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Communication Dans Un Congrès Année : 2023

A fast heuristic algorithm for multi-energy system design

Résumé

The optimization of multi-energy systems (MESs) in which multiple energy carriers interact with each other is a complex problem. Their optimal operation and design can be determined through mathematical programming. A classical technology used in MESs is the combined heat and power units (CHP) whose efficiency is modeled through non-linear equations. These non-linear functions are approximated through piecewise linear ones by introducing binary decision variables, which generates a mixed-integer linear program (MILP). Consequently, optimizing such systems over a long time period with a high temporal resolution becomes infeasible in a reasonable amount of time. In this work, we propose a fast heuristic algorithm to optimize the design and operation of such an MES. Our case study is an MES at the scale of a district with five types of generation units, including a CHP, over a time period of one year with a temporal resolution of one hour. Comparison of the proposed heuristic and a state-of-the-art MILP solver over smaller time periods shows that the heuristic is up to 99.9 % faster, with a mean error of 2.3e-4 % compared to the optimal solution. The heuristic can also solve the optimal design and operation problem over a year in about 10 minutes.

Dates et versions

hal-04223359 , version 1 (29-09-2023)

Identifiants

Citer

Antoine Mallégol, Arwa Khannoussi, Mehrdad Mohammadi, Bruno Lacarrière, Patrick Meyer. A fast heuristic algorithm for multi-energy system design. ECOS 2023: 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Jun 2023, Las Palmas De Gran Canaria, Spain. pp.1432-1443, ⟨10.52202/069564-0130⟩. ⟨hal-04223359⟩
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