Modeling charging demand of electric vehicles in multi-locations using agent-based method

被引：9
|
作者：
Lin, Haiyang [1 ]
Fu, Kun [1 ]
Liu, Yiling [1 ]
Sun, Qie [1 ]
Wennersten, Ronald [1 ]
机构：
[1] Shandong Univ, Inst Thermal Sci & Technol, Jingshi Rd 17923, Jinan 250061, Shandong, Peoples R China
来源：
CLEANER ENERGY FOR CLEANER CITIES | 2018年 / 152卷
关键词：
Electric vehicle; Agent-based model; Trip chain; Multi-location charging; PATTERNS;
D O I：
10.1016/j.egypro.2018.09.217
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper aims to explore the charging demand of electric vehicles (EVs) in multi-locations. To this aim, a model, which involves 4 charging locations: residential, work, business and recreation area, and 7 trip purposes: end trip, home linger, work, shopping, meal, pick / drop and public recreation, were developed to study the charging of EVs using agent-based trip chain method. The driving patterns of EVs are modelled based on 2017 NHTS data and then validated. The charging profile of 4 locations under uncontrolled charging are obtained, the difference caused by locations and supply equipment (normal charging and rapid charging) are analyzed. The rapid charging profile of 2 public locations and the relationship between normal and rapid charging are investigated. Finally, suggestions on charging stations planning in different area are provided after the analysis. Copyright (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码：599 / 605
页数：7
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