DocumentCode :
2059249
Title :
Model-based integration technology for next generation electric grid simulations
Author :
Sztipanovits, J. ; Hemingway, G. ; Bose, A. ; Srivastava, A.
Author_Institution :
Inst. for Software Integrated Syst. (ISIS), Vanderbilt Univ., Nashville, TN, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
Simulation-based evaluation of the behavior of the electric grid is complex, as it involves multiple, heterogeneous, interacting cyber-physical system like domains. Each simulation domain has sophisticated tools, but their integration into a coherent framework is a very difficult, time-consuming, laborintensive, and error-prone task. This means that computational studies cannot be done rapidly and the process does not provide timely answers to the planners, operators and policy makers. Furthermore, grid behavior has to be tested against a number of scenarios and situations, meaning that a huge number of simulations must be executed covering the potential space of possibilities. Designing and efficiently deploying such computational experiments by utilizing multi-domain tools for integrated smart grid is a major challenge. This paper addresses these important issues by integrating multiple modeling tools from diverse domains in a single coherent framework for integrated simulation of smart grids.
Keywords :
power system planning; power system simulation; smart power grids; cyber-physical system; grid behavior; integrated simulation; integrated smart grid; model based integration technology; modeling tools; multidomain tools; next generation electric grid simulations; simulation based evaluation; Computational modeling; Mathematical model; Power system dynamics; Real-time systems; Smart grids; Smart grid modeling and simulation; cyber-physical system; model based integration; multi-domain tool; testing and validation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345323
Filename :
6345323
Link To Document :
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