Supervised EV Charging Scheduling Algorithms with AMI System Coordination
This research explores the effectiveness of three electric vehicle (EV) charging models-Balance Load Sharing, First-Come, First-Served (FCFS), and Shortest Job First (SJF)-in managing electrical loads and preventing transformer overloads within Thailand's distribution systems. This is achieved...
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| Vydáno v: | IEEE ... International Smart Cities Conference (Online) s. 1 - 6 |
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| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
29.10.2024
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| ISSN: | 2687-8860 |
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| Abstract | This research explores the effectiveness of three electric vehicle (EV) charging models-Balance Load Sharing, First-Come, First-Served (FCFS), and Shortest Job First (SJF)-in managing electrical loads and preventing transformer overloads within Thailand's distribution systems. This is achieved through collaboration between the Advanced Metering Infrastructure (AMI) smart meter and EV charger within the system. With the growing adoption of EVs, particularly during off-peak periods under Time-of-Use (TOU) tariffs, the study addresses the need for efficient load management to prevent system overloads. The Balance Load Sharing model, which dynamically adjusts charging power based on real-time load conditions, demonstrated superior efficiency by reducing overall charging times and eliminating queuing delays. In contrast, the FCFS and SJF models, while yielding similar overall charging times, showed significant differences in queue management. The FCFS model, which charges vehicles in their order of arrival, led to extended waiting times during peak periods. On the other hand, the SJF model, which prioritizes vehicles requiring shorter charging durations, effectively minimized queuing times, thereby enhancing overall system efficiency. |
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| AbstractList | This research explores the effectiveness of three electric vehicle (EV) charging models-Balance Load Sharing, First-Come, First-Served (FCFS), and Shortest Job First (SJF)-in managing electrical loads and preventing transformer overloads within Thailand's distribution systems. This is achieved through collaboration between the Advanced Metering Infrastructure (AMI) smart meter and EV charger within the system. With the growing adoption of EVs, particularly during off-peak periods under Time-of-Use (TOU) tariffs, the study addresses the need for efficient load management to prevent system overloads. The Balance Load Sharing model, which dynamically adjusts charging power based on real-time load conditions, demonstrated superior efficiency by reducing overall charging times and eliminating queuing delays. In contrast, the FCFS and SJF models, while yielding similar overall charging times, showed significant differences in queue management. The FCFS model, which charges vehicles in their order of arrival, led to extended waiting times during peak periods. On the other hand, the SJF model, which prioritizes vehicles requiring shorter charging durations, effectively minimized queuing times, thereby enhancing overall system efficiency. |
| Author | Mateesakulkan, Supiwat Suwanasri, Thanapong Pirak, Chaiyod |
| Author_xml | – sequence: 1 givenname: Supiwat surname: Mateesakulkan fullname: Mateesakulkan, Supiwat email: supiwat.m@email.kmutnb.ac.th organization: Graduate School of Engineering, King Mongkut's University of Technology,The Sirindhorn International Thai-German,North Bangkok,Bangkok,Thailand – sequence: 2 givenname: Thanapong surname: Suwanasri fullname: Suwanasri, Thanapong email: thanapong.s@tggs.kmutnb.ac.th organization: Graduate School of Engineering, King Mongkut's University of Technology,The Sirindhorn International Thai-German,North Bangkok,Bangkok,Thailand – sequence: 3 givenname: Chaiyod surname: Pirak fullname: Pirak, Chaiyod email: chaiyod.p@tggs.kmutnb.ac.th organization: Graduate School of Engineering, King Mongkut's University of Technology,The Sirindhorn International Thai-German,North Bangkok,Bangkok,Thailand |
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| Snippet | This research explores the effectiveness of three electric vehicle (EV) charging models-Balance Load Sharing, First-Come, First-Served (FCFS), and Shortest Job... |
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| SubjectTerms | Delays Electric vehicle charging Electric Vehicles (EVs) Charging Load management Load modeling Scheduling algorithms Smart cities Smart Grid Smart grids Smart meters Tariffs Transformers |
| Title | Supervised EV Charging Scheduling Algorithms with AMI System Coordination |
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