Wind Power Cooperative Scheduling Strategy Considering the Life Cycle Carbon Emissions of EV

DOI

10.2991/eame-18.2018.32How to use a DOI?

Keywords

electric vehicles; carbon trading; wind power; low-carbon economic dispatch

Abstract

In order to improve the low-carbon and economic benefits of electric vehicles (EV), this paper proposes a cooperative dispatch model of electric vehicles and wind power. The objectives of the model include the lowest carbon emissions, the lowest cost of thermal power and the lowest equivalent load variance. In addition, EV carbon emission reduction benefits are taken into account including the carbon emissions of the whole life cycle and the carbon trading mechanism. Finally, multi-objective particle swarm optimization (MPSO) algorithm is applied to achieve the optimal charging strategy of EV and comparison analysis is carried out with fuel vehicles and the scenarios of disordered charging of electric vehicles. The results verifies the superiority of the model in economic and environmental efficiency in a practical case.

Copyright

© 2018, 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/).

Download article (PDF)

TY  - CONF
AU  - Fengkun Yang
AU  - Liangliang Chen
PY  - 2018/06
DA  - 2018/06
TI  - Wind Power Cooperative Scheduling Strategy Considering the Life Cycle Carbon Emissions of EV
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 153
EP  - 159
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.32
DO  - 10.2991/eame-18.2018.32
ID  - Yang2018/06
ER  -