DocumentCode :
1800068
Title :
Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads
Author :
Zhile Yang ; Kang Li ; Qun Niu ; Cheng Zhang ; Foley, Aoife
Author_Institution :
Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´s Univ. Belfast, Belfast, UK
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
7
Abstract :
Electric vehicles are a key prospect for future transportation. A large penetration of electric vehicles has the potential to reduce the global fossil fuel consumption and hence the greenhouse gas emissions and air pollution. However, the additional stochastic loads imposed by plug-in electric vehicles will possibly introduce significant changes to existing load profiles. In his paper, electric vehicles loads are integrated into an 5-unit system using a non-convex dynamic dispatch model. The actual infrastructure characteristics including valve-point effects, load balance constrains and transmission loss have been included in the model. Multiple load profiles are comparatively studied and compared in terms of economic and environmental impacts in order o identify patterns to charge properly. The study as expected shows ha off-peak charging is the best scenario with respect to using less fuels and producing less emissions.
Keywords :
hybrid electric vehicles; load dispatching; power transmission economics; load balance constrains; multiple load profiles; nonconvex dynamic economic dispatch; nonconvex dynamic environmental dispatch; off-peak charging; plug-in electric vehicle loads; transmission loss; valve-point effects; Batteries; Dynamic scheduling; Economics; Education; Optimization; Power system dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence Applications in Smart Grid (CIASG), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/CIASG.2014.7011552
Filename :
7011552
Link To Document :
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