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Designing and Optimization of Hybrid Solar and Wind Turbine, with Superconducting Magnetic Energy Storage, by TLBO Algorithm | ||
Signal Processing and Renewable Energy | ||
مقاله 5، دوره 2، شماره 1، خرداد 2018، صفحه 33-40 اصل مقاله (358.3 K) | ||
نویسندگان | ||
Farshid Biria1؛ Mahmoud Modaresi* 2؛ Hamid Reza Akbari1 | ||
1Islamic azad university of yazd | ||
2Faculty of Electrical Engineering, Islamic Azad University South Tehran Branch, Tehran, Iran | ||
چکیده | ||
Considering the outstanding use of renewable energy sources, most of industrial countries secure a main part of their required energy from renewable energy resources. Solar panels and wind turbines are the most important sources for the scattered production based on Renewable energies. In this study the optimized design of a solar panel, wind turbine hybrid system with superconductive magnetic energy storage (SMES), separated from network, to provide for the load demand of a military site is considered. The aim of a system optimization is specifying the number of solar panels, wind turbines, and SMESs with minimizing the cost of system's energy production. In hybrid systems, due to fluctuations in energy production of solar panels and wind turbines, accumulation systems are used in order to provide for a perpetual load. This system is also used to minimize annual costs of energy production for a system of load demand of a military site with the use of TLBO algorithm on a basis of teach-learn is being studied. | ||
کلیدواژهها | ||
Wind turbine؛ Solar Panel؛ Superconducting Magnetic Energy Storage (SMES)؛ TLBO Algorithm | ||
آمار تعداد مشاهده مقاله: 224 تعداد دریافت فایل اصل مقاله: 182 |