Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems
Plug-in electric vehicles (PEVs) and wind distributed generations (WDGs) will represent key technologies in the future smart grid configurations. PEV charging at high penetration levels requires substantial grid energy that can be partially supplied by WDGs. This paper examines the impacts of WDGs o...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/31415 |
| _version_ | 1848753374585946112 |
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| author | Masoum, A. Deilami, Sara Masoum, Mohammad Sherkat Abu-Siada, Ahmed Islam, Syed |
| author2 | IEEE PES Executive Office |
| author_facet | IEEE PES Executive Office Masoum, A. Deilami, Sara Masoum, Mohammad Sherkat Abu-Siada, Ahmed Islam, Syed |
| author_sort | Masoum, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Plug-in electric vehicles (PEVs) and wind distributed generations (WDGs) will represent key technologies in the future smart grid configurations. PEV charging at high penetration levels requires substantial grid energy that can be partially supplied by WDGs. This paper examines the impacts of WDGs on performance of recently implemented online maximum sensitivities selection based coordination algorithm (OL-MSSCA) for PEV charging. The algorithm considers random arrivals of vehicles and time-varying market energy price to reduce the total cost of energy generation for PEV charging and the associated grid losses while providing consumer priorities based on defined charging time zones. OL-MSSCA will be improved to also consider DGs while maintaining network operation criteria such as maximum generation limits and voltage profiles within their permissible limits. Detailed simulation is performed on the modified IEEE 23kV distribution system with three WDGs and 22 low voltage residential networks populated with PEVs. The main contributions of this paper are inclusion of WDGs in OL-MSSCA, as well as detailed investigations on the impacts of their peak generation times, penetrations and locations on the performance of smart grid populated with PEVs. |
| first_indexed | 2025-11-14T08:23:30Z |
| format | Conference Paper |
| id | curtin-20.500.11937-31415 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:23:30Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-314152017-09-13T15:52:51Z Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems Masoum, A. Deilami, Sara Masoum, Mohammad Sherkat Abu-Siada, Ahmed Islam, Syed IEEE PES Executive Office coordinated charging wind generation PEV DG Plug-in electric vehicles (PEVs) and wind distributed generations (WDGs) will represent key technologies in the future smart grid configurations. PEV charging at high penetration levels requires substantial grid energy that can be partially supplied by WDGs. This paper examines the impacts of WDGs on performance of recently implemented online maximum sensitivities selection based coordination algorithm (OL-MSSCA) for PEV charging. The algorithm considers random arrivals of vehicles and time-varying market energy price to reduce the total cost of energy generation for PEV charging and the associated grid losses while providing consumer priorities based on defined charging time zones. OL-MSSCA will be improved to also consider DGs while maintaining network operation criteria such as maximum generation limits and voltage profiles within their permissible limits. Detailed simulation is performed on the modified IEEE 23kV distribution system with three WDGs and 22 low voltage residential networks populated with PEVs. The main contributions of this paper are inclusion of WDGs in OL-MSSCA, as well as detailed investigations on the impacts of their peak generation times, penetrations and locations on the performance of smart grid populated with PEVs. 2014 Conference Paper http://hdl.handle.net/20.500.11937/31415 10.1109/PESGM.2014.6939133 IEEE restricted |
| spellingShingle | coordinated charging wind generation PEV DG Masoum, A. Deilami, Sara Masoum, Mohammad Sherkat Abu-Siada, Ahmed Islam, Syed Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems |
| title | Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems |
| title_full | Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems |
| title_fullStr | Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems |
| title_full_unstemmed | Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems |
| title_short | Online Coordination of Plug-In Electric Vehicle Charging in Smart Grid with Distributed Wind Power Generation Systems |
| title_sort | online coordination of plug-in electric vehicle charging in smart grid with distributed wind power generation systems |
| topic | coordinated charging wind generation PEV DG |
| url | http://hdl.handle.net/20.500.11937/31415 |