Title :
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
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;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672838
