计算鲁棒且广义的光伏电池全局参数估计方法——无需依赖数据表信息

Accurate analysis of the current-voltage characteristics of a photovoltaic (PV) panel is important for many model-based control and planning applications. The present paper works on developing a robust framework for the global parameter estimation of the constituent cells of a PV panel so that the panel characteristics can be analytically produced for any arbitrary environmental condition. The proposed global parameter estimation is carried out only by using the experimental data, and considering any number of diodes in the PV-cell equivalent circuit. The use of the datasheet information is completely avoided as the panel datasheet is likely to lose its validity in the long run owing to the panel capacity degradation with time. At the same time, instead of using any heuristic/metaheuristic technique, a purely deterministic optimization procedure is designed to obtain the PV-cell global parameters through a least-square-error curve fitting approach. In order to enhance the computational robustness of parameter estimation, a concept of partial-diode open-circuit voltages is further introduced to describe the temperature dependence of reverse saturation currents, while replacing the conventional band-gap energy model. The merit and potential of the proposed voltage-based datasheet-independent deterministically optimized global parameter estimation framework are thoroughly verified through both simulations and real experiments.