The Influence of Vehicle To Grid Mode on The Economic Benefits of Power Grid

DOI

10.2991/gcmce-17.2017.11How to use a DOI?

Keywords

Electric vehicle; Vehicle to grid; Peak load regulation of power grid; Economic benefit

Abstract

With the increasing severity of environmental pollution and fossil resource depletion, electric vehicles draw widespread concern because of their use of clean energy and zero emission. The large-scale popularization of electric vehicles will become an inevitable trend of future development; the two-way interactive technology between vehicle and power grid (Vehicle to Grid, also known as V2G) also receives growing attention. Through V2G technology, power grid's operation inadequacy and inefficiency, limitation on acceptance capacity of renewable energy, inflexible electric vehicle charge and discharge and diseconomy can be relieved to some degree. In this paper, the feasibility of the interaction between the electric vehicle and the power grid was first analyzed, and the composition, function and realization way of the interaction between vehicle and Internet is introduced. Secondly, the Monte Carlo method is used to design a model on electric vehicle's charge and discharge behavior to get the change of daily load curve of the grid after different charge and discharge modes are connected to the grid. Finally, the benefits obtained from the grid in V2G mode are analyzed, and simulation calculation is carried out on electric vehicle's improving effect on load regulation capacity and grid revenue under peak load regulation model.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qian Wei
AU  - Yuan An
AU  - Fang Xi
AU  - Jiang Yao
AU  - Yuyao Wang
PY  - 2017/06
DA  - 2017/06
TI  - The Influence of Vehicle To Grid Mode on The Economic Benefits of Power Grid
BT  - Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)
PB  - Atlantis Press
SP  - 54
EP  - 62
SN  - 2352-5401
UR  - https://doi.org/10.2991/gcmce-17.2017.11
DO  - 10.2991/gcmce-17.2017.11
ID  - Wei2017/06
ER  -