Research on unit commitment in power system with electric vehicles classification

Author

Jing, Z.X. ; Shao, W.Y. ; He, X.Y. ; Wu, Q.H. ; Huang, Shanjin ; Liu, Minggang ; Wu, W.H.

Author_Institution

Sch. of Electr. Power, South China Univ. of Technol. (SCUT), Guangzhou, China

fYear

2013

fDate

21-25 July 2013

Firstpage

1

Lastpage

5

Abstract

This paper presents unit commitment (UC) model based on detail classification of electric vehicles (EVs). The time and the state of charge (SOC) of EVs driving into/out of parking lots are modeled with the consideration of each level of EVs´ SOC, the maximum of charging EVs at each slot, and users demand of EVs. The model is optimized and solved by GAMS software. With this model, four scenarios based on 10-unit 24-hour UC are compared and analyzed. The results from GAMS show that the model, with the EVs classification, reflects the influence of EVs on the power system more effectively.

Keywords

battery powered vehicles; optimisation; power generation dispatch; GAMS software; SOC; UC model optimisation; electric vehicle classification; parking lot; power system; state of charge; unit commitment model; Automation; Fuels; Load modeling; Mathematical model; Optimization; Power systems; System-on-chip; Electric Vehicles; GAMS; Ordered Charging; State of Charge; Unit Commitment;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting (PES), 2013 IEEE

Conference_Location

Vancouver, BC

ISSN

1944-9925

Type

conf

DOI

10.1109/PESMG.2013.6672838

Filename

6672838