Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid
Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be beneficial for both consumers and utilities. This paper proposes a hybrid optimal online followed by overnight charging coordination of high and low priority PEVs using discrete particle swarm optimization...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Elsevier SA
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/50672 |
| _version_ | 1848758516827815936 |
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| author | Masoum, Mohammad Sherkat Nabavi, S. |
| author_facet | Masoum, Mohammad Sherkat Nabavi, S. |
| author_sort | Masoum, Mohammad Sherkat |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be beneficial for both consumers and utilities. This paper proposes a hybrid optimal online followed by overnight charging coordination of high and low priority PEVs using discrete particle swarm optimization (DPSO) that considers the benefits of both consumers and electric utilities. Objective functions are online minimization of total cost (associated with grid losses and energy generation) and overnight valley filling through minimization of the total load levels. The constraints include substation transformer loading, node voltage regulations and the requested final battery state of charge levels (SOCreq). The main challenge is optimal selection of the overnight starting time (toptimal-overnight,start) to guarantee charging of all vehicle batteries to the SOCreq levels before the requested plug-out times (treq) which is done by simultaneously solving the online and overnight objective functions. The online-overnight PEV coordination approach is implemented on a 449-node SG; results are compared for uncoordinated and coordinated battery charging as well as a modified strategy using cost minimizations for both online and overnight coordination. The impact of toptimal-overnight,start on performance of the proposed PEV coordination is investigated. |
| first_indexed | 2025-11-14T09:45:14Z |
| format | Journal Article |
| id | curtin-20.500.11937-50672 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:45:14Z |
| publishDate | 2016 |
| publisher | Elsevier SA |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-506722017-09-13T15:36:42Z Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid Masoum, Mohammad Sherkat Nabavi, S. Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be beneficial for both consumers and utilities. This paper proposes a hybrid optimal online followed by overnight charging coordination of high and low priority PEVs using discrete particle swarm optimization (DPSO) that considers the benefits of both consumers and electric utilities. Objective functions are online minimization of total cost (associated with grid losses and energy generation) and overnight valley filling through minimization of the total load levels. The constraints include substation transformer loading, node voltage regulations and the requested final battery state of charge levels (SOCreq). The main challenge is optimal selection of the overnight starting time (toptimal-overnight,start) to guarantee charging of all vehicle batteries to the SOCreq levels before the requested plug-out times (treq) which is done by simultaneously solving the online and overnight objective functions. The online-overnight PEV coordination approach is implemented on a 449-node SG; results are compared for uncoordinated and coordinated battery charging as well as a modified strategy using cost minimizations for both online and overnight coordination. The impact of toptimal-overnight,start on performance of the proposed PEV coordination is investigated. 2016 Journal Article http://hdl.handle.net/20.500.11937/50672 10.1016/j.jpowsour.2016.08.124 Elsevier SA restricted |
| spellingShingle | Masoum, Mohammad Sherkat Nabavi, S. Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| title | Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| title_full | Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| title_fullStr | Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| title_full_unstemmed | Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| title_short | Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| title_sort | hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid |
| url | http://hdl.handle.net/20.500.11937/50672 |