109/CHILECON54041.2021.9703070
DO - 10.1109/CHILECON54041.2021.9703070
M3 - Contribución a la conferencia
AN - SCOPUS:85126940009
T3 - 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
BT - 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2021
Y2 - 6 December 2021 through 9 December 2021
ER -