Abstract
In this article, we analyze the characteristics of current–voltage (I–V) curves of photovoltaic (PV) modules in the hotspot state, determine characteristic quantities for identifying specific hotspot state information in the utilized module, and establish an inverse solution model for estimating the normal module temperature according to the electrical characteristics of the module. We combine this inverse solution model with a heat balance model to estimate the temperature of a faulty cell and obtain the overall temperature distribution in the module. Finally, infrared data on hotspot modules collected at a power plant in Hubei are used to verify the feasibility and accuracy of the temperature estimation algorithm. The experimental results show that the proposed PV cell temperature estimation method can determine the temperature distributions in different module areas and provide technical support for module-associated fire warnings.
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