Paul Benz - Lehrstuhl für Informatik III

Telefon	(0931) 31-85146
E-Mail	paul.benz@uni-wuerzburg.de
Raum	01.019 (Gebäude M4)
Anschrift	Lehrstuhl für Informatik III Am Hubland D-97074 Würzburg

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Forschungsschwerpunkte

Hybride Modellierung und Simulation von Mobilität und Transport
Integration von Ladeinfrastrukturen für elektrische Fahrzeuge ins Stromnetz
Optimierte Nutzung regenerativer Energien

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2024[ to top ]

Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces. Benz, Paul; Pruckner, Marco. In Proceedings of the Winter Simulation Conference, of WSC ’23, pp. 922–933. IEEE Press, <conf-loc>, <city>San Antonio</city>, <state>Texas</state>, <country>USA</country>, </conf-loc>, 2024.
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The present study investigates the extension of an existing simulation model combining system dynamics and discrete event simulation by linear optimization for an electric vehicle charging system. The existing simulation framework is extended by a smart charging strategy based on linear programming in order to exploit the flexibility of real charging processes at a workplace parking lot for a better integration of solar photovoltaic electricity generation. Therefore, different smart charging strategies are evaluated. In multiple simulation runs, the strategies are compared with immediate charging using a stationary battery energy storage system for intermediate storage of electricity generated by solar photovoltaic. Results show that smart charging strategies can achieve similarly good results with respect to the self-sufficiency rate and self-consumption rate. In the context of a 100kWp PV system the combination of optimizing charging rates and stationary battery energy storage resulted in self-sufficiency rates of more than 90\% in the simulation.

@inproceedings{10.5555/3643142.3643218, abstract = {The present study investigates the extension of an existing simulation model combining system dynamics and discrete event simulation by linear optimization for an electric vehicle charging system. The existing simulation framework is extended by a smart charging strategy based on linear programming in order to exploit the flexibility of real charging processes at a workplace parking lot for a better integration of solar photovoltaic electricity generation. Therefore, different smart charging strategies are evaluated. In multiple simulation runs, the strategies are compared with immediate charging using a stationary battery energy storage system for intermediate storage of electricity generated by solar photovoltaic. Results show that smart charging strategies can achieve similarly good results with respect to the self-sufficiency rate and self-consumption rate. In the context of a 100kWp PV system the combination of optimizing charging rates and stationary battery energy storage resulted in self-sufficiency rates of more than 90\% in the simulation.}, author = {Benz, Paul and Pruckner, Marco}, booktitle = {Proceedings of the Winter Simulation Conference}, keywords = {pruckner}, pages = {922–933}, publisher = {IEEE Press}, series = {WSC '23}, title = {Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces}, year = 2024 }

%0 Conference Paper %1 10.5555/3643142.3643218 %A Benz, Paul %A Pruckner, Marco %B Proceedings of the Winter Simulation Conference %D 2024 %I IEEE Press %P 922–933 %R 10.5555/3643142.3643218 %T Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces %U https://dl.acm.org/doi/10.5555/3643142.3643218 %X The present study investigates the extension of an existing simulation model combining system dynamics and discrete event simulation by linear optimization for an electric vehicle charging system. The existing simulation framework is extended by a smart charging strategy based on linear programming in order to exploit the flexibility of real charging processes at a workplace parking lot for a better integration of solar photovoltaic electricity generation. Therefore, different smart charging strategies are evaluated. In multiple simulation runs, the strategies are compared with immediate charging using a stationary battery energy storage system for intermediate storage of electricity generated by solar photovoltaic. Results show that smart charging strategies can achieve similarly good results with respect to the self-sufficiency rate and self-consumption rate. In the context of a 100kWp PV system the combination of optimizing charging rates and stationary battery energy storage resulted in self-sufficiency rates of more than 90\% in the simulation. %@ 9798350369663

Paul Benz M. Sc.

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