Abstract
Electric vehicle (EV) market penetration is expected to increase in the next few years. Transport electrification will affect both the road transport and the electric power network, as EV charging will be influenced by events that take place on the road network (such as congestion, weather, etc.) which subsequently have an impact on the potential load imposed on an electricity grid (based on where EV charging takes place). An EV is therefore seen as a link between transport and energy systems, and their interdependencies are important. In this chapter an EV is modeled as an autonomous agent with a set of predefined high-level goals (such as traveling from origin to destination). Algorithms for the routing and charging procedures of EVs are presented. A multi-agent simulation is carried out, based on a number of scenarios, which demonstrates interactions between transport and energy systems, showing how an EV agent is able to adapt its behavior based on changes within each of these systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Papadopoulos, P., Skarvelis-Kazakos, S., Grau, I., Cipcigan, L.M., Jenkins, N.: Electric vehicles’ impact on British distribution networks. IET Electr. Syst. Transp. 2, 91–102 (2012)
Wang, Y., Guo, Q., Sun, H., Li, Z.: An investigation into the impacts of the crucial factors on EVs charging load. In: IEEE/PES Innovative Smart Grid Technologies Conference Asia (ISGT-Asia), Tianjin (2012)
Karfopoulos, E., Hatziargyriou, N.: A multi-agent system for controlled charging of a large population of electric vehicles. IEEE Trans. Power Syst. 28(2), 1196–1204 (2013)
Papadopoulos, P., Jenkins, N., Cipcigan, L.M., Grau, I., Zabala, E.: Coordination of the charging of electric vehicles using a multi-agent system. IEEE Trans. Smart Grid 4(4), 1802–1809 (2013)
Acha, S., van Dam, K.H., Shah, N.: Modeling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks. In: IEEE Power and Energy Society General Meeting, San Diego (2012)
Galus, M.D., Waraich, R.A., Noembrini, F., Steurs, K., Georges, G., Boulouchos, K., Axhausen, K.W., Andersson, G.: Integrating power systems, transport systems and vehicle technology for electric mobility impact assessment and efficient control. IEEE Trans. Smart Grid 3(2), 934–949 (2013)
Gilbert, N.: Agent-Based Models. Quantitative Applications in the Social Sciences, vol. 153. Sage, London (2007)
Klügl, F., Bazzan, A.L.C.: Agent-based modeling and simulation. AI Mag. 33(3), 29–40 (2012)
Bazzan, A.L.C., Klügl, F.: A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. 29, 375–403 (2013)
Klügl, F., Herrler, R., Fehler, M.: Sesam: implementation of agent based simulation using visual programming. In: AAMAS, pp. 1439–1440. ACM, New York (2006)
Department for Transport [Online]. http://www.dft.gov.uk/. Accessed 14 June 2014
Ingram, S., Probert, S., Jackson, K., The impact of small scale embedded generators in the operating parameters of distribution networks. In: DTI (2003)
Karfopoulos, E., Marmaras, C., Hatziargyriou, N.: Charging control model for EV supplier aggregator. In: IEEE/PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Berlin (2012)
Rivier, M., Gomez, T., Cosset, R., Momber, I., Downing, N., Bower, E., Miller, P., Hartmann, N., Fengler, S., Joyce, C., Guerra, B.D., Lioliou, V.: New actors and business models for the integration of EV in Power Systems. In: MERGE Deliverable D5.1 (2011)
Xydas, E., Marmaras, C., Cipcigan, L.M., Hassan, A.S., Jenkins, N.: Electric vehicle load forecasting using data mining methods. In: 4th Hybrid and Electric Vehicle IET Conference, London (2013)
Xydas, E., Marmaras, C., Cipcigan, L.M., Hassan, A.S., Jenkins, N.: Forecasting electric vehicles charging demand using support vector machines. In: UPEC, Dublin (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Marmaras, C., Xydas, E., Cipcigan, L.M., Rana, O., Klügl, F. (2016). Electric Vehicles in Road Transport and Electric Power Networks. In: McCluskey, T., Kotsialos, A., Müller, J., Klügl, F., Rana, O., Schumann, R. (eds) Autonomic Road Transport Support Systems. Autonomic Systems. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-25808-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-25808-9_14
Published:
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-25806-5
Online ISBN: 978-3-319-25808-9
eBook Packages: Computer ScienceComputer Science (R0)