This chapter describes a methodology for modeling and simulation of Electrical Energy Systems, based on a “native” power modeling and simulation approach, where power is explicitly simulated as a (non digital) signal. The proposed methodology relies on the use of a standard hardware description language (HDL), namely SystemC, and exploits its extension to model and simulate analog and mixed-signal (AMS) components, thus enabling the concurrent simulation of functionality and the tracking of power. The approach relies on the definition of a unified interface for the various components of a smart system from the power perspective (ESDs, power sources, power converters, interconnects, and functional components—regarded as “loads”) and a “metamodeling” approach in which models of actual devices are fitted to the model templates defined by those interfaces. The effectiveness of the proposed approach is demonstrated on an industry-strength smart system prototype, where significant performance speedups against model-based tools were achieved.
Modeling and Simulation of the Power Flow in Smart Systems / Vinco, Sara; Sassone, Alessandro; Poncino, Massimo; Macii, Enrico; Gangemi, Giuliana; Canegallo, Roberto - In: Smart Systems Integration and Simulation / Nicola Bombieri; Massimo Poncino; Graziano Pravadelli. - [s.l] : Springer International Publishing, 2016. - ISBN 978-3-319-27390-7. - pp. 169-194 [10.1007/978-3-319-27392-1_7]
Modeling and Simulation of the Power Flow in Smart Systems
VINCO, SARA;SASSONE, ALESSANDRO;PONCINO, MASSIMO;MACII, Enrico;
2016
Abstract
This chapter describes a methodology for modeling and simulation of Electrical Energy Systems, based on a “native” power modeling and simulation approach, where power is explicitly simulated as a (non digital) signal. The proposed methodology relies on the use of a standard hardware description language (HDL), namely SystemC, and exploits its extension to model and simulate analog and mixed-signal (AMS) components, thus enabling the concurrent simulation of functionality and the tracking of power. The approach relies on the definition of a unified interface for the various components of a smart system from the power perspective (ESDs, power sources, power converters, interconnects, and functional components—regarded as “loads”) and a “metamodeling” approach in which models of actual devices are fitted to the model templates defined by those interfaces. The effectiveness of the proposed approach is demonstrated on an industry-strength smart system prototype, where significant performance speedups against model-based tools were achieved.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2638499