Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems

Dhaker Abbes, André Martinez and Gérard Champenois

Mathematics and Computers in Simulation (MATCOM), 2014, vol. 98, issue C, 46-62

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 the aim to design an autonomous hybrid PV-wind-battery system is proposed here. Based on a triple multi-objective optimization (MOP), this 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. Then, components of the system and optimization objectives have been modelled. Finally, an optimal configuration has been carried out using a dynamic model and applying a controlled elitist genetic algorithm for multi-objective optimization. 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. Results indicate that such a method, through its multitude Pareto front solutions, will help designers to take into consideration both economic and environmental aspects.

Keywords: Hybrid power system; Dynamic simulation; Multi-objective design optimization; Genetic algorithm (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (54)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:98:y:2014:i:c:p:46-62

DOI: 10.1016/j.matcom.2013.05.004

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