Plan :
- Introduction
- Data sources and load profile
- Hybrid system models hybrid
- Multi-objective optimization procedure
- Results and discussion
- Conclusions and Perspectives
Étiquette : multi-objective design optimization
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Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems
RÉSUMÉ / 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.
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Multi-Objective design optimization of a hybrid PV-WIND-BATTERY SYSTEM
RÉSUMÉ / ABSTRACT :
Stand alone hybrid renewable energy systems are more reliable than a system with a single source of energy. However, its design is a crucial issue. In this context, we propose a triple Multi-Objective design, minimizing, simultaneously, Life Cycle Cost (LCC), Embodied Energy (EE) and Loss of Power Supply Probability (LPSP). Optimization has been insured by a dynamic model of the system under Matlab/Simulink and using a controlled elitist genetic algorithm. Results indicate that proposed method, through its multitude Pareto front solutions, will help designers to take into consideration environmental impact of such systems.