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| Technical and Economic Design of Solar/Wind Hybrid Systems with the Goal of Minimizing the Annual Cost of Energy Using the Improved Teaching-Learning Algorithm |
Mehdi Ershadi Nejad, Esmail Ghezi, Mohammad Reza Tashakori Sabzevar
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Abstract:
In this study, the optimization of solar-wind hybrid systems includes solar panels, wind turbines and batteries with the aim of minimizing system costs, including initial investment costs, maintenance and restoration of the balance of production and consumption power. The objective of optimizing the hybrid systems is to determine the capacity or number of solar and wind units together with the number of batteries. The optimization of the system has been made using the ITLBO improved learning-learning algorithm and for solar-only combinations, wind and hybrid. The optimization results showed that the ITLBO method showed better performance in optimizing the system than the usual TLBO algorithms, harmonic search (DHSA), and B & B method. The results also show that the capacity of solar and wind units has an important role in optimizing the capacity of the equipment as well as energy costs.
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