Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty
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 genera...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/20/7646 |
| _version_ | 1797473595448885248 |
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| author | Carlos D. Zuluaga-Ríos Alejandro Villa-Jaramillo Sergio D. Saldarriaga-Zuluaga |
| author_facet | Carlos D. Zuluaga-Ríos Alejandro Villa-Jaramillo Sergio D. Saldarriaga-Zuluaga |
| author_sort | Carlos D. Zuluaga-Ríos |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T20:17:44Z |
| format | Article |
| id | doaj.art-afb739f552f048a18208177693ef210d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T20:17:44Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-afb739f552f048a18208177693ef210d2023-11-23T23:58:18ZengMDPI AGEnergies1996-10732022-10-011520764610.3390/en15207646Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV UncertaintyCarlos D. Zuluaga-Ríos0Alejandro Villa-Jaramillo1Sergio D. Saldarriaga-Zuluaga2Department of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, ColombiaDepartment of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, ColombiaDepartment of Electrical Engineering, Engineering Faculty, Institución Universitaria Pascual Bravo, Medellín 050036, ColombiaCurrent 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.https://www.mdpi.com/1996-1073/15/20/7646DC power gridsdistributed generationelectric vehicle modelinghosting capacityMonte Carlo simulation |
| spellingShingle | Carlos D. Zuluaga-Ríos Alejandro Villa-Jaramillo Sergio D. Saldarriaga-Zuluaga Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty Energies DC power grids distributed generation electric vehicle modeling hosting capacity Monte Carlo simulation |
| title | Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty |
| title_full | Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty |
| title_fullStr | Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty |
| title_full_unstemmed | Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty |
| title_short | Evaluation of Distributed Generation and Electric Vehicles Hosting Capacity in Islanded DC Grids Considering EV Uncertainty |
| title_sort | evaluation of distributed generation and electric vehicles hosting capacity in islanded dc grids considering ev uncertainty |
| topic | DC power grids distributed generation electric vehicle modeling hosting capacity Monte Carlo simulation |
| url | https://www.mdpi.com/1996-1073/15/20/7646 |
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