Robust optimal design method for photovoltaic cells
AssigneeNorthwestern Polytechnical University
InventorsFeng Zhang, Mingying Wu, Xu Zhang, Dongyue Wang, Xiayu Xu, Lei Cheng
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AssigneeNorthwestern Polytechnical University
InventorsFeng Zhang, Mingying Wu, Xu Zhang, Dongyue Wang, Xiayu Xu, Lei Cheng
Estimating the term…
This invention relates to a robust optimal design method for photovoltaic cells. Firstly, the deterministic optimal model is established, which is solved by Monte Carlo method to obtain the maximum output power value of optimization objective and its corresponding design variable value, and then the design variable value obtained from deterministic optimization is deemed as the initial point of the mean value of the robust optimal design variable. Later, the robust optimal model is solved by Monte Carlo method in order to obtain the mean value of design variable, and then appropriate materials and manufacturing techniques are selected for corresponding photovoltaic components according to the design variable obtained, so as to achieve the robust optimal design of photovoltaic cells. In fact, this invention improves the output stability and reliability of photovoltaic cells.
A robust optimal design method for photovoltaic cells, which is characterized that it comprises the following steps:
Dependencies are inferred from the claim text.