Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains

Stefan Übermasser; Matthias Stifter; Gernot Lenz; Bernhard Heilmann

doi:10.1109/ICCVE.2014.7297602

Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains

Stefan Übermasser (Speaker)
, Matthias Stifter
, Gernot Lenz
, Bernhard Heilmann

Digital Resilient Cities

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

To create realistic travel chains Markov Chains and Monte Carlo method are used. This includes different travel purposes in different locations, information about departure/arrival times and the distance driven. Individual agents are then generated which represent the EV population of a certain area. Depending on the defined charging infrastructure in the specific grid and the chosen EV model, this agent population can be calibrated for low- and medium voltage grids of different areas as there are rural or urban areas. Different charging strategies are simulated and their effect to the power grid analyzed.

Original language	English
Title of host publication	Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014)
Pages	518-519
Number of pages	2
DOIs	https://doi.org/10.1109/ICCVE.2014.7297602
Publication status	Published - 2014
Event	The 3rd International Conference on Connected Vehicles & Expo (ICCVE 2014) - Duration: 3 Nov 2014 → 7 Nov 2014

Conference

Conference	The 3rd International Conference on Connected Vehicles & Expo (ICCVE 2014)
Period	3/11/14 → 7/11/14

Research Field

Former Research Field - Energy
Former Research Field - Mobility Systems

Access to Document

10.1109/ICCVE.2014.7297602Licence: Unspecified

Cite this

Übermasser, S., Stifter, M., Lenz, G., & Heilmann, B. (2014). Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains. In Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014) (pp. 518-519) https://doi.org/10.1109/ICCVE.2014.7297602

@inproceedings{8d7709478b2a4b41b76183fd42441520,

title = "Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains",

abstract = "To create realistic travel chains Markov Chains and Monte Carlo method are used. This includes different travel purposes in different locations, information about departure/arrival times and the distance driven. Individual agents are then generated which represent the EV population of a certain area. Depending on the defined charging infrastructure in the specific grid and the chosen EV model, this agent population can be calibrated for low- and medium voltage grids of different areas as there are rural or urban areas. Different charging strategies are simulated and their effect to the power grid analyzed.",

author = "Stefan {\"U}bermasser and Matthias Stifter and Gernot Lenz and Bernhard Heilmann",

year = "2014",

doi = "10.1109/ICCVE.2014.7297602",

language = "English",

pages = "518--519",

booktitle = "Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014)",

note = "The 3rd International Conference on Connected Vehicles \& Expo (ICCVE 2014) ; Conference date: 03-11-2014 Through 07-11-2014",

}

Übermasser, S, Stifter, M, Lenz, G & Heilmann, B 2014, Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains. in Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014). pp. 518-519, The 3rd International Conference on Connected Vehicles & Expo (ICCVE 2014), 3/11/14. https://doi.org/10.1109/ICCVE.2014.7297602

Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains. / Übermasser, Stefan (Speaker); Stifter, Matthias; Lenz, Gernot et al.
Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014). 2014. p. 518-519.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains

AU - Stifter, Matthias

AU - Lenz, Gernot

AU - Heilmann, Bernhard

A2 - Übermasser, Stefan

PY - 2014

Y1 - 2014

N2 - To create realistic travel chains Markov Chains and Monte Carlo method are used. This includes different travel purposes in different locations, information about departure/arrival times and the distance driven. Individual agents are then generated which represent the EV population of a certain area. Depending on the defined charging infrastructure in the specific grid and the chosen EV model, this agent population can be calibrated for low- and medium voltage grids of different areas as there are rural or urban areas. Different charging strategies are simulated and their effect to the power grid analyzed.

AB - To create realistic travel chains Markov Chains and Monte Carlo method are used. This includes different travel purposes in different locations, information about departure/arrival times and the distance driven. Individual agents are then generated which represent the EV population of a certain area. Depending on the defined charging infrastructure in the specific grid and the chosen EV model, this agent population can be calibrated for low- and medium voltage grids of different areas as there are rural or urban areas. Different charging strategies are simulated and their effect to the power grid analyzed.

U2 - 10.1109/ICCVE.2014.7297602

DO - 10.1109/ICCVE.2014.7297602

M3 - Conference Proceedings with Oral Presentation

SP - 518

EP - 519

BT - Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014)

T2 - The 3rd International Conference on Connected Vehicles & Expo (ICCVE 2014)

Y2 - 3 November 2014 through 7 November 2014

ER -

Übermasser S, Stifter M, Lenz G, Heilmann B. Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains. In Proceedings 2014 International Conference on Connected Vehicles and Expo (ICCVE 2014). 2014. p. 518-519 doi: 10.1109/ICCVE.2014.7297602

Linking Statistical Mobility Data with Electrical Distribution Network Infrastructure for Generating an Agent Population for Multi-Agent Simulation of Electric Vehicles with Markov Chains

Abstract

Conference

Research Field

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