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

Shang，Yitong1; Yu，Hang1; Niu，Songyan1; Shao，Ziyun2; Jian，Linni1

2021-12-01

10.1016/j.apenergy.2021.117595

APPLIED ENERGY   影响因子和分区

0306-2619

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.

Cyber-physical co-modeling Internet of smart charging points Network simulation Optimal energy dispatching Parallel computing Small-world network

SCI ; EI

英语

第一 ; 通讯

WOS:000703515300011

20213410809541

Cyber Physical System ; Electric load dispatching ; MATLAB ; Plug-in electric vehicles ; Vehicle-to-grid ; Voltage regulators

Secondary Batteries:702.1.2 ; Electric Power Systems:706.1 ; Electric Power Transmission:706.1.1 ; Digital Computers and Systems:722.4 ; Computer Applications:723.5 ; Control Equipment:732.1 ; Mathematics:921

ENGINEERING

2-s2.0-85113699239

Scopus

1.University Key Laboratory of Advanced Wireless Communications of Guangdong Province,Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.School of Electronics and Communication Engineering,Guangzhou University,Guangzhou,510006,China

Shang，Yitong,Yu，Hang,Niu，Songyan,et al. Cyber-physical co-modeling and optimal energy dispatching within internet of smart charging points for vehicle-to-grid operation[J]. APPLIED ENERGY,2021,303.

Shang，Yitong,Yu，Hang,Niu，Songyan,Shao，Ziyun,&Jian，Linni.(2021).Cyber-physical co-modeling and optimal energy dispatching within internet of smart charging points for vehicle-to-grid operation.APPLIED ENERGY,303.

Shang，Yitong,et al."Cyber-physical co-modeling and optimal energy dispatching within internet of smart charging points for vehicle-to-grid operation".APPLIED ENERGY 303(2021).