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  4. Evaluation of interactions between multiple grid operators based on sparse grid knowledge in context of a smart grid co-simulation environment
 
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2015
Conference Paper
Title

Evaluation of interactions between multiple grid operators based on sparse grid knowledge in context of a smart grid co-simulation environment

Abstract
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.
Author(s)
Vogt, Mike  
Fraunhofer-Institut für Windenergiesysteme IWES  
Marten, Frank
Fraunhofer-Institut für Windenergiesysteme IWES  
Löwer, Lothar  
Fraunhofer-Institut für Windenergiesysteme IWES  
Brauns, Katharina  
Fraunhofer-Institut für Windenergiesysteme IWES  
Fetzer, Dirk
Menke, Jan-Hendrik
Troncia, Matteo
Hegemann, Jan
Töbermann, Christian
Fraunhofer-Institut für Windenergiesysteme IWES  
Braun, Martin  
Fraunhofer-Institut für Windenergiesysteme IWES  
Horst, Daniel  
Fraunhofer-Institut für Windenergiesysteme IWES  
Mainwork
IEEE PowerTech Eindhoven 2015  
Conference
PowerTech Conference 2015  
DOI
10.1109/PTC.2015.7232781
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
Keyword(s)
  • co-simulation

  • time domain analysis

  • smart grids

  • voltage control

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