An Optimization Framework for Dynamic Hybrid Energy Systems
A computational framework for the efficient analysis and optimization of dynamic hybrid energy systems (HES) is developed. A microgrid 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 the dynamic properties of the battery, reactor and generator 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. The preliminary optimization results obtained in this study provide an essential step towards the development of a comprehensive framework for designing HES.
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- Conference: 10th International Modelica Conference 2014,Lund, Sweden,03/10/2014,03/12/2014
- Research Org:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
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- Country of Publication:
- United States
- 97 MATHEMATICS AND COMPUTING; 29 ENERGY PLANNING, POLICY AND ECONOMY; DYNAMIC SIMULATION AND ANALYSIS; Functional Mock-up Interface (FMI); hybrid energy systems; optimization; renewable energy
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