Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation
New smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in popularity as a low emission and efficient mode of transport against petroleum-based vehicles. PEV chargers represent sizeable an...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
The Institution of Engineering and Technology
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/32195 |
| _version_ | 1848753593950142464 |
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| author | Masoum, A. Deilami, Sara Moses, Paul Masoum, Mohammad Sherkat Abu-Siada, Ahmed |
| author_facet | Masoum, A. Deilami, Sara Moses, Paul Masoum, Mohammad Sherkat Abu-Siada, Ahmed |
| author_sort | Masoum, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | New smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in popularity as a low emission and efficient mode of transport against petroleum-based vehicles. PEV chargers represent sizeable and unpredictable loads, which can detrimentally impact the performance of distribution grids. Utilities are concerned about the potential overloads, stresses, voltage deviations and power losses that may occur in distribution systems from domestic PEV charging activity as well as from newly emerging charging stations. Therefore this study proposes a new SLM control strategy for coordinating PEV charging based on peak demand shaving, improving voltage profile and minimising power losses. Furthermore, the developed SLM approach takes into consideration the PEV owner preferred charging time zones based on a priority selection scheme. The impact of PEV charging stations and typical daily residential loading patterns are also considered. Simulation results are presented to demonstrate the significant performance improvement offered by SLM for a 1200 node test system topology consisting of several low-voltage residential networks populated with PEVs. |
| first_indexed | 2025-11-14T08:26:59Z |
| format | Journal Article |
| id | curtin-20.500.11937-32195 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:26:59Z |
| publishDate | 2011 |
| publisher | The Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-321952017-09-13T15:16:05Z Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation Masoum, A. Deilami, Sara Moses, Paul Masoum, Mohammad Sherkat Abu-Siada, Ahmed New smart load management (SLM) approach for the coordination of multiple plug-in electric vehicle (PEV) chargers in distribution feeders is proposed. PEVs are growing in popularity as a low emission and efficient mode of transport against petroleum-based vehicles. PEV chargers represent sizeable and unpredictable loads, which can detrimentally impact the performance of distribution grids. Utilities are concerned about the potential overloads, stresses, voltage deviations and power losses that may occur in distribution systems from domestic PEV charging activity as well as from newly emerging charging stations. Therefore this study proposes a new SLM control strategy for coordinating PEV charging based on peak demand shaving, improving voltage profile and minimising power losses. Furthermore, the developed SLM approach takes into consideration the PEV owner preferred charging time zones based on a priority selection scheme. The impact of PEV charging stations and typical daily residential loading patterns are also considered. Simulation results are presented to demonstrate the significant performance improvement offered by SLM for a 1200 node test system topology consisting of several low-voltage residential networks populated with PEVs. 2011 Journal Article http://hdl.handle.net/20.500.11937/32195 10.1049/iet-gtd.2010.0574 The Institution of Engineering and Technology restricted |
| spellingShingle | Masoum, A. Deilami, Sara Moses, Paul Masoum, Mohammad Sherkat Abu-Siada, Ahmed Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation |
| title | Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation |
| title_full | Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation |
| title_fullStr | Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation |
| title_full_unstemmed | Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation |
| title_short | Smart Load Management of Plug-in Electric Vehicles in Distribution and Residential Networks with Charging Stations for Peak Shaving and Loss Minimisation Considering Voltage Regulation |
| title_sort | smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation |
| url | http://hdl.handle.net/20.500.11937/32195 |