Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | An Optimization Framework for Dynamic Hybrid Energy Systems Link�ping University Electronic Press Conference Proceedings
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Title:
An Optimization Framework for Dynamic Hybrid Energy Systems
Author:
Wenbo Du: Idaho National Laboratory, Idaho Falls, USA Humberto E. García: Idaho National Laboratory, Idaho Falls, USA Christiaan J.J. Paredis: Georgia Institute of Technology, Atlanta, USA
DOI:
10.3384/ecp14096767
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
080
Pages:
767-776
No. of pages:
10
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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A computational framework for the efficient analysis and optimization of dynamic hybrid energy systems(HES) is developed. A microgrid energy system with multiple inputs and multiple outputs (MIMO)is modeled using the Modelica language in the Dymola environment. The optimization loop is implemented in MATLAB; with the FMI Toolbox serving as the interface between the computational platforms. Two characteristic optimization problems are selected to demonstrate the methodology and gain insight into the system performance. The first is an unconstrained optimization problem that optimizes intrinsic properties of the base generation; power cycle; and electrical storage components to minimize variability in the HES. The second problem takes operating and capital costs into consideration by imposing linear and nonlinear constraints on the design variables. Variability in electrical power applied to high temperature steam electrolysis is shown to be reduced by 18% in the unconstrained case and 11% in the constrained case. The preliminary optimization results obtained in this study provide an essential step towards the development of a comprehensive framework for designing HES.

Keywords: Hybrid energy systems; dynamic simulation; optimization; renewable energy; FMI

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

Author:
Wenbo Du, Humberto E. García, Christiaan J.J. Paredis
Title:
An Optimization Framework for Dynamic Hybrid Energy Systems
DOI:
http://dx.doi.org/10.3384/ecp14096767
References:

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

Author:
Wenbo Du, Humberto E. García, Christiaan J.J. Paredis
Title:
An Optimization Framework for Dynamic Hybrid Energy Systems
DOI:
http://dx.doi.org/10.3384/ecp14096767
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