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Cyber-physical co-modeling and optimal energy dispatching within internet of smart charging points for vehicle-to-grid operation.

Authors :
Shang, Yitong
Yu, Hang
Niu, Songyan
Shao, Ziyun
Jian, Linni
Source :
Applied Energy. Dec2021, Vol. 303, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• A cyber-physical co-modeling is developed to fulfill the essential insights of ISCP. • A hierarchical distributed V2G coordination apt to parallel computing is proposed. • The cyber topology for ISCP is fully discussed in terms of communication efficiency. Vehicle-to-grid (V2G) technology plays an important part in achieving carbon neutrality. Hence, reducing the execution time under the real-time application becomes an urgent issue. In this paper, we develop a cyber-physical co-modeling to fulfill the fundamental insights into the internet of smart charging points (ISCP), wherein the local controllers are designed near the plug-in electric vehicles (PEVs), and are coordinated with each other. In perspective of energy dispatching, a hierarchical V2G scheduling is implemented in a distributed way to decompose the optimization problem into several sub-problems. Besides, the parallel computing is applied in the V2G problem to accelerate the speed of obtaining results. Moreover, the voltage regulation is applied near the energy coordinator with high-performance computer rather than by the local controller. In perspective of network communication, the small-world network is applied to ensure the communication efficiency and decrease the wiring costs. Besides, the privacy-preserving of both the energy coordinator and the PEV users is guaranteed by processing and storing the sensitive information of the two participants nearby. Finally, the cyber-physical co-modeling is performed in Matlab and Network Simulator 2. Results show load flatting, self-consumption of photovoltaic output, voltage regulation, and up/down regulation are achieved. Moreover, the delay of small-world network is 90.94 times faster than that of lattice network, and the cost of small-world network is nearly 500 times less than that of full mesh network. Particularly, the execution time for V2G operation at one-time interval is less than 1 s. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03062619
Volume :
303
Database :
Academic Search Index
Journal :
Applied Energy
Publication Type :
Academic Journal
Accession number :
152649236
Full Text :
https://doi.org/10.1016/j.apenergy.2021.117595