Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique
This manuscript proposes a novel hybrid artificial intelligence (AI) approach for a unified power quality conditioner (UPQC) designed specifically for electric vehicle charging stations (EVCSs). The aim is to integrate multiple vehicle-to-grid (V2G) functionalities, thereby mitigating the challenges...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-04-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1343635/full |
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| author | Ch. S. V. Prasada Rao A. Pandian Ch. Rami Reddy Ch. Rami Reddy Mohit Bajaj Mohit Bajaj Mohit Bajaj Mohit Bajaj Jabir Massoud Mokhtar Shouran |
| author_facet | Ch. S. V. Prasada Rao A. Pandian Ch. Rami Reddy Ch. Rami Reddy Mohit Bajaj Mohit Bajaj Mohit Bajaj Mohit Bajaj Jabir Massoud Mokhtar Shouran |
| author_sort | Ch. S. V. Prasada Rao |
| collection | DOAJ |
| description | This manuscript proposes a novel hybrid artificial intelligence (AI) approach for a unified power quality conditioner (UPQC) designed specifically for electric vehicle charging stations (EVCSs). The aim is to integrate multiple vehicle-to-grid (V2G) functionalities, thereby mitigating the challenges associated with electric vehicle (EV) grid integration and the incorporation of distributed energy resources (DERs). The hybrid technique presented in this manuscript combines the gradient boosting decision tree (GBDT) algorithm and the jellyfish search (JS) algorithm, referred to as the GBDT–JS technique. This innovative approach involves utilizing the charging station to offer EV charging services and facilitating the discharge of EVs to the power grid. Integration of the UPQC with DERs, such as photovoltaic (PV), is implemented to decrease the power rating of converters and fulfill power demand requirements. The initial converter within the UPQC is employed to manage the direct current (DC) voltage, while the second converter oversees the power charging or discharging processes of EVs. Additionally, it mitigates the impact of battery voltage fluctuations. The UPQC with vehicle-to-grid functionality minimizes the load pressure on the grid, preventing over-current issues. The presented approach regulates the UPQC converters to mitigate power quality issues such as harmonic currents and voltage sags. Subsequently, the effectiveness of this technique is demonstrated using the MATLAB/Simulink operating platform. The evaluation of GBDT–JS performance involves a comparative analysis with existing techniques. This assessment reveals that the proposed method effectively alleviates power quality issues, specifically reducing total harmonic distortion (THD), and delivers optimal outcomes. |
| first_indexed | 2024-04-24T11:18:52Z |
| format | Article |
| id | doaj.art-1875f237a46e405083788cfdafdcdad6 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-24T11:18:52Z |
| publishDate | 2024-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-1875f237a46e405083788cfdafdcdad62024-04-11T04:54:50ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-04-011210.3389/fenrg.2024.13436351343635Unified power quality conditioner-based solar EV charging station using the GBDT–JS techniqueCh. S. V. Prasada Rao0A. Pandian1Ch. Rami Reddy2Ch. Rami Reddy3Mohit Bajaj4Mohit Bajaj5Mohit Bajaj6Mohit Bajaj7Jabir Massoud8Mokhtar Shouran9Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, IndiaDepartment of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, IndiaDepartment Electrical and Electronics Engineering, Joginpally B. R. Engineering College, Hyderabad, IndiaApplied Science Research Center, Applied Science Private University, Amman, JordanDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, IndiaHourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, JordanDepartment of Electrical Engineering, Graphic Era Hill University, Dehradun, IndiaApplied Science Research Center, Applied Science Private University, Amman, JordanSchool of Engineering, Cardiff University, Cardiff, United KingdomLibyan Center for Engineering Research and Information Technology, Bani Walid, LibyaThis manuscript proposes a novel hybrid artificial intelligence (AI) approach for a unified power quality conditioner (UPQC) designed specifically for electric vehicle charging stations (EVCSs). The aim is to integrate multiple vehicle-to-grid (V2G) functionalities, thereby mitigating the challenges associated with electric vehicle (EV) grid integration and the incorporation of distributed energy resources (DERs). The hybrid technique presented in this manuscript combines the gradient boosting decision tree (GBDT) algorithm and the jellyfish search (JS) algorithm, referred to as the GBDT–JS technique. This innovative approach involves utilizing the charging station to offer EV charging services and facilitating the discharge of EVs to the power grid. Integration of the UPQC with DERs, such as photovoltaic (PV), is implemented to decrease the power rating of converters and fulfill power demand requirements. The initial converter within the UPQC is employed to manage the direct current (DC) voltage, while the second converter oversees the power charging or discharging processes of EVs. Additionally, it mitigates the impact of battery voltage fluctuations. The UPQC with vehicle-to-grid functionality minimizes the load pressure on the grid, preventing over-current issues. The presented approach regulates the UPQC converters to mitigate power quality issues such as harmonic currents and voltage sags. Subsequently, the effectiveness of this technique is demonstrated using the MATLAB/Simulink operating platform. The evaluation of GBDT–JS performance involves a comparative analysis with existing techniques. This assessment reveals that the proposed method effectively alleviates power quality issues, specifically reducing total harmonic distortion (THD), and delivers optimal outcomes.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1343635/fullpower qualityunified power quality conditionervehicles to grid functionelectric vehicles charging stationtotal harmonic distortion |
| spellingShingle | Ch. S. V. Prasada Rao A. Pandian Ch. Rami Reddy Ch. Rami Reddy Mohit Bajaj Mohit Bajaj Mohit Bajaj Mohit Bajaj Jabir Massoud Mokhtar Shouran Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique Frontiers in Energy Research power quality unified power quality conditioner vehicles to grid function electric vehicles charging station total harmonic distortion |
| title | Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique |
| title_full | Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique |
| title_fullStr | Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique |
| title_full_unstemmed | Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique |
| title_short | Unified power quality conditioner-based solar EV charging station using the GBDT–JS technique |
| title_sort | unified power quality conditioner based solar ev charging station using the gbdt js technique |
| topic | power quality unified power quality conditioner vehicles to grid function electric vehicles charging station total harmonic distortion |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1343635/full |
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