Decentralised coordinated charging of plug-in electric vehicles in unbalanced residential networks to control distribution transformer loading, voltage profile and current unbalance
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Utilization of plug-in electric vehicles (PEVs) in residential feeders is gaining increasing popularity in recent years due to the societal awareness about greenhouse gas emission and the increasing petrol price. The potential for network stress and congestion due to uncoordinated charging of PEVs is significant as they represent sizeable unbalanced loads with unpredictable locations, plug-in times, charging rates and durations. This thesis aims to mitigate the detrimental impacts of electric vehicle charging on smart grid by implementing a decentralised coordinated PEV charging algorithm (DC-PEV-CA) that will also improve the power quality of the grid. The idea is for the individual PEV chargers to acquire distribution transformer loading through the smart meters and dynamically coordinate their charging times, rates and durations in order to improve the overall system voltage profile, reduce transformer stress and control current imbalance. Simulation results will be generated and analysed for an unbalanced three-phase 62 node residential network populated with PEV chargers using the Simulink-Matlab software.
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