https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Guerrero_Alonso_et_al_2019aGuerrero Alonso et al 2019a - Revision history2026-06-27T09:26:57ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Guerrero_Alonso_et_al_2019a&diff=181909&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 355611875 to Guerrero Alonso et al 2019a2021-01-21T12:37:00Z<p>Scipediacontent moved page <a href="/public/Draft_Content_355611875" class="mw-redirect" title="Draft Content 355611875">Draft Content 355611875</a> to <a href="/public/Guerrero_Alonso_et_al_2019a" title="Guerrero Alonso et al 2019a">Guerrero Alonso et al 2019a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Guerrero_Alonso_et_al_2019a&diff=181908&oldid=prevScipediacontent: Created page with " == Abstract == Electric vehicle fleets and smart grids are two growing technologies. These technologies provided new possibilities to reduce pollution and increase energy ef..."2021-01-21T12:36:57Z<p>Created page with " == Abstract == Electric vehicle fleets and smart grids are two growing technologies. These technologies provided new possibilities to reduce pollution and increase energy ef..."</p>
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== Abstract ==<br />
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Electric vehicle fleets and smart grids are two growing technologies. These technologies provided new possibilities to reduce pollution and increase energy efficiency. In this sense, electric vehicles are used as mobile loads in the power grid. A distributed charging prioritization methodology is proposed in this paper. The solution is based on the concept of virtual power plants and the usage of evolutionary computation algorithms. Additionally, the comparison of several evolutionary algorithms, genetic algorithm, genetic algorithm with evolution control, particle swarm optimization, and hybrid solution are shown in order to evaluate the proposed architecture. The proposed solution is presented to prevent the overload of the power grid.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://idus.us.es/handle//11441/95739 https://idus.us.es/handle//11441/95739] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/</div>Scipediacontent