Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors
Electric power systems with a high penetration of photovoltaic generation and a relevant fleet of electric vehicles face significant stability challenges, particularly in mountainous areas where the variability of photovoltaic resources is pronounced. This study presents a novel methodology to strat...
| Published in: | Sensors |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
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MDPI AG
2024-06-01
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| Online Access: | https://www.mdpi.com/1424-8220/24/12/3768 |
| _version_ | 1850361508609916928 |
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| author | Miguel Davila-Sacoto Luis Hernández-Callejo L. G. González Óscar Duque-Perez Ángel L. Zorita-Lamadrid Danny Ochoa-Correa |
| author_facet | Miguel Davila-Sacoto Luis Hernández-Callejo L. G. González Óscar Duque-Perez Ángel L. Zorita-Lamadrid Danny Ochoa-Correa |
| author_sort | Miguel Davila-Sacoto |
| collection | DOAJ |
| container_title | Sensors |
| description | Electric power systems with a high penetration of photovoltaic generation and a relevant fleet of electric vehicles face significant stability challenges, particularly in mountainous areas where the variability of photovoltaic resources is pronounced. This study presents a novel methodology to strategically place electric vehicle aggregators along a feeder. This approach considers electrical variables and the dynamics of cloud movements within the study area. This innovative methodology reduces the substation’s power load demand and significantly improves the end user’s voltage levels. The improvements in voltage regulation and reduced demand on the substation provide clear benefits, including increased system resilience, better integration of renewable energy sources, and enhanced overall efficiency of the electric grid. These advantages are particularly critical in regions with high levels of photovoltaic generation and are important in promoting sustainable electric vehicle charging infrastructure. When analyzing different load scenarios for the IEEE European Low Voltage Test Feeder system, the consideration of distributed aggregators based on cloud movements decreased the power required at the substation by 21.25%, and the voltage drop in loads was reduced from 6.9% to 4.29%. This research underscores the critical need to consider both the variability and geographical distribution of PV resources in the planning and operation of electrical systems with extensive PV generation. |
| format | Article |
| id | doaj-art-2a5504e2d2a4466ea7ea48bb70c6a41d |
| institution | Directory of Open Access Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-2a5504e2d2a4466ea7ea48bb70c6a41d2025-08-19T23:04:57ZengMDPI AGSensors1424-82202024-06-012412376810.3390/s24123768Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation SensorsMiguel Davila-Sacoto0Luis Hernández-Callejo1L. G. González2Óscar Duque-Perez3Ángel L. Zorita-Lamadrid4Danny Ochoa-Correa5Department of Agricultural and Forestry Engineering, Duques de Soria University Campus, University of Valladolid, 42004 Soria, SpainDepartment of Agricultural and Forestry Engineering, Duques de Soria University Campus, University of Valladolid, 42004 Soria, SpainDepartment of Electrical, Electronics and Telecommunications Engineering, Campus Balzay, University of Cuenca, Cuenca 010107, EcuadorDepartment of Electrical Engineering, School of Industrial Engineering, University of Valladolid, 47011 Valladolid, SpainDepartment of Electrical Engineering, School of Industrial Engineering, University of Valladolid, 47011 Valladolid, SpainDepartment of Electrical, Electronics and Telecommunications Engineering, Campus Balzay, University of Cuenca, Cuenca 010107, EcuadorElectric power systems with a high penetration of photovoltaic generation and a relevant fleet of electric vehicles face significant stability challenges, particularly in mountainous areas where the variability of photovoltaic resources is pronounced. This study presents a novel methodology to strategically place electric vehicle aggregators along a feeder. This approach considers electrical variables and the dynamics of cloud movements within the study area. This innovative methodology reduces the substation’s power load demand and significantly improves the end user’s voltage levels. The improvements in voltage regulation and reduced demand on the substation provide clear benefits, including increased system resilience, better integration of renewable energy sources, and enhanced overall efficiency of the electric grid. These advantages are particularly critical in regions with high levels of photovoltaic generation and are important in promoting sustainable electric vehicle charging infrastructure. When analyzing different load scenarios for the IEEE European Low Voltage Test Feeder system, the consideration of distributed aggregators based on cloud movements decreased the power required at the substation by 21.25%, and the voltage drop in loads was reduced from 6.9% to 4.29%. This research underscores the critical need to consider both the variability and geographical distribution of PV resources in the planning and operation of electrical systems with extensive PV generation.https://www.mdpi.com/1424-8220/24/12/3768electric vehicle aggregatorelectric vehiclephotovoltaic generationmicrogridEV charging stationVehicle-to-Grid |
| spellingShingle | Miguel Davila-Sacoto Luis Hernández-Callejo L. G. González Óscar Duque-Perez Ángel L. Zorita-Lamadrid Danny Ochoa-Correa Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors electric vehicle aggregator electric vehicle photovoltaic generation microgrid EV charging station Vehicle-to-Grid |
| title | Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors |
| title_full | Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors |
| title_fullStr | Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors |
| title_full_unstemmed | Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors |
| title_short | Heterogeneous Communication Network Architecture for the Management of Electric Vehicle Charging Stations: Multi-Aggregator Management in Microgrids with High Photovoltaic Variability Based on Multiple Solar Radiation Sensors |
| title_sort | heterogeneous communication network architecture for the management of electric vehicle charging stations multi aggregator management in microgrids with high photovoltaic variability based on multiple solar radiation sensors |
| topic | electric vehicle aggregator electric vehicle photovoltaic generation microgrid EV charging station Vehicle-to-Grid |
| url | https://www.mdpi.com/1424-8220/24/12/3768 |
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