Abstract
A structural optimization method is proposed for designing energy supply systems in consideration of their multi-period operation. The structural optimization problem is formulated as a large-scale mixed-integer linear programming (MILP) problem with binary variables for selection and on/off status of equipment, and continuous variables for capacities and energy flow rates of equipment. A decomposition method with a strategy for partitioning variables finely is applied to solve the large-scale MILP problem. Through a numerical case study, the validity and effectiveness of the structural optimization method proposed here is clarified in term of solution optimality and computation time.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Proceedings of Design & Systems Conference
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
