Dynamic simulation of power system interaction with large electric vehicle fleet activities

Stifter, Matthias; Übermasser, Stefan

doi:10.1109/ptc.2013.6652309

Cited by 12 publications

(6 citation statements)

References 13 publications

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“…In [41,42], the usage of renewable energy sources with electric vehicles is described. Further research results and models are displayed in [43][44][45].…”

Section: Sub-models: Fleet- Energy- and Chargingmanagement Systemmentioning

confidence: 99%

Approach for the development of a method for the integration of battery electric vehicles in commercial companies, including intelligent management systems

Betz

Lienkamp

2016

Automot. Engine Technol.

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Current analyses of electric mobility reveal that the electrification of the powertrain of vehicles will change the entire automotive value chain. This paper presents the approach for the development of a method for the evaluation of an economically and ecologically rewarding integration of electric vehicles in commercial companies. First, this method focuses on the analysis of the driving behavior of a commercial vehicle fleet and the energy flow (consumption and production) in a company. Second, it is the goal to evaluate the potential of integrating battery electric vehicles in a commercial company using a new developed fleet-management system in combination with an energy-and chargingmanagement system. The potential of integration will be depicted by the number of battery electric vehicles that can be integrated, the reduction of the total costs of ownership, and the reduction of the produced CO 2 emissions.

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“…In [41,42], the usage of renewable energy sources with electric vehicles is described. Further research results and models are displayed in [43][44][45].…”

Section: Sub-models: Fleet- Energy- and Chargingmanagement Systemmentioning

confidence: 99%

Approach for the development of a method for the integration of battery electric vehicles in commercial companies, including intelligent management systems

Betz

Lienkamp

2016

Automot. Engine Technol.

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“…Based on the level of abstraction a simulated charging station can either represent a single station of a family house or a complete parking place with more than 100 charging points. For compatibility with other simulation tools for electric mobility the configuration and the profiles can be imported from the available software EVSim [11].…”

Section: A Componentsmentioning

confidence: 99%

Extensible co-simulation framework for electric vehicle charging infrastructure testing

Faschang

Nohrer

Stöckl

et al. 2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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With more and more manufacturers positioning their electric vehicles on the market, the necessity for ensuring European-wide interoperability of charging infrastructure and electric vehicles becomes eminent. While standards are in place to guarantee compatibility, testing of function-level interoperability is still an open issue. Besides already widely performed testing of single charging stations, the evaluation of a heterogeneous compounds of charging infrastructure and thereby caused mutual influence is highly relevant. To allow for such challenging, big scale evaluation that also involves real charging infrastructure, co-simulation with hardware integration is the way to go. This paper deals with an appropriate architecture and set-up of such a co-simulation framework that can be used to generate test vectors on communication and power interfaces to test charging stations and electric vehicle charging interfaces. The effectiveness of the tool-set is validated with a case study demonstrating a distributed charging management algorithm operating on charging stations connected via the Open Charge Point Protocol (OCPP).

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“…The discharging during driving and the process states of connection, authentication, charging and disconnection with the charging points with various plug types is modeled. A detailed description of the dynamic simulation capabilities can be found in [4].…”

Section: B Evsimmentioning

confidence: 99%

“…In a second step the software tool EVSim [4] was used to simulate and determine the energy demand based on specified rips. It models the discharging process while driving and the process of connecting, authenticating, charging and disconnecting at charging points with various vehicle and plug types.…”

mentioning

confidence: 99%

Dynamic Co-simulation of agent-based controlled charging electric vehicles and their impacts on low-voltage networks

Castro

Übermasser

Henein

et al. 2013

2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)

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During the last decades the electric vehicles (EVs) technologies are developing rapidly which may lead to a significant penetration level in the mobility market in the near future. As a consequence of these high penetration levels, power grids, especially on the low voltage level, might face a number of technical problems. These can be transformer and cables overloads, feeder congestions and especially voltage limits violations. Renewables may introduce a solution for part of these problems but not all of them. In order to minimize peak loads caused by charging EVs, intelligent control algorithms for EV charging are needed. This paper focuses on a dynamic cosimulation environment which enables the realistic evaluation of the impact of charging EVs on electrical networks. This cosimulation environment also simulates the behavior of the EV's and estimates the required charging power. In order to test the co-simulation environment a study case is analyzed for a rural residential network with a high penetration of photovoltaic systems.

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Dynamic simulation of power system interaction with large electric vehicle fleet activities

Cited by 12 publications

References 13 publications

Approach for the development of a method for the integration of battery electric vehicles in commercial companies, including intelligent management systems

Approach for the development of a method for the integration of battery electric vehicles in commercial companies, including intelligent management systems

Extensible co-simulation framework for electric vehicle charging infrastructure testing

Dynamic Co-simulation of agent-based controlled charging electric vehicles and their impacts on low-voltage networks

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