Abstract
Stand-alone hybrid renewable energy systems are more reliable than one-energy source systems. However, their design is crucial. For this reason, a new methodology with simulation having as aim to design an autonomous hybrid PV-wind-battery system is proposed. Based on a triple multi-objective, the present methodology combines life cycle cost (LCC), embodied energy (EE) and loss of power supply probability (LPSP). For a location, meteorological and load data have been collected and assessed. Afterwards, components of the system and optimisation objectives have been modelled. Finally, an optimal configuration has been put in place using a dynamic model and applying a controlled elitist genetic algorithm for multi-objective optimisation. This methodology has been applied successfully for the sizing of a PV-wind-battery system to supply at least 95% of yearly total electric demand of a residential house.
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