Transactive energy based approach for large-scale plug-in electric vehicle charging control
Department of Electrical and Computer Engineering
This paper presents a transactive energy (TE) based control approach for planning the charging activities of plug-in electric vehicles (PEVs). In the presented framework, individual PEV owners propose charging bids to minimize the charging cost. The proposed bids depend on the charging urgency and the day-ahead electricity price forecast. Considering the scalability of the system, aggregators at the node-level are designed to collect the bids for a group of PEVs within a node and submit a combined bid for the node to the market in a distribution network. The market clears the electricity price based on the bids, grid constraints, and the day-ahead electricity price. When the received power from the market is less than that of the total PEV power demand, power dispatch is required to effectively allocate the available power to individual distribution nodes and PEVs. Economic power dispatch algorithms are designed to minimize grid power loss and the difference of bidding cost and actual charging cost. A case study shows that the PEV charging cost and the overloading of the distribution network can be reduced significantly with the presented method.
2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
Transactive energy based approach for large-scale plug-in electric vehicle charging control.
2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).
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