Simulation of electric buses on a full transit network: Operational feasibility and grid impact analysis

被引:122
作者
Mohamed, Moataz [1 ]
Farag, Hany [2 ]
El-Taweel, Nader [2 ]
Ferguson, Mark [1 ]
机构
[1] McMaster Univ, McMaster Inst Transportat & Logist, 1280 Main St West, Hamilton, ON L8S 4K1, Canada
[2] York Univ, Elect Engn & Comp Sci Dept, 4700 Keele St, Toronto, ON M3J 1P3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Battery electric bus; Full transit network simulation; Grid impact analysis; Operational feasibility; Energy demands; ALTERNATIVE FUEL; VEHICLES IMPACT; HYBRID; INFRASTRUCTURE; OPTIMIZATION; BENEFITS; OPTIONS;
D O I
10.1016/j.epsr.2016.09.032
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a twofold modelling exercise to investigate the implementation of battery electric buses (BEBs) in a full transit network. First, using three BEB concepts: flash, opportunity, and overnight, a real-time simulation model is developed for a full transit BEBs operation in order to (1) quantify the energy demands, (2) design the required infrastructure of the charging station, (3) test the transit operation feasibility, and (4) generate the charging load profile. Simulation results show that flash and opportunity BEBs are more feasible for full transit BEBs operation, however they suffer from high and intermittent power demands. Second, the generated charging load profile for each BEB operation is utilized to study its impact on the utilization and lifetime of the transformers, and the operation of the local distribution grid. Results indicate that the operation of overnight electric buses is more feasible as it relates to their impacts on the substation transformer and distribution feeders overloading, voltage regulation and quality aspects, and operation of voltage control devices. Collectively, findings from this study highlight that the selection of BEBs in a full network transit operation hinges on achieving feasible operation while reducing impacts on utility grid. Insights derived from this work can help optimize the implementation of BEBs in transit context. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:163 / 175
页数:13
相关论文
共 47 条
[1]  
Aggeler D., 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), P1, DOI DOI 10.1109/ISGTEUROPE.2010.5638899
[2]   Two-layer optimization methodology for wind distributed generation planning considering plug-in electric vehicles uncertainty: A flexible active-reactive power approach [J].
Ahmadian, Ali ;
Sedghi, Mandi ;
Aliakbar-Golkar, Masoud ;
Fowler, Michael ;
Elkamel, Ali .
ENERGY CONVERSION AND MANAGEMENT, 2016, 124 :231-246
[3]  
[Anonymous], 2014, FED TRANS BUS TEST B
[4]  
[Anonymous], 2004, Electric Power Transformer Engineering
[5]  
[Anonymous], 2015, FED TRANS BUS TEST N
[6]  
[Anonymous], 1996, IEEE Std C57.91-1995
[7]  
[Anonymous], IEEE T INTELLIGENT T
[8]  
[Anonymous], 2015, FED TRANS BUS TEST P
[9]  
*ANSI, 1982, C841 ANSI
[10]  
Azzouz M.A., 2014, IEEE SYST J, P1