Wind Power Cooperative Scheduling Strategy Considering the Life Cycle Carbon Emissions of EV
- 10.2991/eame-18.2018.32How to use a DOI?
- electric vehicles; carbon trading; wind power; low-carbon economic dispatch
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.
- © 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/).
Cite this article
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 -