Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | Simulation of Smart-Grid Models using Quantization-Based Integration Methods
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Title:
Simulation of Smart-Grid Models using Quantization-Based Integration Methods
Author:
Xenofon Floros: Department of Computer Science, ETH Zurich, Switzerland Federico Bergero: CIFASIS-CONICET, Rosario, Argentina Nicola Ceriani: Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy Francesco Casella: Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy Ernesto Kofman: CIFASIS-CONICET, Rosario, Argentina François Cellier: Department of Computer Science, ETH Zurich, Switzerland
DOI:
10.3384/ecp14096787
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
082
Pages:
787-797
No. of pages:
11
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Concepts such as smart grids; distributed generation and micro–generation of energy; market–driven as well as demand–side energy management; are becoming increasingly important and relevant as emerging trends in the design; management and control of energy systems. Appropriate modeling and design; efficient management and control strategies of such systems are currently being studied. In this line of research a very important enabling component is efficient and reliable simulation. However those energy models are typically large; stiff and exhibiting heavy discontinuities; and at the same time consist of interconnected multi–domain subsystems encompassing electrical; thermal; and thermo-fluid models. Object-Oriented (O–O) languages such as Modelica are obviously well-suited for the modeling of such systems; however; traditional state-ofthe-art hybrid differential algebraic equation solvers cannot efficiently simulate these systems especially when their size grows to the order of hundreds; thousands; or even more interconnected units.

The goal of this paper is to show; through a couple of exemplary case studies; that Quantized State System (QSS) integration methods are ideally suited to solve models of such systems; as they scale up better than traditional methods with the system size; and provide time savings of several orders of magnitude; while achieving comparable numerical precision.

Keywords: Quantization–Based Integration Methods; QSS; DASSL; Smart–Grids; EnergyMarket; Modelica

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Xenofon Floros, Federico Bergero, Nicola Ceriani, Francesco Casella, Ernesto Kofman, François Cellier
Title:
Simulation of Smart-Grid Models using Quantization-Based Integration Methods
DOI:
http://dx.doi.org/10.3384/ecp14096787
References:

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Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Xenofon Floros, Federico Bergero, Nicola Ceriani, Francesco Casella, Ernesto Kofman, François Cellier
Title:
Simulation of Smart-Grid Models using Quantization-Based Integration Methods
DOI:
http://dx.doi.org/10.3384/ecp14096787
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