1
Assistant Professor, Mazandaran University of Science and Technology, Behshahr, Iran
2
Associate Professor, Mazandaran University of Science and Technology, Behshahr, Iran
Abstract
Energy storage is one of the important issue in today’s society, and among the existing solutions, superconducting magnetic energy storage is a suitable solution despite the technical complexity of their dimensions. The main goal of this article is to provide a positive approach in providing optimal dimensions of superconducting magnetic energy storage, taking into account the cost factor and reducing power losses. To optimize SMES dimensions, the gray wolf optimization algorithm has been used due to the special efficiency of this algorithm in finding the optimal value and its convergence speed. Optimizing the dimensions of SMES in order to reduce power losses by considering the economic parameters and the cost factor is included in this paper. The obtained results show the simultaneous effect of cost and power losses on the optimum dimensions of the SMES. The simulation results demonstrate that considering the cost factor cause a 9% and 54% reduction in the power loss and the optimum volume of the 100 kJ SMES, respectively.
Khodsuz, M., & Niaz Azari, M. (2024). Optimizing the high temperature superconducting energy storage dimensions with the aim of reducing losses and cost factor. Applied Electromagnetics, 12(2), -.
MLA
Masume Khodsuz; Milad Niaz Azari. "Optimizing the high temperature superconducting energy storage dimensions with the aim of reducing losses and cost factor", Applied Electromagnetics, 12, 2, 2024, -.
HARVARD
Khodsuz, M., Niaz Azari, M. (2024). 'Optimizing the high temperature superconducting energy storage dimensions with the aim of reducing losses and cost factor', Applied Electromagnetics, 12(2), pp. -.
VANCOUVER
Khodsuz, M., Niaz Azari, M. Optimizing the high temperature superconducting energy storage dimensions with the aim of reducing losses and cost factor. Applied Electromagnetics, 2024; 12(2): -.
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