Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System
The concept of transportation electrification is proliferating due to its high impact on emission reduction. However, the increased usage of electric vehicles strains the power grid’s charging infrastructure. As a result, to reduce demand on the power grid, lower the emissions, and solve the intermi...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/2/685 |
| _version_ | 1797443300956831744 |
|---|---|
| author | Abu Bakar Siddique Hossam A. Gabbar |
| author_facet | Abu Bakar Siddique Hossam A. Gabbar |
| author_sort | Abu Bakar Siddique |
| collection | DOAJ |
| description | The concept of transportation electrification is proliferating due to its high impact on emission reduction. However, the increased usage of electric vehicles strains the power grid’s charging infrastructure. As a result, to reduce demand on the power grid, lower the emissions, and solve the intermittency problem of Renewable Energy Sources (RESs), a Nuclear–renewable Hybrid Energy System (N-R HES) is proposed in this research to support the load demand of a Fast Charging Station (FCS). Fulfilling the power demand of the FCS while reducing the generation cost and waste of energy is a vital issue, and hence, energy management with optimization is a must for the hybrid energy system. To address this issue, a model reference adaptive control with a mixed-integer linear programming-based energy management method was modelled to accomplish the charging station’s extensive performance. MATLAB/Simulink software has been used to model and simulate the proposed system, and the results are analyzed. The assessment shows that the proposed energy management system offers an optimized performance of the fast charging station integrating with nuclear and renewable energy. |
| first_indexed | 2024-03-09T12:53:59Z |
| format | Article |
| id | doaj.art-837925faaf19496e81d84715911ba4a5 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T12:53:59Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-837925faaf19496e81d84715911ba4a52023-11-30T22:02:33ZengMDPI AGEnergies1996-10732023-01-0116268510.3390/en16020685Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy SystemAbu Bakar Siddique0Hossam A. Gabbar1Faculty of Energy Systems and Nuclear Science, Ontario Tech University (UOIT), Oshawa, ON L1H 7K4, CanadaFaculty of Energy Systems and Nuclear Science, Ontario Tech University (UOIT), Oshawa, ON L1H 7K4, CanadaThe concept of transportation electrification is proliferating due to its high impact on emission reduction. However, the increased usage of electric vehicles strains the power grid’s charging infrastructure. As a result, to reduce demand on the power grid, lower the emissions, and solve the intermittency problem of Renewable Energy Sources (RESs), a Nuclear–renewable Hybrid Energy System (N-R HES) is proposed in this research to support the load demand of a Fast Charging Station (FCS). Fulfilling the power demand of the FCS while reducing the generation cost and waste of energy is a vital issue, and hence, energy management with optimization is a must for the hybrid energy system. To address this issue, a model reference adaptive control with a mixed-integer linear programming-based energy management method was modelled to accomplish the charging station’s extensive performance. MATLAB/Simulink software has been used to model and simulate the proposed system, and the results are analyzed. The assessment shows that the proposed energy management system offers an optimized performance of the fast charging station integrating with nuclear and renewable energy.https://www.mdpi.com/1996-1073/16/2/685nuclear–renewable hybrid energy systemfast charging stationenergy management systemoptimizationadaptive controlmixed-integer linear programming |
| spellingShingle | Abu Bakar Siddique Hossam A. Gabbar Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System Energies nuclear–renewable hybrid energy system fast charging station energy management system optimization adaptive control mixed-integer linear programming |
| title | Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System |
| title_full | Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System |
| title_fullStr | Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System |
| title_full_unstemmed | Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System |
| title_short | Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System |
| title_sort | adaptive mixed integer linear programming based energy management system of fast charging station with nuclear renewable hybrid energy system |
| topic | nuclear–renewable hybrid energy system fast charging station energy management system optimization adaptive control mixed-integer linear programming |
| url | https://www.mdpi.com/1996-1073/16/2/685 |
| work_keys_str_mv | AT abubakarsiddique adaptivemixedintegerlinearprogrammingbasedenergymanagementsystemoffastchargingstationwithnuclearrenewablehybridenergysystem AT hossamagabbar adaptivemixedintegerlinearprogrammingbasedenergymanagementsystemoffastchargingstationwithnuclearrenewablehybridenergysystem |