Improving the performance of photovoltaic laser power converters using automatic global optimization techniques

被引：0

作者：

Lozano, Javier F. ^{[1
]}

Seoane, Natalia ^{[1
]}

Comesana, Enrique ^{[2
]}

Almonacid, Florencia ^{[3
]}

Fernandez, Eduardo F. ^{[3
]}

Garcia-Loureiro, Antonio ^{[1
]}

机构：

[1] Univ Santiago de Compostela, Dept Elect Computac, Ctr Singular Invest Tecnol Informac CiTiUS, Santiago De Compostela 15782, Spain

[2] Univ Santiago de Compostela, Escola Politecn Super Enxenaria, Campus Terra, Santiago De Compostela, Spain

[3] Univ Jaen, Adv Photovolta Technol AdPVTech, CEACTEMA, Jaen 23071, Spain

来源：

2023 IEEE LATIN AMERICAN ELECTRON DEVICES CONFERENCE, LAEDC | 2023年

关键词：

High Power Laser Transmission; Laser Power Converter; global optimization; SHGO; GAAS;

D O I：

10.1109/LAEDC58183.2023.10209132

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To develop the potential of the High Power Laser Transmission technology, the efficiencies of the Laser Power Converters (LPCs) need to improve. New optimization methods are required to find the optimal configurations of a new generation of ultra-efficient LPCs. In this work we explore the suitability of the SHGO algorithm, a recently published blackbox, global optimization algorithm, to optimize the TCAD modeling of a state-of-the-art GaAs-based Laser Power Converter. We found various configurations that improve the efficiency by a 7.3% of the original device structure in computational times under 17h.

引用

页数：4

共 30 条

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