Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads

Zhile Zang; Kang Li; Cheng Zhang; Aoife Foley

doi:10.1109/CIASG.2014.7011552

Non-convex dynamic economic/environmental dispatch with plug-in electric vehicle loads

Zhile Zang, Kang Li, Cheng Zhang, Aoife Foley

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Number of pages	7
DOIs	https://doi.org/10.1109/CIASG.2014.7011552
Publication status	Published - 2014
Event	Computational Intelligence Applications in Smart Grid (CIASG), 2014 IEEE Symposium on - Florida, Orlanda, United States Duration: 09 Dec 2014 → 12 Apr 2015

Conference

Conference	Computational Intelligence Applications in Smart Grid (CIASG), 2014 IEEE Symposium on
Country	United States
City	Orlanda
Period	09/12/2014 → 12/04/2015

Keywords

RBF; TLBO ; battery model; neural network; heuristic method

Access to Document

10.1109/CIASG.2014.7011552

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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.",

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AU - Zang, Zhile

AU - Li, Kang

AU - Zhang, Cheng

AU - Foley, Aoife

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N2 - 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.

AB - 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.

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Y2 - 9 December 2014 through 12 April 2015

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