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C/sells - das Energiesystem der Zukunft im Solarbogen Süddeutschlands

( 2021)
Reuter, Albrecht
;
Langniß, Ole
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Haller, Birgit
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Spengler, Nicolas
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Bär, Christian
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Bekk, Anke
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Dreher, Alexander
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Dütschke, Elisabeth
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Gölz, Sebastian
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Habbishaw, Katharina
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Hoppe, Jens
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Klausmann, Florian
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Klobasa, Marian
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Kohrs, Robert
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Kühnbach, Matthias
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Liebehentze, Sven
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Lutz, Alexander
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Marten, Frank
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Müller, Tobias
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Nestle, David
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Pelka, Sabine
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Schütt, Jonathan
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Stute, Judith
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Wesche, Julius
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Wiemer, Martin
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Wittwer, Christof
;
et al.
Demonstrations of future TSO-DSO data exchanges with ECCo SP in the EU-project 'TDX-ASSIST'

( 2020)
Marten, Frank
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Hammermeister, Irene
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Suljanovic, Nermin
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Souvent, Andrej
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Petrovic, Nejc
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Stopar, Rok
;
Lambert, Eric
;
Braun, Martin

Communication tools and techniques between transmission grid operator (TSO) and distribution grid operator (DSO) must be able to deal with increasingly larger volumes of information and these tools should be based on existing smart grid ICT standards. In the EU-project TDX-ASSIST, an international consortium of grid operators and researchers is working on the design and development of new ICT tools which meet these future challenges. This paper describes findings from two of the project's demonstration sites. Some demonstrations employ a communication and connectivity service platform (ECCo SP) which enables the use of flexibility platforms. Others employ co-simulations to emulate data exchanges between TSO, DSO and the grid. In the further course of TDX-ASSIST, the demonstration results will be used to establish feedback to standardisation bodies such as IEC, CEN/CENELEC/ETSI CG-SEG and working groups focused on TSO-DSO information exchange.
A survey and statistical analysis of smart grid co-simulations

( 2018)
Vogt, Mike
;
Marten, Frank
;
Braun, Martin

Smart Grids consist of multiple actors and physical phenomena, which are often difficult to capture in one single simulation framework. Therefore, researchers increasingly couple distinct simulators to form novel ""co-simulations"". In this paper we present a literature survey of 26 smart grid co-simulation frameworks. First of all, we present our understanding of a co-simulation. We then classify the 26 frameworks on multiple characteristics, such as simulation tools, synchronization methods and research topics. Finally, we present correlations between different key characteristics, analyze possible research gaps and discuss possible trends and future development areas in the field of smart grid co-simulations.
OpSimEval - Ziele, Ergebnisse, Status & nächste Schritte

( 2016)
Marten, Frank
;
Braun, M.

OpSimEval ermöglicht eine flexible beschleunigte Jahressimulation komplexer Energiesysteme. Diese wird im zweiten Schritt mit einer Netzausbau-Optimierung kombiniert. Das Vorhaben wird durch einen Industrie-Arbeitskreis mit aktuell 15 Partnern begleitet.
Testing an IEC61850 compliant voltage control algorithm, using a real-time simulation

( 2016)
Marten, Frank
;
Wende-von Berg, Sebastian
Echtzeit Simulationsplattform OpSim

( 2015)
Marten, Frank
;
Vogt, Mike
;
Widdel, Martin
;
Töbermann, J.-Christian
;
Nigge-Uricher, Mark
;
Meinl, Andreas

In dem Forschungsprojekt ""OpSim"" entwickeln die Projektpartner Fraunhofer IWES und Universität Kassel eine Echtzeit Test- und Simulationsumgebung für Netzbetriebsführungen und Aggregatoren dezentraler Anlagen. In diesem Beitrag wird diese Umgebung vorgestellt und ein erster Einsatz beschrieben: das virtuelle Kraftwerk (VK) von Bosch Software Innovations wird mit einer simulierten Erzeugungsanlage in der OpSim-Umgebung verbunden. Die Verbindung wird über die standardisierte Schnittstelle VHPready realisiert. Nach außen verhält sich die Simulation wie eine reale Erzeugungsanlage. Ergebnisse und ""Lessons-learned"" aus den ersten Tests werden hier beschrieben, so wie nächste Schritte und Erweiterungen von OpSim als Testumgebung für VK-Software und Netzbetriebsführungsverfahren.
Evaluation of interactions between multiple grid operators based on sparse grid knowledge in context of a smart grid co-simulation environment

( 2015)
Vogt, Mike
;
Marten, Frank
;
Löwer, Lothar
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Brauns, Katharina
;
Fetzer, Dirk
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Menke, Jan-Hendrik
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Troncia, Matteo
;
Hegemann, Jan
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Töbermann, Christian
;
Braun, Martin
;
Horst, Daniel

This paper presents a co-simulation environment fortesting different operation, control and aggregation strategies ona power network model with multiple voltage levels. Inparticular this environment, called "OpSim", is used toinvestigate the question of how multiple grid operators -controlling different voltage levels and I or grid areas - couldinteract in a future grid scenario with a high amount ofrenewable energy resources. First the architecture of "OpSim"is presented, which uses a message bus to connect andsynchronize multiple simulators, representing the grid, as wellas grid operators strategies. Second, a proof-of-concept isdemonstrated in which an interaction between multiple gridoperators is investigated. The message rate between simulationcomponents is evaluated and results indicate that a stablesimulation operation is possible. Finally, the furtherdevelopment stages of "OpSim" are explained, as well as a firstapplication with industrial partners.
Real-time simulation of distributed generators, for testing a virtual power plant software

( 2015)
Marten, Frank
;
Vogt, Mike
;
Widdel, Martin
;
Wickert, Manuel
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Meinl, Andreas
;
Nigge-Uricher, Mark
;
Töbermann, J.-Christian
Test der Software eines virtuellen Kraftwerks durch Echtzeit-Simulation

( 2015)
Marten, Frank
;
Vogt, Mike
;
Widdel, Martin
;
Nigge-Uricher, Mark
;
Meinl, Andreas
;
Töbermann, J.-Christian
Evaluation of modeling and simulation complexity on studying the impacts of electrical vehicles fleets in distribution systems

( 2014)
Ma, Chenjie
;
Marten, Frank
;
Töbermann, J.-Christian
;
Braun, Martin

Evaluations of possible grid impacts from electric vehicles have been published extensively during the past years. Different parameters and assumptions of simulation models are used in these studies. In this work it is investigated if the evaluations of grid impacts can be affected by simulation parameters and modeling complexity. Possible consequences from varying simulation parameters are analyzed at a worst case scenario and randomly generated charging scenarios. For evaluation of minimal voltages or grid losses, smaller time steps and more sophisticated models lead to more precise results. These findings will be used in upcoming works on real time simulator design, for defining study scenarios and choosing proper simulation models.

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