Effects of number of electric vehicles charging/discharging on total electricity costs in commercial buildings with time-of-use energy and demand charges

被引:8
|
作者
Ghosh, Avik [1 ]
Zapata, Monica Zamora [1 ]
Silwal, Sushil [1 ]
Khurram, Adil [1 ]
Kleissl, Jan [1 ]
机构
[1] Univ Calif, Dept Mech & Aerosp Engn, San Diego, CA 92093 USA
关键词
STRATEGIES;
D O I
10.1063/5.0086924
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Electric vehicle (EV) penetration has been increasing in the modern electricity grid and has been complemented by the growth of EV charging infrastructure. This paper addresses the gap in the literature on the EV effects of total electricity costs on commercial buildings by incorporating V0G, V1G, and V2B charging. The electricity costs are minimized in 14 commercial buildings with real load profiles, demand, and energy charges. The scientific contributions of this study are the incorporation of demand charges, quantification of EV, and smart charging electricity costs and benefits using several representative long-term datasets, and the derivation of approximate equations that simplify the estimation of EV economic impacts. Our analysis is primarily based on an idealized uniform EV commuter fleet case study. The V1G and V2B charging electricity costs as a function of the number of EVs initially diverge with increasing charging demand and then become parallel to one another with the V2B electricity costs being lower than V1G costs. A longer EV layover time leads to higher numbers of V2B charging stations that can be installed such that original (pre-EV) electricity costs are not exceeded as compared to a shorter layover time. Sensitivity analyses based on changing the final state of charge (SOC) of EVs between 90% and 80% and initial SOC between 50% and 40% (thereby keeping charging energy demand constant) show that the total electricity costs are the same for V0G and V1G charging, while for V2B charging, the total electricity costs decrease as final SOC decreases. Published under an exclusive license by AIP Publishing.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] An orderly charging and discharging method for electric vehicles based on a cooperative game and dynamic time-of-use price
    Cheng S.
    Chen Z.
    Xu K.
    Kang Z.
    Wei Z.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (21): : 15 - 21
  • [2] A time-of-use price based multi-objective optimal dispatching for charging and discharging of electric vehicles
    Wei, Dajun
    Zhang, Chenghui
    Sun, Bo
    Cui, Naxin
    Dianwang Jishu/Power System Technology, 2014, 38 (11): : 2972 - 2977
  • [4] Optimal Charging and Routing of Electric Vehicles With Power Constraints and Time-of-Use Energy Prices
    Ferro, Giulio
    Paolucci, Massimo
    Robba, Michela
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (12) : 14436 - 14447
  • [5] Flexible Charging Coordination for Plug-in Electric Vehicles based on Uniform Stochastic Charging Demand and Time-of-Use Tariff
    Park, Kanggu
    Yoon, Seungwook
    Hwang, Euiseok
    2019 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2019,
  • [6] Orderly Discharging Strategy for Electric Vehicles at Workplace Based on Time-of-Use Price
    Chen, Lixing
    Zhang, Hong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [7] An optimal regional time-of-use charging price model for electric vehicles
    Chen, Jiejun
    Yang, Jun
    Zhu, Jie
    Li, Xianglong
    Zeng, Shuang
    Li, Yixin
    Wang, Xinpu
    Tang, Yufei
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [8] Coordinated charging strategy for electric vehicles based on time-of-use price
    Su, S. (ssu@bjtu.edu.cn), 1600, Automation of Electric Power Systems Press (37):
  • [9] An adaptive NSGA-II for electric vehicle routing problem with charging/ discharging based on time-of-use electricity pricing and diverse charging stations
    Li, Junyu
    Liu, Changshi
    Yi, Kunxiang
    Fan, Lijun
    Wu, Zhang
    APPLIED SOFT COMPUTING, 2025, 170
  • [10] The Time-of-use Price of Electric Vehicle Charging and Discharging based on Monte Carlo algorithm
    Yang Man
    Zhang Yuzhen
    Yang Zhe
    2018 INTERNATIONAL CONFERENCE ON BIG DATA AND ARTIFICIAL INTELLIGENCE (ICBDAI 2018), 2019, : 70 - 77