DocumentCode
142660
Title
Impacts of EVs on power system operation: Guangdong case, China
Author
Ying Li ; Lukszo, Z.
Author_Institution
Fac. of Technol., Policy & Manage., Tech. Univ. Delft, Delft, Netherlands
fYear
2014
fDate
7-9 April 2014
Firstpage
596
Lastpage
601
Abstract
In addition to reduce oil consumption and pollution emissions, electric vehicles (EVs) show great potential for the power system as flexible load. For this reason, it provokes our interest to investigate the extent to which EVs could contribute to the power system management from the power system operator´s perspective. To achieve this goal, a unit commitment (UC) model for the power system operation that considers EVs charging is used. A case study in Guangdong province is carried out to quantify the impact of EVs in terms of generation mix by fuel type, demand profiles with EVs, variable generation cost of the system, and power purchase cost for grid companies. Result shows that in an economic dispatch context, controlled charging could reduce the variable generation cost, and the purchase cost for grid companies. At the meantime, the high coal consumption due to controlled charging can be observed, which conflicts with the low-carbon electricity transition policy in China. In addition, the controlled charging reduces the peak load by 5.77% compared with uncontrolled charging, when there is 2 Million EVs. While the impact of control charging on reducing peak load is uncertain yet, the grid companies probably face peak load challenges in both controlled and uncontrolled charging when there is high penetration level of EVs.
Keywords
battery storage plants; electric vehicles; power generation dispatch; power generation economics; power grids; power system management; China; EV; Guangdong; coal consumption; controlled charging; electric vehicles; flexible load; generation mix; grid companies; low-carbon electricity transition policy; oil consumption; peak load challenges; pollution emissions; power system management; power system operation; unit commitment model; variable generation cost; Coal; Springs; Wind; Electric Vehicles (EVs); unit commitment;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
Conference_Location
Miami, FL
Type
conf
DOI
10.1109/ICNSC.2014.6819693
Filename
6819693
Link To Document