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