Simulation of electric vehicle driver behaviour in road transport and electric power networks. (July 2017)
- Record Type:
- Journal Article
- Title:
- Simulation of electric vehicle driver behaviour in road transport and electric power networks. (July 2017)
- Main Title:
- Simulation of electric vehicle driver behaviour in road transport and electric power networks
- Authors:
- Marmaras, Charalampos
Xydas, Erotokritos
Cipcigan, Liana - Abstract:
- Highlights: Integrated simulation-based approach to model EVs in road transport and electric power systems. Modelling of road traffic, EV battery charging and discharging in a multiagent simulation platform. Two different behavioural profiles for EV agents, representing the EV driver in different stages of EV adoption. The impact of EV driver behaviour was simulated on an example road transport and electricity grid. Abstract: The integration of electric vehicles (EVs) will affect both electricity and transport systems and research is needed on finding possible ways to make a smooth transition to the electrification of the road transport. To fully understand the EV integration consequences, the behaviour of the EV drivers and its impact on these two systems should be studied. This paper describes an integrated simulation-based approach, modelling the EV and its interactions in both road transport and electric power systems. The main components of both systems have been considered, and the EV driver behaviour was modelled using a multi-agent simulation platform. Considering a fleet of 1000 EV agents, two behavioural profiles were studied (Unaware/Aware) to model EV driver behaviour. The two behavioural profiles represent the EV driver in different stages of EV adoption starting with Unaware EV drivers when the public acceptance of EVs is limited, and developing to Aware EV drivers as the electrification of road transport is promoted in an overall context. The EV agents wereHighlights: Integrated simulation-based approach to model EVs in road transport and electric power systems. Modelling of road traffic, EV battery charging and discharging in a multiagent simulation platform. Two different behavioural profiles for EV agents, representing the EV driver in different stages of EV adoption. The impact of EV driver behaviour was simulated on an example road transport and electricity grid. Abstract: The integration of electric vehicles (EVs) will affect both electricity and transport systems and research is needed on finding possible ways to make a smooth transition to the electrification of the road transport. To fully understand the EV integration consequences, the behaviour of the EV drivers and its impact on these two systems should be studied. This paper describes an integrated simulation-based approach, modelling the EV and its interactions in both road transport and electric power systems. The main components of both systems have been considered, and the EV driver behaviour was modelled using a multi-agent simulation platform. Considering a fleet of 1000 EV agents, two behavioural profiles were studied (Unaware/Aware) to model EV driver behaviour. The two behavioural profiles represent the EV driver in different stages of EV adoption starting with Unaware EV drivers when the public acceptance of EVs is limited, and developing to Aware EV drivers as the electrification of road transport is promoted in an overall context. The EV agents were modelled to follow a realistic activity-based trip pattern, and the impact of EV driver behaviour was simulated on a road transport and electricity grid. It was found that the EV agents' behaviour has direct and indirect impact on both the road transport network and the electricity grid, affecting the traffic of the roads, the stress of the distribution network and the utilization of the charging infrastructure. … (more)
- Is Part Of:
- Transportation research. Volume 80(2017)
- Journal:
- Transportation research
- Issue:
- Volume 80(2017)
- Issue Display:
- Volume 80, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 80
- Issue:
- 2017
- Issue Sort Value:
- 2017-0080-2017-0000
- Page Start:
- 239
- Page End:
- 256
- Publication Date:
- 2017-07
- Subjects:
- Electric vehicle -- Multi-agent simulation -- Routing and charging behaviour -- Road transport network -- Electricity grid
Transportation -- Periodicals
Transportation -- Technological innovations -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0968090X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trc.2017.05.004 ↗
- Languages:
- English
- ISSNs:
- 0968-090X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274620
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 262.xml