Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks
Plug-in electric vehicles will soon be connected to residential distribution networks in high quantities and will add to already overburdened residential feeders. However, as battery technology improves, plug-in electric vehicles will also be able to support networks as small distributed generation...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Taylor & Francis Inc.
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/31622 |
| _version_ | 1848753432800788480 |
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| author | Shahnia, Farhad Ghosh, Arindam Ledwich, G. Zare, F. |
| author_facet | Shahnia, Farhad Ghosh, Arindam Ledwich, G. Zare, F. |
| author_sort | Shahnia, Farhad |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Plug-in electric vehicles will soon be connected to residential distribution networks in high quantities and will add to already overburdened residential feeders. However, as battery technology improves, plug-in electric vehicles will also be able to support networks as small distributed generation units by transferring the energy stored in their battery into the grid. Even though the increase in the plug-in electric vehicle connection is gradual, their connection points and charging/discharging levels are random. Therefore, such single-phase bidirectional power flows can have an adverse effect on the voltage unbalance of a three-phase distribution network. In this article, a voltage unbalance sensitivity analysis based on charging/discharging levels and the connection point of plug-in electric vehicles in a residential low-voltage distribution network is presented. Due to the many uncertainties in plug-in electric vehicle ratings and connection points and the network load, a Monte Carlo-based stochastic analysis is developed to predict voltage unbalance in the network in the presence of plug-in electric vehicles. A failure index is introduced to demonstrate the probability of non-standard voltage unbalance in the network due to plug-in electric vehicles. |
| first_indexed | 2025-11-14T08:24:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-31622 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:24:26Z |
| publishDate | 2013 |
| publisher | Taylor & Francis Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-316222018-01-22T07:14:20Z Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks Shahnia, Farhad Ghosh, Arindam Ledwich, G. Zare, F. voltage unbalance plug-in electric vehicle sensitivity analysis distribution network stochastic analysis Plug-in electric vehicles will soon be connected to residential distribution networks in high quantities and will add to already overburdened residential feeders. However, as battery technology improves, plug-in electric vehicles will also be able to support networks as small distributed generation units by transferring the energy stored in their battery into the grid. Even though the increase in the plug-in electric vehicle connection is gradual, their connection points and charging/discharging levels are random. Therefore, such single-phase bidirectional power flows can have an adverse effect on the voltage unbalance of a three-phase distribution network. In this article, a voltage unbalance sensitivity analysis based on charging/discharging levels and the connection point of plug-in electric vehicles in a residential low-voltage distribution network is presented. Due to the many uncertainties in plug-in electric vehicle ratings and connection points and the network load, a Monte Carlo-based stochastic analysis is developed to predict voltage unbalance in the network in the presence of plug-in electric vehicles. A failure index is introduced to demonstrate the probability of non-standard voltage unbalance in the network due to plug-in electric vehicles. 2013 Journal Article http://hdl.handle.net/20.500.11937/31622 10.1080/15325008.2013.834004 Taylor & Francis Inc. fulltext |
| spellingShingle | voltage unbalance plug-in electric vehicle sensitivity analysis distribution network stochastic analysis Shahnia, Farhad Ghosh, Arindam Ledwich, G. Zare, F. Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks |
| title | Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks |
| title_full | Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks |
| title_fullStr | Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks |
| title_full_unstemmed | Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks |
| title_short | Predicting Voltage Unbalance Impacts of Plug-in Electric Vehicles Penetration in Residential Low-voltage Distribution Networks |
| title_sort | predicting voltage unbalance impacts of plug-in electric vehicles penetration in residential low-voltage distribution networks |
| topic | voltage unbalance plug-in electric vehicle sensitivity analysis distribution network stochastic analysis |
| url | http://hdl.handle.net/20.500.11937/31622 |