Algorithm development for night charging electric vehicles optimization in big data applications

Abstract

  In this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.

Original document

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

• http://hdl.handle.net/11556/506

• https://doi.org/10.1016/j.procs.2017.05.329 under the license cc-by-nc-nd

• https://api.elsevier.com/content/article/PII:S1877050917309936?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S1877050917309936?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.procs.2017.05.329 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S1877050917309936,

https://dblp.uni-trier.de/db/conf/ant/ant2017.html#Alvaro-HermanaF17,

http://dsp.tecnalia.com/handle/11556/506,

https://doi.org/10.1016/j.procs.2017.05.329,

https://core.ac.uk/display/154343187,

https://academic.microsoft.com/#/detail/2627062619