Recently, great challenges emerged in the field of using renewable energy sources, and one of the most important of these challenges is the use of solar energy, so many researches have been done to show the behavior o...
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ISBN:
(纸本)9781665401272
Recently, great challenges emerged in the field of using renewable energy sources, and one of the most important of these challenges is the use of solar energy, so many researches have been done to show the behavior of solar photovoltaic (PV) cells through the current-voltage characteristic (I-V), which is determined by the circuit model's parameters. Therefore, the importance of extraction of the cell model parameters is necessary for conducting studies of controlling solar PV systems. The main goal of this article is to identify solar cell parameters using school-basedoptimization (SBO) algorithm. By comparing the results obtained by the SBO with those obtained by other previously published algorithms, the effectiveness and accuracy of SBO are proved. The proposed parameter estimation algorithm is applied for each of the two mathematical models (single-diode and double-diode) of the solar cell. The accuracy of the proposed algorithm was checked through current-voltage (I-V) and power-voltage (P-V) characteristics regarding the corresponding measured ones.
In this paper, a school-basedoptimization (SBO) algorithm is applied to the design of steel frames. The objective is to minimize total weight of steel frames subjected to both strength and displacement requirements s...
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In this paper, a school-basedoptimization (SBO) algorithm is applied to the design of steel frames. The objective is to minimize total weight of steel frames subjected to both strength and displacement requirements specified by the American Institute of Steel Construction (AISC) Load Resistance Factor Design (LRFD). SBO is a meta heuristic optimizationalgorithm inspired by the traditional educational process that operates within a multi classroom school. SBO is a collaborative optimization strategy, which allows for extensive exploration of the search space and results in high-quality solutions. To investigate the efficiency of SBO algorithm, several popular benchmark frame examples are optimized and the designs are compared to other optimization methods in the literature. Results indicate that SBO can develop superior low-weight frame designs when compared to other optimization methods and improves computational efficiency in solving discrete variable structural optimization problems.
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