Summary of Tukey HSD test—Runtime results.
<div><p>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...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
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| _version_ | 1852023839630819328 |
|---|---|
| author | Guilherme Gloriano de Souza (20521868) |
| author2 | Ricardo Ribeiro dos Santos (19238869) Ruben Barros Godoy (20521871) |
| author2_role | author author |
| author_facet | Guilherme Gloriano de Souza (20521868) Ricardo Ribeiro dos Santos (19238869) Ruben Barros Godoy (20521871) |
| author_role | author |
| dc.creator.none.fl_str_mv | Guilherme Gloriano de Souza (20521868) Ricardo Ribeiro dos Santos (19238869) Ruben Barros Godoy (20521871) |
| dc.date.none.fl_str_mv | 2025-01-07T18:43:35Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0316677.t007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Summary_of_Tukey_HSD_test_Runtime_results_/28155479 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Evolutionary Biology Ecology Developmental Biology Science Policy Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified hour availability scenario enabling better alignment 65 %, demonstrating optimizing power grids challenges electricity grids thereby making demand lcvf could play alleviate grid stress boosting energy efficiency load conservation valley increasing charging demand energy demand compared energy grids ev charging lcvf achieved lcvf ), grid stability grid capacity xlink "> study introduces side management promising method optimistic valley novel heuristic maintaining balance flexible scenarios findings indicate enhancing real electric vehicles crucial role comprehensive analysis |
| dc.title.none.fl_str_mv | Summary of Tukey HSD test—Runtime results. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>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.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_d726b2fecfc52d32bf44126bb2f0c0bf |
| identifier_str_mv | 10.1371/journal.pone.0316677.t007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28155479 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Summary of Tukey HSD test—Runtime results.Guilherme Gloriano de Souza (20521868)Ricardo Ribeiro dos Santos (19238869)Ruben Barros Godoy (20521871)Evolutionary BiologyEcologyDevelopmental BiologyScience PolicyChemical Sciences not elsewhere classifiedPhysical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedhour availability scenarioenabling better alignment65 %, demonstratingoptimizing power gridschallenges electricity gridsthereby making demandlcvf could playalleviate grid stressboosting energy efficiencyload conservation valleyincreasing charging demandenergy demand comparedenergy gridsev charginglcvf achievedlcvf ),grid stabilitygrid capacityxlink ">study introducesside managementpromising methodoptimistic valleynovel heuristicmaintaining balanceflexible scenariosfindings indicateenhancing realelectric vehiclescrucial rolecomprehensive analysis<div><p>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.</p></div>2025-01-07T18:43:35ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0316677.t007https://figshare.com/articles/dataset/Summary_of_Tukey_HSD_test_Runtime_results_/28155479CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/281554792025-01-07T18:43:35Z |
| spellingShingle | Summary of Tukey HSD test—Runtime results. Guilherme Gloriano de Souza (20521868) Evolutionary Biology Ecology Developmental Biology Science Policy Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified hour availability scenario enabling better alignment 65 %, demonstrating optimizing power grids challenges electricity grids thereby making demand lcvf could play alleviate grid stress boosting energy efficiency load conservation valley increasing charging demand energy demand compared energy grids ev charging lcvf achieved lcvf ), grid stability grid capacity xlink "> study introduces side management promising method optimistic valley novel heuristic maintaining balance flexible scenarios findings indicate enhancing real electric vehicles crucial role comprehensive analysis |
| status_str | publishedVersion |
| title | Summary of Tukey HSD test—Runtime results. |
| title_full | Summary of Tukey HSD test—Runtime results. |
| title_fullStr | Summary of Tukey HSD test—Runtime results. |
| title_full_unstemmed | Summary of Tukey HSD test—Runtime results. |
| title_short | Summary of Tukey HSD test—Runtime results. |
| title_sort | Summary of Tukey HSD test—Runtime results. |
| topic | Evolutionary Biology Ecology Developmental Biology Science Policy Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified hour availability scenario enabling better alignment 65 %, demonstrating optimizing power grids challenges electricity grids thereby making demand lcvf could play alleviate grid stress boosting energy efficiency load conservation valley increasing charging demand energy demand compared energy grids ev charging lcvf achieved lcvf ), grid stability grid capacity xlink "> study introduces side management promising method optimistic valley novel heuristic maintaining balance flexible scenarios findings indicate enhancing real electric vehicles crucial role comprehensive analysis |