Reduced order modeling of a shipboard power system

Reduced-order average-value models form the basis of a computationally efficient approach for studying shipboard power systems. As a result of neglecting fast states, this approach generally involves solving a set of differential algebraic equations. Although the reduced-order average-value modeling...

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Bibliographic Details
Main Authors: Abdelwahed, S., Asrari, A., Crider, J., Dougal, R. A., Faruque, M. O., Fu, Y., Langston, J., Lee, Y., Mohammadpour, H. A., Ouroua, A., Santi, E., Shoder, K., Sudhoff, S. D., Zhang, Y., Zheng, H., Zivi, E.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Equations
Load modeling
Mathematical model
Numerical models
Power systems
Synchronous machines
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Summary:Reduced-order average-value models form the basis of a computationally efficient approach for studying shipboard power systems. As a result of neglecting fast states, this approach generally involves solving a set of differential algebraic equations. Although the reduced-order average-value modeling approach has been well studied in the literature, as simulation languages evolve the most programmatic approach to addressing the non-linear algebraic portion of the model changes as well. In this work, a number of approaches for implementing reduced-order average-value models of a small power system are compared.
DOI:10.1109/ESTS.2013.6523743