DocumentCode :
1830746
Title :
Simulation-based validation for smart grid environments
Author :
Wonkyu Han ; Mabey, Mike ; Gail-Joon Ahn
Author_Institution :
Lab. of Security Eng. for Future Comput. (SEFCOM), Arizona State Univ., Tempe, AZ, USA
fYear :
2013
fDate :
14-16 Aug. 2013
Firstpage :
14
Lastpage :
21
Abstract :
Large and complex systems, such as the Smart Grid, are often best understood through the use of modeling and simulation. In particular, the task of assessing a complex system´s risks and testing its tolerance and recovery under various attacks has received considerable attention. However, such tedious tasks still demand a systematic approach to model and evaluate each component in complex systems. In other words, supporting a formal validation and verification without needing to implement the entire system or accessing the existing physical infrastructure is critical since many elements of the Smart Grid are still in the process of becoming standardized for widespread use. In this paper, we describe our simulation-based approach to understanding and examining the behavior of various components of the Smart Grid in the context of verification and validation. To achieve this goal, we adopt the discrete event system specification (DEVS) modeling methodology, which allows generalization and specialization of the entities in the model for a customized simulation with specific scenarios. In addition, we articulate metrics for supporting our simulation-based verification and validation and demonstrate the feasibility and effectiveness of our approach with a real-world use case.
Keywords :
discrete event systems; formal verification; power engineering computing; smart power grids; DEVS modeling methodology; discrete event system specification; formal validation; formal verification; simulation-based validation; smart grid environments; Capability maturity model; Electricity; Generators; Load modeling; NIST; Silicon; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/IRI.2013.6642448
Filename :
6642448
Link To Document :
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