Research Article
Price-based Energy Control for V2G Networks in the Industrial Smart Grid
@ARTICLE{10.4108/icst.iniscom.2015.258353, author={Rong Yu and Jiefei Ding and Weifeng Zhong and Yan Zhang and Stein Gjessing and Alexey Vinel and Magnus Jonsson}, title={Price-based Energy Control for V2G Networks in the Industrial Smart Grid}, journal={EAI Endorsed Transactions on Energy Web}, volume={2}, number={5}, publisher={EAI}, journal_a={EW}, year={2015}, month={4}, keywords={vehicle-to-grid networks, industrial smart grid, demand response management, energy control, renewable energy, complex networks, synchronization, plug-in hybrid electric vehicles, dynamic pricing}, doi={10.4108/icst.iniscom.2015.258353} }- Rong Yu
Jiefei Ding
Weifeng Zhong
Yan Zhang
Stein Gjessing
Alexey Vinel
Magnus Jonsson
Year: 2015
Price-based Energy Control for V2G Networks in the Industrial Smart Grid
EW
EAI
DOI: 10.4108/icst.iniscom.2015.258353
Abstract
The energy crisis and global warming call for a new industrial revolution in production and distribution of renewable energy. Distributed power generation will be well developed in the new smart electricity distribution grid, in which robust power distribution will be the key technology. In this paper, we present a new vehicle-to-grid (V2G) network for energy transfer, in which distributed renewable energy helps the power grid balance demand and supply. Plug-in hybrid electric vehicles (PHEVs) will act as transporters of electricity for distributed renewable energy dispatching. We formulate and analyze the V2G network within the theoretical framework of complex network. We also employ the generalized synchronization method to study the dynamic behavior of V2G networks. Furthermore, we develop a new price-based energy control method to stimulate the PHEV's behavior of charging and discharging. Simulation results indicate that the V2G network can achieve synchronization and each region is able to balance energy supply and demand through price-based control.
Copyright © 2015 R. Yu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.