Parameter extraction of photovoltaic cell and module: Analysis and discussion of various combinations and test cases

Abstract A reliable model for photovoltaic (PV) cell/panel is of great interest; it helps to simulate and better understand the behavior of PV systems. Consequently, better control and optimization of the system can be achieved. The most used models of PV cell/panel in literature are the one-diode (ODM) and double-diode (DDM) models. Their accuracy strongly depends on their parameters which must be obtained carefully. Optimization-based approaches are widely adopted for this purpose. In this context, this paper presents two main references studies: The first one focuses on optimization methods and their three basic elements: model, objective function and algorithm. The study highlights the improvement that can be made to the accuracy of the final I-V curve and to the CPU-time required for the extraction by choosing the right combination of the three elements. This is done through the analysis of more than 50 results obtained by different combinations of algorithms, objective functions and models applied to benchmark PV cells and panels widely used in literature. The best combinations are identified and recommended. The second is a detailed comparison and classification of 47 I-V curve estimation methods based on three different approaches: optimization techniques, analytical methods and explicit models of PV cells/panels.

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