Introduction  To ensure the safety, reliability and economy of power supply, the paper evaluates the power consumption meteorological risk of Yinchuan City from 2014 to 2022.

  Method  A power consumption meteorological risk assessment model was established by risk index, sensitivity index and vulnerability index, and the correlation analysis, percentile method, normalization and other methods based on meteorological data from automatic stations and electricity load data.

  Result  The results show that the peak of electricity load appeared in heating period and transition period (January, March, October to December) and Summer (June to July), and the lower values in April and September. The results of correlation analysis show that the higher temperature, the greater the electrical load. High temperature intensity, high temperature frequency, daily electricity consumption, power supply load, population density and community power supply facilities are selected as indicators of power consumption by the correlation analysis and the expert questionnaire survey, and the weights are 0.5, 0.5, 0.98, <0.01, 0.99, <0.01. The results of the power consumption meteorological risk model show that the high and higher risk areas of power consumption meteorology in Yinchuan City are mainly located in Jinfeng District, Xingqing District is mainly located in medium risk areas, and Xixia District is mainly characterized by lower and lower risks.

  Conclusion  The research results can provide reasonable power dispatch and supply strategies for regional power supply based on the meteorological risk assessment model for power supply and the actual needs of the power supply department.