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Volker Turau

Foto von Volker Turau
Prof. Dr. rer. nat. Volker Turau
Raum 4.088, Gebäude E
Am Schwarzenberg-Campus 3
21073 Hamburg
Telefon040 42878 - 3530
Fax040 42878 - 2581
E-Mail

Seit Oktober 2002 bin ich Professor an der Technischen Universität Hamburg-Harburg.


Program Committee Activities | Editorial Activities | CV | Doktoranden

Bücher

Algorithmische Graphentheorie - 4., erweiterte und überarbeitete Auflage
De Gruyter Studium, 2015, ISBN 978-3-110-41727-2 (Lösungen)

Erdős-Zahl

Meine Erdős-Zahl ist 4.

Lehre

Publikationen

Tobias Lübkert, Marcus Venzke und Volker Turau. Impacts of Domestic Electric Water Heater Parameters on Demand Response. In Proceedings of the 5th D-A-CH+ Energy Informatics Conference 2016, September 2016. Klagenfurt, Austria. To be published.
@InProceedings{Telematik_D-A-CH_DemandResponse_2016, author = {Tobias Lübkert and Marcus Venzke and Volker Turau}, title = {Impacts of Domestic Electric Water Heater Parameters on Demand Response}, booktitle = {Proceedings of the 5th D-A-CH+ Energy Informatics Conference 2016}, pages = , day = {29-30}, month = sep, year = 2016, location = {Klagenfurt, Austria}, }
Abstract: This paper analyzes the impact of the high dimen- sional parameter space of domestic electric water heaters (DEWH) for demand response (DR). To quantify the con- sumer comfort a novel metric is introduced considering a stochastic distribution of different water draw events. Incor- porating three control algorithms from literature, it is shown that all considered parameters of a DEWH except the heat conductivity have a significant impact on consumer satisfac- tion. The effect on DR is mainly influenced by the temper- ature range and the planning horizon, but also by the heat conductivity and the volume. In contrast, the rated power of the heating element and the nominal temperature have no significant impact on the effect on DR. The impacts are an- alyzed by varying these parameters in a simulation of 1000 DEWHs considering three different controllers: a common thermostat, an exchange price dependent nominal temper- ature changing mechanism and an energy scheduling algo- rithm proposed by Du and Lu.
Stefan Lohs, Gerry Siegemund, Jörg Nolte und Volker Turau. Self-Stabilization - A Mechanism to Make Networked Embedded Systems Mote Reliable?. In Proceedings of 35th Symposium on Reliable Distributed Systems (SRDS), September 2016. Budapest, Hungary. To be published.
@InProceedings{Telematik_SRDS_2016, author = {Stefan Lohs and Gerry Siegemund and Jörg Nolte and Volker Turau}, title = {Self-Stabilization - A Mechanism to Make Networked Embedded Systems Mote Reliable?}, booktitle = {Proceedings of 35th Symposium on Reliable Distributed Systems (SRDS)}, pages = , day = {26-29}, month = sep, year = 2016, location = {Budapest, Hungary}, }
Volker Turau und Christoph Weyer. Cascading Failures Caused by Node Overloading in Complex Networks. In Proceedings of the Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids, April 2016. Vienna, Austria. To be published.
@InProceedings{Telematik_CPSR-SG2016_SmartGrid, author = {Volker Turau and Christoph Weyer}, title = {Cascading Failures Caused by Node Overloading in Complex Networks}, booktitle = {Proceedings of the Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids}, pages = , day = {12}, month = apr, year = 2016, location = {Vienna, Austria}, }
Abstract: It is well known that complex networks are vulnerable to the failure of hubs in terms of structural robustness. An as yet less researched topic is dynamical robustness, which refers to the ability of a network to maintain its dynamical activity against local disturbances. This paper analyzes the impact of overload attacks in complex networks and gives a precise definition of this type of attack using the load redistribution model. The main contribution is a greedy algorithm to select a small number of candidates for an overload attack maximizing the impact with respect to the number of failed nodes and load increase. The quality of the algorithm is analyzed for a real power grid network.

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