Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations
The rapid growth of on-road electric vehicles (EVs) empowered the increasing demand for charging stations, hindering widespread EV adoption due to factors like limited range and insufficient charging infrastructure. To address these concerns, the implementation of DC fast charging stations (FCSs) ha...
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Elsevier Ltd
2025
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| author | Elsanabary A. Khairullah K. Aziz N.F.A. Mekhilef S. |
| author2 | 57221120034 |
| author_facet | 57221120034 Elsanabary A. Khairullah K. Aziz N.F.A. Mekhilef S. |
| author_sort | Elsanabary A. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The rapid growth of on-road electric vehicles (EVs) empowered the increasing demand for charging stations, hindering widespread EV adoption due to factors like limited range and insufficient charging infrastructure. To address these concerns, the implementation of DC fast charging stations (FCSs) has emerged as a solution to reduce charging time and promote industry adoption. However, the integration of such FCSs poses challenges in terms of power management, power quality and charging service stability, especially in weak grid infrastructures. This paper proposes a power management strategy for a DC-FCS located near highways, aiming to provide stable, fast, and reliable charging services to EVs while minimizing grid dependency. The proposed strategy incorporates various energy sources and operation modes to ensure charging service stability. Additionally, an optimized tuning control based on an improved Snake optimization (ISO) algorithm is introduced to enhance the performance of the grid-connected voltage source inverters (VSIs) in the DC-FCS. The optimized tuning method using the proposed algorithm shows superior performance compared to other methods. Simulation and experimental tests validate the effectiveness of the proposed system, showcasing its potential for efficient management, stable charging service, and improved power quality in the DC-FCS. ? 2024 Elsevier Ltd |
| format | Article |
| id | my.uniten.dspace-36483 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-364832025-03-03T15:42:39Z Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations Elsanabary A. Khairullah K. Aziz N.F.A. Mekhilef S. 57221120034 59557046000 57221906825 57928298500 Charging (batteries) Electric inverters Electric power system control Electric vehicles Power quality Tuning Vehicle-to-grid Charging station DC fast charging Electric vehicle charging Fast charging stations Improved snake optimization Management control Optimisations Optimized control Optimized tuning control Performance Power management The rapid growth of on-road electric vehicles (EVs) empowered the increasing demand for charging stations, hindering widespread EV adoption due to factors like limited range and insufficient charging infrastructure. To address these concerns, the implementation of DC fast charging stations (FCSs) has emerged as a solution to reduce charging time and promote industry adoption. However, the integration of such FCSs poses challenges in terms of power management, power quality and charging service stability, especially in weak grid infrastructures. This paper proposes a power management strategy for a DC-FCS located near highways, aiming to provide stable, fast, and reliable charging services to EVs while minimizing grid dependency. The proposed strategy incorporates various energy sources and operation modes to ensure charging service stability. Additionally, an optimized tuning control based on an improved Snake optimization (ISO) algorithm is introduced to enhance the performance of the grid-connected voltage source inverters (VSIs) in the DC-FCS. The optimized tuning method using the proposed algorithm shows superior performance compared to other methods. Simulation and experimental tests validate the effectiveness of the proposed system, showcasing its potential for efficient management, stable charging service, and improved power quality in the DC-FCS. ? 2024 Elsevier Ltd Final 2025-03-03T07:42:39Z 2025-03-03T07:42:39Z 2024 Article 10.1016/j.est.2024.111802 2-s2.0-85191811000 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191811000&doi=10.1016%2fj.est.2024.111802&partnerID=40&md5=55536aa6d4d72c9b274e8022ca6ea236 https://irepository.uniten.edu.my/handle/123456789/36483 90 111802 Elsevier Ltd Scopus |
| spellingShingle | Charging (batteries) Electric inverters Electric power system control Electric vehicles Power quality Tuning Vehicle-to-grid Charging station DC fast charging Electric vehicle charging Fast charging stations Improved snake optimization Management control Optimisations Optimized control Optimized tuning control Performance Power management Elsanabary A. Khairullah K. Aziz N.F.A. Mekhilef S. Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations |
| title | Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations |
| title_full | Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations |
| title_fullStr | Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations |
| title_full_unstemmed | Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations |
| title_short | Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations |
| title_sort | power management and optimized control of hybrid pv-bess-grid integrated fast ev charging stations |
| topic | Charging (batteries) Electric inverters Electric power system control Electric vehicles Power quality Tuning Vehicle-to-grid Charging station DC fast charging Electric vehicle charging Fast charging stations Improved snake optimization Management control Optimisations Optimized control Optimized tuning control Performance Power management |
| url_provider | http://dspace.uniten.edu.my/ |