In preparation for the electric mobility technological transition in Colombia, an impact assessment of the electric power system is required, considering the increasing loading that must be able to be managed in the future. In this paper, a plug-in electric vehicle (PEV) charging simulation methodology is developed in order to dimension the impact of this type of load on power grids. PEV electric properties, user charging behaviors, geographic location, trip distances, and other variables of interest are modeled from empirical or known probability distributions and later evaluated in different scenarios using Monte Carlo simulation and load flow analysis. This methodology is later applied to the transmission network of Antioquia (a department of Colombia) resulting in load increases of up to 40% on transmission lines and 20% on transformers in a high PEV penetration scenario in 2030, increases that are well within the expected grid capacity for that year, avoiding the need for additional upgrades.
Bibliographical noteFunding Information:
Funding: This research was funded by the program: “Estrategia de transformación del sector energético colombiano en el horizonte de 2030” funded by the research call 778 of MinCiencias Ecosistema Científico. Contract FP44842-210-2018.
Acknowledgments: The authors would like to thank the support of the project: “Estrategia de transformación del sector energético colombiano en el horizonte de 2030” funded by the research call 778 of MinCiencias Ecosistema Cientifico, Contract FP44842-210-2018, and the research group of Transmission and Distribution of Electric Power (T&D) at Pontificia Bolivariana University. Thanks are also given to professor Ernesto Pérez from National University and Solenium for providing key information to build the study case.
This research was funded by the program: ?Estrategia de transformaci?n del sector energ?tico colombiano en el horizonte de 2030? funded by the research call 778 of MinCiencias Ecosistema Cient?fico. Contract FP44842-210-2018.
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- Colombian power system
- Distribution system
- Electric mobility
- Electric vehicles
- EV load model
- Load flow
- Monte Carlo simulation
- Power distribution