Scipediacontent: Scipediacontent moved page Draft Content 552826207 to Padmanaban et al 2017a

2021-02-15T09:20:07Z

Scipediacontent moved page Draft Content 552826207 to Padmanaban et al 2017a

Scipediacontent: Created page with " == Abstract == The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicl..."

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Created page with " == Abstract == The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicl..."

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== Abstract ==

The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicles and the power grid has spurred the emergence of a smart grid technology, denoted as vehicle-to grid-technology. Vehicle-to-grid technology manages the energy exchange between a large fleet of electric vehicles and the power grid to accomplish shared advantages for the vehicle owners and the power utility. This paper presents an optimal scheduling of vehicle-to-grid using the genetic algorithm to minimize the power grid load variance. This is achieved by allowing electric vehicles charging (grid-to-vehicle) whenever the actual power grid loading is lower than the target loading, while conducting electric vehicle discharging (vehicle-to-grid) whenever the actual power grid loading is higher than the target loading. The vehicle-to-grid optimization algorithm is implemented and tested in MATLAB software (R2013a, MathWorks, Natick, MA, USA). The performance of the optimization algorithm depends heavily on the setting of the target load, power grid load and capability of the grid-connected electric vehicles. Hence, the performance of the proposed algorithm under various target load and electric vehicles’ state of charge selections were analysed. The effectiveness of the vehicle-to-grid scheduling to implement the appropriate peak load shaving and load levelling services for the grid load variance minimization is verified under various simulation investigations. This research proposal also recommends an appropriate setting for the power utility in terms of the selection of the target load based on the electric vehicle historical data. Minimization of Load Variance in Power Grid – Investigation on Vehicle-to-Grid Optimal Scheduling

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_552826207-beopen705-4921-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/11250/2501224 http://hdl.handle.net/11250/2501224] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/1996-1073/10/11/1880/pdf https://www.mdpi.com/1996-1073/10/11/1880/pdf]

* [http://www.mdpi.com/1996-1073/10/11/1880/pdf http://www.mdpi.com/1996-1073/10/11/1880/pdf],
: [http://dx.doi.org/10.3390/en10111880 http://dx.doi.org/10.3390/en10111880] under the license cc-by

* [https://vbn.aau.dk/da/publications/ff9b30e1-67f2-4961-bd20-89370de69040 https://vbn.aau.dk/da/publications/ff9b30e1-67f2-4961-bd20-89370de69040],
: [https://doi.org/10.3390/en10111880 https://doi.org/10.3390/en10111880],
: [https://vbn.aau.dk/ws/files/270248895/energies_10_01880_v2.pdf https://vbn.aau.dk/ws/files/270248895/energies_10_01880_v2.pdf] under the license https://creativecommons.org/licenses/by/4.0/

* [https://vbn.aau.dk/files/270248895/energies_10_01880_v2.pdf https://vbn.aau.dk/files/270248895/energies_10_01880_v2.pdf],
: [http://vbn.aau.dk/files/270248895/energies_10_01880_v2.pdf http://vbn.aau.dk/files/270248895/energies_10_01880_v2.pdf],
: [https://brage.bibsys.no/xmlui/handle/11250/2501224 https://brage.bibsys.no/xmlui/handle/11250/2501224],
: [https://ideas.repec.org/a/gam/jeners/v10y2017i11p1880-d119050.html https://ideas.repec.org/a/gam/jeners/v10y2017i11p1880-d119050.html],
: [https://hiof.brage.unit.no/hiof-xmlui/handle/11250/2501224 https://hiof.brage.unit.no/hiof-xmlui/handle/11250/2501224],
: [https://pure.uniten.edu.my/en/publications/minimization-of-load-variance-in-power-grids-investigation-on-opt https://pure.uniten.edu.my/en/publications/minimization-of-load-variance-in-power-grids-investigation-on-opt],
: [https://www.forskningsdatabasen.dk/en/catalog/2559699050 https://www.forskningsdatabasen.dk/en/catalog/2559699050],
: [https://core.ac.uk/display/127550770 https://core.ac.uk/display/127550770],
: [https://academic.microsoft.com/#/detail/2770637870 https://academic.microsoft.com/#/detail/2770637870]

* [https://www.mdpi.com/1996-1073/10/11/1880 https://www.mdpi.com/1996-1073/10/11/1880],
: [https://doaj.org/toc/1996-1073 https://doaj.org/toc/1996-1073]

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Scipediacontent: Scipediacontent moved page Draft Content 552826207 to Padmanaban et al 2017a

Scipediacontent: Created page with " == Abstract == The introduction of electric vehicles into the transportation sector helps reduce global warming and carbon emissions. The interaction between electric vehicl..."