Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology
The tendency towards carbon dioxide reduction greatly stimulates the popularity of electric vehicles against conventional vehicles. However, electric vehicle chargers represent a huge electric burden, which affects the performance and stability of the grid. Various optimization methodologies have be...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9646927/ |
| _version_ | 1818871706958168064 |
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| author | Mohamed Ahmed Yasmine Abouelseoud Nabil H. Abbasy Sara H. Kamel |
| author_facet | Mohamed Ahmed Yasmine Abouelseoud Nabil H. Abbasy Sara H. Kamel |
| author_sort | Mohamed Ahmed |
| collection | DOAJ |
| description | The tendency towards carbon dioxide reduction greatly stimulates the popularity of electric vehicles against conventional vehicles. However, electric vehicle chargers represent a huge electric burden, which affects the performance and stability of the grid. Various optimization methodologies have been proposed in literature to enhance the performance of the distribution grids. However, existing techniques handle the raised issues from individual perspectives and/or with limited scopes. Therefore, this paper aims to develop a distributed controller-based coordination scheme in both medium and low voltage networks to handle the electric vehicles’ charging impact on the power grid. The scope of this work covers improving the network voltage profile, reducing the total active and reactive power, reducing the load fluctuations and total charging cost, while taking into consideration the random arrivals/departures of electric vehicles and the vehicle owners’ preferred charging time zones with vehicle-to-grid technology. Simulations are carried out to prove the success of the proposed method in improving the performance of IEEE 31-bus 23 kV system with several 415 V residential feeders. Additionally, the proposed method is validated using Controller Hardware-in-the-Loop. The results show that the proposed method can significantly reduce the issues that appear in the electric power grid during charging with minor changes in the existing grid. The results prove the successful implementation of different types of charging, namely, ultra-fast, fast, moderate, normal and vehicle-to-grid charging with minimum charging cost to enhance the owner’s satisfaction level. |
| first_indexed | 2024-12-19T12:27:11Z |
| format | Article |
| id | doaj.art-f987faa98ea444cd8fed71394eef4f93 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T12:27:11Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f987faa98ea444cd8fed71394eef4f932022-12-21T20:21:32ZengIEEEIEEE Access2169-35362021-01-01916464316465810.1109/ACCESS.2021.31348689646927Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid TechnologyMohamed Ahmed0https://orcid.org/0000-0002-8569-4763Yasmine Abouelseoud1https://orcid.org/0000-0002-8888-7309Nabil H. Abbasy2https://orcid.org/0000-0002-2852-0812Sara H. Kamel3https://orcid.org/0000-0002-0118-6949Department of Engineering Mathematics and Physics, Alexandria University, Alexandria, EgyptDepartment of Engineering Mathematics and Physics, Alexandria University, Alexandria, EgyptDepartment of Electrical Engineering, Alexandria University, Alexandria, EgyptDepartment of Engineering Mathematics and Physics, Alexandria University, Alexandria, EgyptThe tendency towards carbon dioxide reduction greatly stimulates the popularity of electric vehicles against conventional vehicles. However, electric vehicle chargers represent a huge electric burden, which affects the performance and stability of the grid. Various optimization methodologies have been proposed in literature to enhance the performance of the distribution grids. However, existing techniques handle the raised issues from individual perspectives and/or with limited scopes. Therefore, this paper aims to develop a distributed controller-based coordination scheme in both medium and low voltage networks to handle the electric vehicles’ charging impact on the power grid. The scope of this work covers improving the network voltage profile, reducing the total active and reactive power, reducing the load fluctuations and total charging cost, while taking into consideration the random arrivals/departures of electric vehicles and the vehicle owners’ preferred charging time zones with vehicle-to-grid technology. Simulations are carried out to prove the success of the proposed method in improving the performance of IEEE 31-bus 23 kV system with several 415 V residential feeders. Additionally, the proposed method is validated using Controller Hardware-in-the-Loop. The results show that the proposed method can significantly reduce the issues that appear in the electric power grid during charging with minor changes in the existing grid. The results prove the successful implementation of different types of charging, namely, ultra-fast, fast, moderate, normal and vehicle-to-grid charging with minimum charging cost to enhance the owner’s satisfaction level.https://ieeexplore.ieee.org/document/9646927/EV chargingquadratic programmingpattern searchenergy managementV2GV2V |
| spellingShingle | Mohamed Ahmed Yasmine Abouelseoud Nabil H. Abbasy Sara H. Kamel Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology IEEE Access EV charging quadratic programming pattern search energy management V2G V2V |
| title | Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology |
| title_full | Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology |
| title_fullStr | Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology |
| title_full_unstemmed | Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology |
| title_short | Hierarchical Distributed Framework for Optimal Dynamic Load Management of Electric Vehicles With Vehicle-to-Grid Technology |
| title_sort | hierarchical distributed framework for optimal dynamic load management of electric vehicles with vehicle to grid technology |
| topic | EV charging quadratic programming pattern search energy management V2G V2V |
| url | https://ieeexplore.ieee.org/document/9646927/ |
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