Synthesis and Optimization of Distributed Energy Supply Systems using Automated Superstructure and Model Generation

Abstract

Abstract A novel approach is presented for the automated generation of models representing superstructures for the synthesis and optimization of distributed energy supply systems (DESS). Based on a basic problem description (load cases, available technologies, and topographical constraints), the proposed algorithm automatically generates a model accounting for time-varying load profiles and part-load dependent operating efficiencies. Building upon the P-graph approach, the derived superstructure is extended to include multiple redundant conversion units as required for DESS optimization. In the present implementation, a GAMS model is generated that can be readily optimized. The approach is applied to the retrofit synthesis of the energy supply system of an industrial site. It is shown that the automated procedure provides a convenient and efficient optimization framework for DESS.