کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1733248 | 1521496 | 2013 | 15 صفحه PDF | دانلود رایگان |
A framework is presented for the automated superstructure generation and optimization of distributed energy supply systems (DESS). Based on a basic problem description (specifying load cases, available technologies, and topographic constraints), the presented framework first employs the P-graph approach for the generation of an initial superstructure containing exactly one unit of each feasible technology. DESS, however, require to account for multiple redundant conversion units, and thus a successive approach is employed to automatically expand the initial P-graph superstructure. In addition, topographic constraints are incorporated. The expanded superstructure is automatically converted into a mathematical model using a generic component-based modeling approach. Here, a robust MILP formulation is used to rigorously optimize the structure, sizing and operation of DESS. The employed MILP formulation accounts for time-varying load profiles, continuous equipment sizing, and part-load dependent operating efficiencies. In the present implementation, a GAMS model is generated that can be readily optimized. The methodology is applied to a real-world case study. It is shown that the framework conveniently and efficiently enables automated grassroots and retrofit synthesis of DESS identifying unexpected and complex designs.
► A framework for automated superstructure generation and optimization is presented.
► Customized approach for the synthesis of distributed energy supply systems.
► A generic component-based modeling framework is employed using real-life data.
► Simultaneous optimization of structure, sizing, and operation using robust MILP algorithm.
► The automated approach makes optimization accessible for practitioners.
Journal: Energy - Volume 50, 1 February 2013, Pages 374–388