Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost
This paper presents an optimised bidirectional Vehicle-to-Grid (V2G) operation, based on a fleet of Electric Vehicles (EVs) connected to a distributed power system, through a network of charging stations. The system is able to perform day-ahead scheduling of EV charging/discharging to reduce EV owne...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8930487/ |
| _version_ | 1818410940460171264 |
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| author | Sid-Ali Amamra James Marco |
| author_facet | Sid-Ali Amamra James Marco |
| author_sort | Sid-Ali Amamra |
| collection | DOAJ |
| description | This paper presents an optimised bidirectional Vehicle-to-Grid (V2G) operation, based on a fleet of Electric Vehicles (EVs) connected to a distributed power system, through a network of charging stations. The system is able to perform day-ahead scheduling of EV charging/discharging to reduce EV ownership charging cost through participating in frequency and voltage regulation services. The proposed system is able to respond to real-time EV usage data and identify the required changes that must be made to the day-ahead energy prediction, further optimising the use of EVs to support both voltage and frequency regulation. An optimisation strategy is established for V2G scheduling, addressing the initial battery State Of Charge (SOC), EV plug-in time, regulation prices, desired EV departure time, battery degradation cost and vehicle charging requirements. The effectiveness of the proposed system is demonstrated using a standardized IEEE 33-node distribution network integrating five EV charging stations. Two case studies have been undertaken to verify the contribution of this advanced energy supervision approach. Comprehensive simulation results clearly show an opportunity to provide frequency and voltage support while concurrently reducing EV charging costs, through the integration of V2G technology, especially during on-peak periods when the need for active and reactive power is high. |
| first_indexed | 2024-12-14T10:23:30Z |
| format | Article |
| id | doaj.art-40e4614fad7745f59a57346bfea13096 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:23:30Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-40e4614fad7745f59a57346bfea130962022-12-21T23:06:28ZengIEEEIEEE Access2169-35362019-01-01717852817853810.1109/ACCESS.2019.29586648930487Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging CostSid-Ali Amamra0https://orcid.org/0000-0001-9388-9010James Marco1https://orcid.org/0000-0001-6827-0830Warwick Manufacturing Group Department, The University of Warwick, Coventry, U.K.Warwick Manufacturing Group Department, The University of Warwick, Coventry, U.K.This paper presents an optimised bidirectional Vehicle-to-Grid (V2G) operation, based on a fleet of Electric Vehicles (EVs) connected to a distributed power system, through a network of charging stations. The system is able to perform day-ahead scheduling of EV charging/discharging to reduce EV ownership charging cost through participating in frequency and voltage regulation services. The proposed system is able to respond to real-time EV usage data and identify the required changes that must be made to the day-ahead energy prediction, further optimising the use of EVs to support both voltage and frequency regulation. An optimisation strategy is established for V2G scheduling, addressing the initial battery State Of Charge (SOC), EV plug-in time, regulation prices, desired EV departure time, battery degradation cost and vehicle charging requirements. The effectiveness of the proposed system is demonstrated using a standardized IEEE 33-node distribution network integrating five EV charging stations. Two case studies have been undertaken to verify the contribution of this advanced energy supervision approach. Comprehensive simulation results clearly show an opportunity to provide frequency and voltage support while concurrently reducing EV charging costs, through the integration of V2G technology, especially during on-peak periods when the need for active and reactive power is high.https://ieeexplore.ieee.org/document/8930487/Electric vehiclevehicle-to-gridbattery degradation performancefrequency regulation servicevoltage regulation servicecharging cost |
| spellingShingle | Sid-Ali Amamra James Marco Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost IEEE Access Electric vehicle vehicle-to-grid battery degradation performance frequency regulation service voltage regulation service charging cost |
| title | Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost |
| title_full | Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost |
| title_fullStr | Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost |
| title_full_unstemmed | Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost |
| title_short | Vehicle-to-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost |
| title_sort | vehicle to grid aggregator to support power grid and reduce electric vehicle charging cost |
| topic | Electric vehicle vehicle-to-grid battery degradation performance frequency regulation service voltage regulation service charging cost |
| url | https://ieeexplore.ieee.org/document/8930487/ |
| work_keys_str_mv | AT sidaliamamra vehicletogridaggregatortosupportpowergridandreduceelectricvehiclechargingcost AT jamesmarco vehicletogridaggregatortosupportpowergridandreduceelectricvehiclechargingcost |