Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach
This study presents an optimization method for scheduling electric vehicle (EV) charging in residential areas, aimed at minimizing costs associated with peak demand periods. As the adoption of EVs increases, effective management of their charging demands becomes crucial for both utilities and EV ow...
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| Format: | Article |
| Language: | English |
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Sukkur IBA University
2025-06-01
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| Series: | Sukkur IBA Journal of Emerging Technologies |
| Subjects: | |
| Online Access: | https://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjet/article/view/1602 |
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| author | Muhammad Ahsan Niazi Syed Abid Ali Shah Bukhari Vikram Kumar Khalil Muhammad Zuhaib Usama Aslam |
| author_facet | Muhammad Ahsan Niazi Syed Abid Ali Shah Bukhari Vikram Kumar Khalil Muhammad Zuhaib Usama Aslam |
| author_sort | Muhammad Ahsan Niazi |
| collection | DOAJ |
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This study presents an optimization method for scheduling electric vehicle (EV) charging in residential areas, aimed at minimizing costs associated with peak demand periods. As the adoption of EVs increases, effective management of their charging demands becomes crucial for both utilities and EV owners. This research develops a mathematical model for a combined EV aggregator that coordinates charging and discharging activities among residential, commercial, and industrial users. Using a Multi-Agent Charging and Discharging (MACD) algorithm, the study shifts EV charging from peak to off-peak hours, leveraging time-of-use (TOU) pricing to reduce overall electricity costs. Case studies demonstrate that coordinated charging can decrease costs by up to 15% compared to uncoordinated methods, highlighting the algorithm's efficiency in managing energy demand and enhancing grid stability. The findings underscore the potential for optimized EV scheduling to contribute significantly to smart grid operations and suggest avenues for future research into the algorithm's broader impacts on network performance.
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| format | Article |
| id | doaj-art-e6889ebcb7b8477fa351d5f000b0561e |
| institution | Kabale University |
| issn | 2616-7069 2617-3115 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sukkur IBA University |
| record_format | Article |
| series | Sukkur IBA Journal of Emerging Technologies |
| spelling | doaj-art-e6889ebcb7b8477fa351d5f000b0561e2025-08-20T03:25:59ZengSukkur IBA UniversitySukkur IBA Journal of Emerging Technologies2616-70692617-31152025-06-018110.30537/sjet.v8i1.1602Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach Muhammad Ahsan NiaziSyed Abid Ali Shah Bukhari0Vikram Kumar1Khalil Muhammad ZuhaibUsama AslamThe University of LarkanoSaouth East University China This study presents an optimization method for scheduling electric vehicle (EV) charging in residential areas, aimed at minimizing costs associated with peak demand periods. As the adoption of EVs increases, effective management of their charging demands becomes crucial for both utilities and EV owners. This research develops a mathematical model for a combined EV aggregator that coordinates charging and discharging activities among residential, commercial, and industrial users. Using a Multi-Agent Charging and Discharging (MACD) algorithm, the study shifts EV charging from peak to off-peak hours, leveraging time-of-use (TOU) pricing to reduce overall electricity costs. Case studies demonstrate that coordinated charging can decrease costs by up to 15% compared to uncoordinated methods, highlighting the algorithm's efficiency in managing energy demand and enhancing grid stability. The findings underscore the potential for optimized EV scheduling to contribute significantly to smart grid operations and suggest avenues for future research into the algorithm's broader impacts on network performance. https://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjet/article/view/1602Keywords: Energy Management; EV Charging Schedualing; Demand Response; Smart gird; |
| spellingShingle | Muhammad Ahsan Niazi Syed Abid Ali Shah Bukhari Vikram Kumar Khalil Muhammad Zuhaib Usama Aslam Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach Sukkur IBA Journal of Emerging Technologies Keywords: Energy Management; EV Charging Schedualing; Demand Response; Smart gird; |
| title | Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach |
| title_full | Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach |
| title_fullStr | Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach |
| title_full_unstemmed | Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach |
| title_short | Optimal Scheduling of Electric Vehicle Aggregators in Residential Areas: A Cost Minimization Approach |
| title_sort | optimal scheduling of electric vehicle aggregators in residential areas a cost minimization approach |
| topic | Keywords: Energy Management; EV Charging Schedualing; Demand Response; Smart gird; |
| url | https://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjet/article/view/1602 |
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