Title :
Modeling and optimization techniques of electronic devices using genetic algorithm
Author_Institution :
Dept. of Elec. & Comp. Engr., Space Syst. Acad. Group, Monterey, CA
Abstract :
A new method for developing a realistic physical model of any type of solid state device is presented. Application to model advanced multi-junction solar cells; Thermo-photovoltaics; sensors; as well as other novel solid state devices are introduced in this presentation. The primary goal of multijunction solar cell design is to maximize the output power for a given solar spectrum [1-4]. The construction of multijunction cells places the individual junction layers in series, thereby limiting the overall output current to that of the junction layer producing the lowest current [5-7]. The solution to optimizing a multijunction design involves both the design of individual junction layers which produce an optimum output power and the design of a series-stacked configuration of these junction layers which yields the highest possible overall output current. This paper demonstrates the use of Genetic Algorithm in a two-part process to refine a given multijunction solar cell design for near-optimal output power for a desired light spectrum. This approach can similarly be utilized to optimize the parameters of any Solid state device to yield any desired performance.
Keywords :
genetic algorithms; solar cells; thermophotovoltaic cells; electronic devices; genetic algorithm; multi-junction solar cells; realistic physical model; series-stacked configuration; solid state device; thermo-photovoltaics; Biological cells; Computational modeling; Gallium arsenide; Genetic algorithms; Photovoltaic cells; Power generation; Power system modeling; Solid modeling; Solid state circuits; Thermal sensors; Genetic Algorithm; Modeling; Optimizations; Photovoltaics; Solar Cells;
Conference_Titel :
Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on
Conference_Location :
Dubrovnik
Print_ISBN :
978-953-7138-12-7
Electronic_ISBN :
1330-1012
DOI :
10.1109/ITI.2008.4588505