Abstract: At present，the most commonly used methods for identifying photovoltaic cell parameters are

analytical methods and intelligent optimization algorithms. The sparrow search algorithm（SSA）is a newly

proposed intelligent optimization algorithm. It has the advantages of traditional intelligent optimization algorithms

while increasing the speed of calculation，the problem of falling into the local optimum is optimized. Under the

demand for intelligent monitoring of photovoltaic systems，a photovoltaic array parameter identification method

based on sparrow search algorithm was proposed to identify the model parameters and then to fit the characteristic

curve of the photovoltaic array. The relevant parameters of the photovoltaic cell were identified through the

measured data，and then the characteristic curve was fitted. The results show that the proposed method can

accurately fit the characteristic curve while ensuring the calculation speed.

      Key words: photovoltaic（PV）array；parameter identification；intelligent optimization algorithm；sparrow

search algorithm（SSA）