Aiming at the problem that it is extremely difficult to evaluate the operational status of large-scale photovoltaic power generation systems with less prior knowledge

a new generation of solar power plants is built.Firstly

the multi-dimensional monitoring data generated in different working environments is subjected to principal component analysis（ PCA） dimensionality reduction

and then hierarchical cluster analysis is used to evaluate the operating status of the photovoltaic power plants. Experiments show that this method effectively solves the evaluation of the operating state of photovoltaic power plants in the absence of prior knowledge

and has important theoretical and practical value.