Abstract
Large-scale penetration of electric vehicles (EVs) would significantly increase the load requirements of buildings in highly urbanized cities. EVs exhibit higher degree of charging flexibility when compared to other interruptible loads in buildings. Hence, EVs can be assigned lower priority and interrupted before interrupting any other loads. Any temporary interruption will have minimum impact on EV owner's satisfaction/comfort. However, it should be ensured that the EVs could be charged to the owner's required state of charge (SOC) by the time of departure. The scheduling algorithms that are used to manage the EV charging process ensure that the charging requirements are fulfilled even when there are temporary interruptions. The capability of the scheduling algorithms to manage mismatches decreases with the decrease in time available for charging. In this paper, the impact of demand response management (DRM) on the chargeability of the EVs while using different priority criteria is examined. Subsequently, the proportion of interruption for each EV with different priority criteria and the need for determining the chargeability of EVs before shedding them are studied. A scheduling driven algorithm is proposed which can be used for determining the chargeability of EVs and can be used in combination with DRM.
Highlights
Deployment of Electric Vehicles (EVs) is considered as one of the solutions for achieving cleaner and greener mobility in highly urbanized cities around the world
If it can be ensured that the EVs can be charged to the desired state of charge (SOC) at the time of departure, lower priority could be assigned to EV load demand
An analysis on the impact of demand response management (DRM) on the chargeability of EVs was carried out using stochastic simulations
Summary
Deployment of Electric Vehicles (EVs) is considered as one of the solutions for achieving cleaner and greener mobility in highly urbanized cities around the world. If it can be ensured that the EVs can be charged to the desired SOC at the time of departure, lower priority could be assigned to EV load demand. This is owing to the fact that any temporary interruption in EV charging will have insignificant effect on satisfaction/comfort of the EV owner. Chances that an EV load is shed using demand response management (DRM) are minimal while using appropriate scheduling algorithms. In case of highly urbanized cities such as Singapore, most of the EVs will be charged together (in groups) in parking lots Such a charging pattern is highly suitable for using EVs in DRM as flexible loads and offers a wide range for load demand control. The major contributions of the paper are the analyses on the impact of DRM on chargeability and the proposed novel scheduling driven chargeability algorithm for determining the suitability of the EVs for DRM in any given interval
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