Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach
In the present work, the programming of thermal production units is achieved using vehicle-to-grid (V2G) technology. The proposed solution is developed through the mixed-integer non-linear programming (MINLP) method in the GAMS simulation environment. The main objective of this study is to minimize...
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2022-04-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_148172_03f017f572f552021f3b8f53f02a14f1.pdf |
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| author | Jinkui Li Huahui Li |
| author_facet | Jinkui Li Huahui Li |
| author_sort | Jinkui Li |
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| description | In the present work, the programming of thermal production units is achieved using vehicle-to-grid (V2G) technology. The proposed solution is developed through the mixed-integer non-linear programming (MINLP) method in the GAMS simulation environment. The main objective of this study is to minimize the considered objective function (OF). Several constraints are also considered in this optimization problem, which should be met by the proposed method. The proposed method is evaluated to validate its efficiency. This technique is tested on an IEEE 10-unit case study that includes 5000 EVs (electric vehicles). According to the obtained results, the utilized V2G can significantly influence the unit commitment (UC) problem. EVs introduce new loads to the electrical network, which increases the expenditure on power production. Nevertheless, the coordinated charging method and rational utilization of V2G power can reduce this expenditure. Additionally, minimizing operating expenses as the programming goal presents a better overall economic and environmental performance in thermal units with V2G cases. |
| format | Article |
| id | doaj-art-6759b9fdabf94a949ff3711e088d5e4c |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2022-04-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-6759b9fdabf94a949ff3711e088d5e4c2025-02-12T08:46:07ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632022-04-0100101324010.22034/aeis.2022.148172148172Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming ApproachJinkui Li0Huahui Li1School of Economics and Management, Guangdong Songshan Polytechnic College, Shaoguan, Guangdong, 512000, ChinaSchool of Management, Universiti Sains Malaysia, Penang 11800, MalaysiaIn the present work, the programming of thermal production units is achieved using vehicle-to-grid (V2G) technology. The proposed solution is developed through the mixed-integer non-linear programming (MINLP) method in the GAMS simulation environment. The main objective of this study is to minimize the considered objective function (OF). Several constraints are also considered in this optimization problem, which should be met by the proposed method. The proposed method is evaluated to validate its efficiency. This technique is tested on an IEEE 10-unit case study that includes 5000 EVs (electric vehicles). According to the obtained results, the utilized V2G can significantly influence the unit commitment (UC) problem. EVs introduce new loads to the electrical network, which increases the expenditure on power production. Nevertheless, the coordinated charging method and rational utilization of V2G power can reduce this expenditure. Additionally, minimizing operating expenses as the programming goal presents a better overall economic and environmental performance in thermal units with V2G cases.https://aeis.bilijipub.com/article_148172_03f017f572f552021f3b8f53f02a14f1.pdfeconomic-environmentalpower systemelectrical vehiclesthermal production |
| spellingShingle | Jinkui Li Huahui Li Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach Advances in Engineering and Intelligence Systems economic-environmental power system electrical vehicles thermal production |
| title | Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach |
| title_full | Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach |
| title_fullStr | Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach |
| title_full_unstemmed | Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach |
| title_short | Employment of Vehicle-to-Grid Technology to Decrease the Economic-Environmental Costs Equipped with a Mixed-Integer Non-Linear Programming Approach |
| title_sort | employment of vehicle to grid technology to decrease the economic environmental costs equipped with a mixed integer non linear programming approach |
| topic | economic-environmental power system electrical vehicles thermal production |
| url | https://aeis.bilijipub.com/article_148172_03f017f572f552021f3b8f53f02a14f1.pdf |
| work_keys_str_mv | AT jinkuili employmentofvehicletogridtechnologytodecreasetheeconomicenvironmentalcostsequippedwithamixedintegernonlinearprogrammingapproach AT huahuili employmentofvehicletogridtechnologytodecreasetheeconomicenvironmentalcostsequippedwithamixedintegernonlinearprogrammingapproach |