Journal article
Predicting voltage unbalance impacts of Plug-in electric vehicles penetration in residential Low-voltage distribution networks
Electric Power Components and Systems, Vol.41(16), pp.1594-1616
2013
Abstract
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.
Details
- Title
- Predicting voltage unbalance impacts of Plug-in electric vehicles penetration in residential Low-voltage distribution networks
- Authors/Creators
- F. Shahnia (Author/Creator) - Curtin UniversityA. Ghosh (Author/Creator) - Queensland University of TechnologyG. Ledwich (Author/Creator) - Queensland University of TechnologyF. Zare (Author/Creator) - Danfoss (China)
- Publication Details
- Electric Power Components and Systems, Vol.41(16), pp.1594-1616
- Publisher
- Taylor & Francis
- Identifiers
- 991005543072907891
- Copyright
- © 2013 Taylor & Francis Group, LLC
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.788 Electric Vehicles
- Web Of Science research areas
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering