Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 14, Issue 3, Pages 2125-2139Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2022.3204761
Keywords
Voltage control; Peer-to-peer computing; Costs; Computational efficiency; Batteries; Transactive energy; Pricing; Electric vehicle (EV); EV aggregator (EVA); flexibility; flexibility pricing; transactive control and coordination; congestion and voltage management
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This paper presents a novel framework for network-aware coordination of aggregated electric vehicles (EVs) via transactive control in distribution networks considering the operating constraints of the network. The proposed framework facilitates participation of EVs in local energy markets through aggregators, while their preferences and privacy are preserved. The flexibility of EVs in charging-discharging is employed to resolve the congestion and voltage problems in distribution networks. The performance of the proposed method is evaluated in various case studies conducted on the IEEE 55-node, 100-node and 302-node LV European test systems. Simulation results and a comparative study demonstrate the effectiveness of the proposed framework in terms of achieving high-quality congestion and voltage management, satisfying EV owners' preferences, and computation efficiency.
This paper presents a novel framework for network-aware coordination of aggregated electric vehicles (EVs) via transactive control in distribution networks considering the operating constraints of the network. The proposed framework facilitates participation of EVs in local energy markets through aggregators, while their preferences and privacy are preserved. The flexibility of EVs in charging-discharging is employed to resolve the congestion and voltage problems in distribution networks. To this end, in addition to the market price, a flexibility price is considered to encourage EVs to contribute to the congestion and voltage management in the network. The performance of the proposed method is evaluated in various case studies conducted on the IEEE 55-node, 100-node and 302-node LV European test systems. Simulation results and a comparative study demonstrate the effectiveness of the proposed framework in terms of achieving high-quality congestion and voltage management, satisfying EV owners' preferences, and computation efficiency.
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