A VALIDATION OF REAL-TIME RESPONSES FOLLOWING TO LONGTERM CHARGING SCHEDULE OF PV-INTEGRATED ELECTRIC TWO-WHEELER CHARGING STATIONS

Abstract

Studies show that the charging coordination in electric vehicle charging
stations can offer many economic and technical benefits. Scheduling algorithms
often consider a working day as a series of time-steps (15 - 30 minutes) and
solve constrained optimization problems in order to achieve technical and/or
economic objectives. However, in order to realize those long-term charging
schedules, studies on the real-time responses following to commands derived
from long-term scheduling should be considered. In Vietnam, recent studies also
show a transition in urban transport in which two-wheeled electric vehicles and
charging infrastructure are emerging as an alternative to conventional gasolinepowered motorcycles. Following the transition, in this study, the authors
conduct model and investigate the real-time responses of two-wheeled electric
vehicle charging stations which should consistent with the long-term charging
schedule. This study aims to further supplement the feasibility of the long-term
charging schedule algorithm for electric vehicle charging stations.