Electricity price linkage model considering V2G

被引：0

作者：

Shi, Quansheng ^{[1
]}

Ping, Zongfei ^{[1
]}

Chen, Minjun ^{[1
]}

机构：

[1] School of Economics and Management, Shanghai University of Electric Power, Shanghai,200090, China

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2014年 / 34卷 / 11期

关键词：

Charging (batteries) - Monte Carlo methods - Electric vehicles - Intelligent systems - Costs - Electric power transmission networks - Curve fitting - Electric power system control;

D O I：

10.3969/j.issn.1006-6047.2014.11.006

中图分类号：

学科分类号：

摘要：

Different control and usage strategies of EV (Electric Vehicle) charging/discharging result in different influences on grid load curve, which then affects the enactment and implementation of TOU (Time-Of-Use power price) policy. A electricity price linkage model considering of V2G (Vehicle to Grid) is proposed. The Monte Carlo simulation method is applied to simulate the charging/discharging curve of a certain amount of EVs. The user load curve is then optimized by adjusting the retail-side TOU according to users' response. The updated grid load curve is the superposition of user load curve and EV charging/discharging curve, based on which, the generation-side TOU is adjusted to balance the benefits brought in by V2G between retail side and generation side. Based on the practical data, the proposed model is simulated for three V2G modes and two charging/discharging price modes, verifying its effectiveness. time-of-use power ©, 2014, Electric Power Automation Equipment Press. All right reserved.

引用

页码：34 / 40

共 50 条

[41] Optimization of Distribution Network Considering Distributed Renewable Energy and V2G of Electric Vehicles
Xiao, Yiran
He, Chuan
Lv, Xiangmei
Li, Yicheng
Zhang, Min
Wang, Tengxin
2022 6TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY ENGINEERING, ICPEE, 2022, : 132 - 137
[42] A novel Pricing Policy for G2V and V2G Services
Abd Eldjalil, Chekired Djabir
Said, Dhaou
Khoukhi, Lyes
Mouftah, Hussein T.
2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2017, : 634 - 635
[43] Investigation of V2G Economical Viability
Almehizia, Abdullah. A.
Snodgrass, J. M.
2018 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), 2018,
[44] Synergistic optimization scheduling of a wind-thermal power system considering V2G technology based on probability model
Qu, Zhengwei
Hou, Shuo
Wang, Yunjing
Wang, Yakun
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 14 (07) : 1008 - 1015
[45] The Impact of V2G on Power Factors
Chukwu, Uwakwe C.
2020 CLEMSON UNIVERSITY POWER SYSTEMS CONFERENCE (PSC), 2020,
[46] V2G应用进展综述
谭泽富
周正洋
高树坤
蔡黎
代妮娜
重庆理工大学学报(自然科学), 2023, 37 (03) : 222 - 229
[47] Security of V2G Networks: A review
Luan, Wenpeng (luanwenpeng@epri.sgcc.com.cn), 1600, Universidad Central de Venezuela (55):
[48] TEST SOLUTION TARGETS V2G
Iguchi, Takemi
EE: Evaluation Engineering, 2019, 58 (12): : 25 - 27
[49] A heuristic-based electricity trade coordination for microgrid-level V2G services
Lee, Junghoon
Park, Gyung-Leen
INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2015, 69 (1-4) : 208 - 223
[50] Punctual V2G scheduling circle: Evaluate and enhance transfer V2G capability through adaptive redistribution
Liu, Ke
Liu, Yanli
Si, Gang
Lu, Xin
Xie, Yan
APPLIED ENERGY, 2025, 383

← 1 2 3 4 5 →