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Distributed Energy Management for Vehicle-to-Grid Networks

Wang, Kun, Gu, Liqiu, He, Xiaoming, Guo, Song, Sun, Yanfei, Vinel, Alexey, Shen, Jian
2017

Article in journal (Refereegranskat)

Abstract:

Making full use of V2G services, EVs with batteries may assist the smart grid in alleviating peaks of energy consumption. Aiming to develop a systematic understanding of the interplay between smart grid and EVs, an architecture for the V2G networks with the EV aggregator is designed to maintain the balance between energy suppliers (the grid side) and consumers (the EV side). We propose a combined control and communication approach considering distributed features and vehicle preferences in order to ensure efficient energy transfer. In our model, the integrated communication and control unit can achieve realtime and intelligent management with the logic controller and collected data. On the consumers' side, we theoretically analyze how to satisfy the charging constraints that we incorporate in the form of willingness to pay, and propose a distributed framework to coordinate the energy delivery behaviors for satisfying service demands. Moreover, illustrative results indicate that the proposed approach can yield higher revenue than the conventional pricing mechanism in V2G networks.

Key words: Batteries; Energy management; Global Positioning System; Security; Vehicle-to-grid; Smart grids; Electric vehicles

Cite: Wang, Kun, Gu, Liqiu, He, Xiaoming, Guo, Song, Sun, Yanfei, Vinel, Alexey & Shen, Jian, Distributed Energy Management for Vehicle-to-Grid Networks, IEEE Network., 31:2, s. 22-28, 2017