Optimal Scheduling of Electric Vehicles for Ancillary Service Provision with Real Driving Data

被引：0

作者：

Tsagkaroulis, Panagiotis ^{[1
]}

Thingvad, Andreas ^{[2
]}

Marinelli, Mattia ^{[2
]}

Suzuki, Kenta ^{[3
]}

机构：

[1] Energinet, Nord RSC, Copenhagen, Denmark

[2] Tech Univ Denmark, Dept Elect Engn, Roskilde, Denmark

[3] Nissan Motor Co Ltd, Nissan Res Ctr, Yokosuka, Kanagawa, Japan

来源：

2021 56TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC 2021): POWERING NET ZERO EMISSIONS | 2021年

关键词：

Ancillary service provision; Frequency Control; Electric Vehicles; Vehicle to Grid;

D O I：

10.1109/UPEC50034.2021.9548153

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：

Electric Vehicles (EV)s can with the right charger and aggregated in large numbers be considered as a large storage unit. If the chargers have bidirectional power converters, EVs connected to the grid, could provide Vehicle-to-Grid (V2G) ancillary services. The annual earnings from delivering frequency-controlled normal operation reserve in Denmark is calculated, based on individual user profiles. The individual earnings are strongly dependant on the driving time, distance and parking time at different locations which determine the availability of each EV to provide ancillary services. The specific user behaviour is based on a set of telematics data acquired from 7,163 Nissan LEAFs in the United States, with information about every driving and charging sessions during one year. The profit of the individual EV, spreads from 51 to 1654 AC/year. A data set of one year of system frequency measurements from the Nordic grid is used to calculate the impact of the service provision on the State of charge (SOC).

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页数：6

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