Ubicación óptima para recarga de vehículos eléctricos en una red de media tensión

Marlon Julián Silva-Rodríguez; Fernan Alonso Vega-Torres; Javier Enrique Solano-Martínez

doi:10.15649/2346030X.2713

Authors

Marlon Julián Silva-Rodríguez Universidad Industrial de Santander - Bucaramanga, Colombia https://orcid.org/0000-0002-3718-5550
Fernan Alonso Vega-Torres Universidad Industrial de Santander - Bucaramanga, Colombia https://orcid.org/0000-0003-4019-1430
Javier Enrique Solano-Martínez Universidad Industrial de Santander - Bucaramanga, Colombia https://orcid.org/0000-0002-6782-5547

DOI:

https://doi.org/10.15649/2346030X.2713

Keywords:

electric vehicle, co-simulation, genetic algorithm, optimization

Abstract

In this paper, a methodology for optimal placement of charging stations using cosimulation is presented. The electrical system is modeled in DigSILENT PowerFactory. The optimization algorithm is implemented in Matlab. The challenge of this problem is to define a gateway to communicate Matlab with DigSILENT PowerFactory. Matlab is used to develop the Optimal Location of Recharging Stations (UOER) algorithm, since it has excellent tools that allow data analysis and algorithm development. The network is implemented in DigSILENT PowerFactory for its excellent analysis in power system simulations. The proposed algorithm is a hybrid algorithm consisting of two criteria where the first is the exhaustive search method, which evaluates all possible solutions and chooses the best solution among all, on the other hand, the second criterion is based on elitism, which is to select the best solutions, and move them to the next generation without any alteration. The algorithm developed is a heuristic algorithm which does not guarantee that the optimal solution will be found; however, it is shown that for study cases the system allows finding the optimal solution. With this work, it will be possible in the future to provide services to any network operator or entity that has a distribution system, and to find the optimal location of recharging stations.

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