TY - JOUR
T1 - Development of Smart Charging Scheduling and Power Management Strategy of a PV-ESS based Scalable EV Charging Station
AU - Jaman, Shahid
AU - Verbrugge, Boud
AU - Zhaksylyk, Assel
AU - Geury, Thomas
AU - El Baghdadi, Mohamed
AU - Hegazy, Omar
N1 - Funding Information:
This work was supported by the Horizon 2020 Programme of the European Commission under grant agreement no. 875131 (eCharge4Driver project). We, as authors, also acknowledge Flanders Make for the support to our research group.
Publisher Copyright:
© 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2023/12/13
Y1 - 2023/12/13
N2 - This paper describes smart power management and charging scheduling strategy for a multiple port electric vehicle (EV) charging station, connected to battery storage systems and renewable energy sources. The station can charge scooters and pabenger cars at different power levels. The energy management optimizes the power sources by analyzing the overall load demand, the electricity tariff, and the information provided by the EV user. The station's control system is set up to satisfy the charging demand primarily with a solar photovoltaic (PV) array and an energy storage system (ESS) as a battery. In the case of PV power generation and battery power shortage, it draws power from the grid to fulfill the charging demand. Additionally, a charging scheduling strategy is described in which the charging current setpoint is estimated by an optimization process in the local charger controller.
AB - This paper describes smart power management and charging scheduling strategy for a multiple port electric vehicle (EV) charging station, connected to battery storage systems and renewable energy sources. The station can charge scooters and pabenger cars at different power levels. The energy management optimizes the power sources by analyzing the overall load demand, the electricity tariff, and the information provided by the EV user. The station's control system is set up to satisfy the charging demand primarily with a solar photovoltaic (PV) array and an energy storage system (ESS) as a battery. In the case of PV power generation and battery power shortage, it draws power from the grid to fulfill the charging demand. Additionally, a charging scheduling strategy is described in which the charging current setpoint is estimated by an optimization process in the local charger controller.
UR - http://www.scopus.com/inward/record.url?scp=85182939771&partnerID=8YFLogxK
U2 - 10.1016/j.trpro.2023.11.583
DO - 10.1016/j.trpro.2023.11.583
M3 - Article
VL - 72
SP - 1240
EP - 1247
JO - Transportation Research Procedia
JF - Transportation Research Procedia
SN - 2352-1457
IS - 1
M1 - TRPRO15962
ER -