Communication Dans Un Congrès Année : 2022

Optimal sizing of an isolated DC microgrid using multiobjective optimization with linear programming

Fadi Agha Kassab
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Berk Celik
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Résumé

A microgrid design is crucial to minimize components costs within the system by ensuring neither undersized nor oversized system components. This paper presents a sizing algorithm that determines the optimal capacity of photovoltaics (PV) system with battery energy storage system (BESS) in a DC microgrid. A multi-objective problem is formulated using linear programming that minimizes the cost of PV and BESS installation for the project lifetime (30 years). The multi-objective optimization problem is solved using CPLEX using one-year consumption, ambient temperature and solar irradiance data within one-hour time resolution (8760 hours). The simulation results show that the presented algorithm determines the annual cost by obtaining optimal PV and BESS capacities for a tertiary building.

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Dates et versions

hal-03775487 , version 1 (12-09-2022)

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  • HAL Id : hal-03775487 , version 1

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Fadi Agha Kassab, Berk Celik, Fabrice Locment, Manuela Sechilariu. Optimal sizing of an isolated DC microgrid using multiobjective optimization with linear programming. Jeunes Chercheurs en Génie Électrique (JCGE22), Jun 2022, Croisic, France. ⟨hal-03775487⟩
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