Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty

Carlos D. Zuluaga-Ríos (), Alejandro Villa-Jaramillo and Sergio D. Saldarriaga-Zuluaga
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Carlos D. Zuluaga-Ríos: Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
Alejandro Villa-Jaramillo: Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia
Sergio D. Saldarriaga-Zuluaga: Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, Colombia

Energies, 2022, vol. 15, issue 20, 1-17

Abstract: Current power systems are undergoing an energy transition, where technological elements such as distributed generation and electric vehicles through AC or DC microgrids are important elements to face this transition. This paper presents a methodology for quantifying distributed resource-based generation and the number of electric vehicles that can be connected to isolated DC grids without impacting the safe operation of these networks. The methodology evaluates the maximum capacity of distributed generation considering the uncertainty present in the electric vehicle charging of fleets composed of five types of electric vehicles. Specifically, the uncertainty is associated with the following variables: the home arrival time, home departure time, traveled distance, and battery efficiency. The methodology was applied to a 21-bus DC microgrid and a 33-bus DC network under different test conditions. The results show that higher penetrations of EVs and distributed resource-based generation can be introduced while guaranteeing a secure operation of the DC networks.

Keywords: DC power grids; distributed generation; electric vehicle modeling; hosting capacity; Monte Carlo simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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