Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging
The rapid development of electric vehicles (EVs) has benefited from the fact that more and more countries or regions have begun to attach importance to clean energy and environmental protection. This paper focuses on the optimization of EV charging, which cannot be ignored in the rapid development o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9808315/ |
| _version_ | 1797859108045455360 |
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| author | Zixuan Jia Jianing Li Xiao-Ping Zhang Ray Zhang |
| author_facet | Zixuan Jia Jianing Li Xiao-Ping Zhang Ray Zhang |
| author_sort | Zixuan Jia |
| collection | DOAJ |
| description | The rapid development of electric vehicles (EVs) has benefited from the fact that more and more countries or regions have begun to attach importance to clean energy and environmental protection. This paper focuses on the optimization of EV charging, which cannot be ignored in the rapid development of EVs. The increase in the penetration of EVs will generate new electrical loads during the charging process, which will bring new challenges to local power systems. Moreover, the uncoordinated charging of EVs may increase the peak-to-valley difference in the load, aggravate harmonic distortions, and affect auxiliary services. To stabilize the operations of power grids, many studies have been carried out to optimize EV charging. This paper reviews these studies from two aspects: EV charging forecasting and coordinated EV charging strategies. Comparative analyses are carried out to identify the advantages and disadvantages of different methods or models. At the end of this paper, recommendations are given to address the challenges of EV charging and associated charging strategies. |
| first_indexed | 2024-04-09T21:24:09Z |
| format | Article |
| id | doaj.art-bb1f12db83f74182b87e8539d2a9cc6d |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-04-09T21:24:09Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-bb1f12db83f74182b87e8539d2a9cc6d2023-03-27T23:00:50ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-0111238940010.35833/MPCE.2021.0007779808315Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle ChargingZixuan Jia0Jianing Li1Xiao-Ping Zhang2Ray Zhang3School of Engineering, University of Birmingham,Department of Electronic, Electrical and Systems Engineering,Birmingham,United KingdomSchool of Engineering, University of Birmingham,Department of Electronic, Electrical and Systems Engineering,Birmingham,United KingdomSchool of Engineering, University of Birmingham,Department of Electronic, Electrical and Systems Engineering,Birmingham,United KingdomSchool of Engineering, University of Birmingham,Department of Electronic, Electrical and Systems Engineering,Birmingham,United KingdomThe rapid development of electric vehicles (EVs) has benefited from the fact that more and more countries or regions have begun to attach importance to clean energy and environmental protection. This paper focuses on the optimization of EV charging, which cannot be ignored in the rapid development of EVs. The increase in the penetration of EVs will generate new electrical loads during the charging process, which will bring new challenges to local power systems. Moreover, the uncoordinated charging of EVs may increase the peak-to-valley difference in the load, aggravate harmonic distortions, and affect auxiliary services. To stabilize the operations of power grids, many studies have been carried out to optimize EV charging. This paper reviews these studies from two aspects: EV charging forecasting and coordinated EV charging strategies. Comparative analyses are carried out to identify the advantages and disadvantages of different methods or models. At the end of this paper, recommendations are given to address the challenges of EV charging and associated charging strategies.https://ieeexplore.ieee.org/document/9808315/Electric vehicle (EV)forecastingaggregatorcoordination strategysmart charging |
| spellingShingle | Zixuan Jia Jianing Li Xiao-Ping Zhang Ray Zhang Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging Journal of Modern Power Systems and Clean Energy Electric vehicle (EV) forecasting aggregator coordination strategy smart charging |
| title | Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging |
| title_full | Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging |
| title_fullStr | Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging |
| title_full_unstemmed | Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging |
| title_short | Review on Optimization of Forecasting and Coordination Strategies for Electric Vehicle Charging |
| title_sort | review on optimization of forecasting and coordination strategies for electric vehicle charging |
| topic | Electric vehicle (EV) forecasting aggregator coordination strategy smart charging |
| url | https://ieeexplore.ieee.org/document/9808315/ |
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