Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging.
The expansion of electric vehicles (EVs) challenges electricity grids by increasing charging demand, thereby making Demand-Side Management (DSM) strategies essential to maintaining balance between supply and demand. Among these strategies, the Valley-Filling approach has emerged as a promising metho...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0316677 |
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| _version_ | 1841533141999681536 |
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| author | Guilherme Gloriano de Souza Ricardo Ribeiro Dos Santos Ruben Barros Godoy |
| author_facet | Guilherme Gloriano de Souza Ricardo Ribeiro Dos Santos Ruben Barros Godoy |
| author_sort | Guilherme Gloriano de Souza |
| collection | DOAJ |
| description | The expansion of electric vehicles (EVs) challenges electricity grids by increasing charging demand, thereby making Demand-Side Management (DSM) strategies essential to maintaining balance between supply and demand. Among these strategies, the Valley-Filling approach has emerged as a promising method to optimize renewable energy utilization and alleviate grid stress. This study introduces a novel heuristic, Load Conservation Valley-Filling (LCVF), which builds on the Classical and Optimistic Valley-Filling approaches by incorporating dynamic load conservation principles, enabling better alignment of EV charging with grid capacity. We conducted a comprehensive analysis of the heuristic across five EV charging scenarios. In both the Original and Flexible scenarios, LCVF reduced energy demand by up to 10.65%, demonstrating its adaptability and effectiveness. Notably, in the 24-hour Availability scenario, LCVF achieved a reduction of over 20% in energy demand compared to CVF. These findings indicate that LCVF could play a crucial role in enhancing real-world EV charging infrastructure, boosting energy efficiency and grid stability. By integrating DSM strategies like LCVF, energy grids can better accommodate renewable energy sources, promoting more sustainable operations. |
| format | Article |
| id | doaj-art-172560417e4c4f5b93788853bc19cc8f |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-172560417e4c4f5b93788853bc19cc8f2025-01-17T05:31:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031667710.1371/journal.pone.0316677Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging.Guilherme Gloriano de SouzaRicardo Ribeiro Dos SantosRuben Barros GodoyThe expansion of electric vehicles (EVs) challenges electricity grids by increasing charging demand, thereby making Demand-Side Management (DSM) strategies essential to maintaining balance between supply and demand. Among these strategies, the Valley-Filling approach has emerged as a promising method to optimize renewable energy utilization and alleviate grid stress. This study introduces a novel heuristic, Load Conservation Valley-Filling (LCVF), which builds on the Classical and Optimistic Valley-Filling approaches by incorporating dynamic load conservation principles, enabling better alignment of EV charging with grid capacity. We conducted a comprehensive analysis of the heuristic across five EV charging scenarios. In both the Original and Flexible scenarios, LCVF reduced energy demand by up to 10.65%, demonstrating its adaptability and effectiveness. Notably, in the 24-hour Availability scenario, LCVF achieved a reduction of over 20% in energy demand compared to CVF. These findings indicate that LCVF could play a crucial role in enhancing real-world EV charging infrastructure, boosting energy efficiency and grid stability. By integrating DSM strategies like LCVF, energy grids can better accommodate renewable energy sources, promoting more sustainable operations.https://doi.org/10.1371/journal.pone.0316677 |
| spellingShingle | Guilherme Gloriano de Souza Ricardo Ribeiro Dos Santos Ruben Barros Godoy Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. PLoS ONE |
| title | Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. |
| title_full | Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. |
| title_fullStr | Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. |
| title_full_unstemmed | Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. |
| title_short | Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. |
| title_sort | optimizing power grids a valley filling heuristic for energy efficient electric vehicle charging |
| url | https://doi.org/10.1371/journal.pone.0316677 |
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