共 50 条
Optimal planning and scheduling for fast-charging electric bus system with distributed photovoltaics
被引:0
|作者:
Zhang, Yiming
[1
]
He, Yi
[2
]
Song, Ziqi
[1
]
机构:
[1] SUNY Buffalo, Dept Civil Struct & Environm Engn, 212 Ketter Hall, Buffalo, NY 14260 USA
[2] Natl Renewable Energy Lab, 15013 Denver West Pkwy, Golden, CO 80401 USA
基金:
美国国家科学基金会;
关键词:
Battery electric buses;
Planning and charging schedule;
Fast-charging;
Demand charges;
Energy storage system;
Distributed PV;
ENERGY MANAGEMENT;
OPTIMIZATION;
MODEL;
D O I:
10.1016/j.trd.2024.104584
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The global focus on emissions reduction has grown significantly, leading to the emergence of Battery electric buses (BEBs) as a promising eco-friendly alternative to conventional buses. However, the high charging power induced by fast charging can burden the power grid and incur high demand charges. Distributed solar photovoltaics (PV) can play an important role in reducing peak load and charging costs. In this study, we address the problem of optimal planning and charging schedule for an electric bus system using fast-charging technology. We proposed a mathematical model to optimize the BEB charging schedule and PV planning such that the total cost of the system is minimized. A real bus network in Utah was adopted to validate the efficacy of the proposed models. The results demonstrated that integrating an energy storage system (ESS) and distributed PV can significantly reduce costs and increase the proportion of renewable energy used for BEB charging.
引用
收藏
页数:28
相关论文