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Vehicle to grid communication: Monte carlo simulations based on automated meter reading reliability
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-9860-4472
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-2017-7914
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
2011 (English)In: 17th Power Systems Computation Conference, 2011Conference paper, Published paper (Refereed)
Abstract [en]

Previous work has shown that it could be profitableon some control markets to use Plug-in Hybrid ElectricVehicles (PHEV) as control power resources. This concept,where battery driven vehicles such as PHEVs provide ancillaryservice to the grid is commonly referred to as Vehicleto Grid (V2G). The idea is to sell the capacity and energy ofthe parked PHEVs on the control market. Due to the factthat cars on average are parked 92% of the day, the availabilityof this capacity could be very high, even though it willbe highly dependent on commuting patterns in peak hours.Further, as each PHEV has a very small capacity from a gridperspective, it is necessary to implement an aggregating controlsystem, managing a large number of vehicles. This paperpresents a Monte Carlo simulation model where technical issuessuch as the reliability in communication for a large fleetof PHEVs is included. The communication in the simulationmodel is based on data from Automated Meter Reading(AMR) systems, which share important charachteristics withV2G communications. Moreover, the simulation is based onavailable data on the distributions of commuting departuretimes and travel distances, as well as average driving powerconsumption, PHEV battery capacities and the market constraintsof the secondary control market in Germany.

Place, publisher, year, edition, pages
2011.
Keyword [en]
Vehicle to Grid, Aggregator, Control Market, Monte Carlo simulations, Communication, Automated Meter Reading data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-81011Scopus ID: 2-s2.0-84943776945OAI: oai:DiVA.org:kth-81011DiVA: diva2:496969
Conference
17th Power Systems Computation Conference, Stockholm Sweden, August 22-26, 2011
Funder
StandUp
Note

QC 20120330

Available from: 2012-02-10 Created: 2012-02-10 Last updated: 2016-04-27Bibliographically approved

Open Access in DiVA

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Scopushttp://www.pscc-central.org/uploads/tx_ethpublications/fp453.pdf

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Sandels, ClaesFranke, UlrikNordström, Lars

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  • apa
  • harvard1
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Output format
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