To improve the impact of wind power output uncertainty and multi-energy transmission differences on the regulation process in integrated natural gas and electric power systems， a hybrid scale regulation method based on an improved wavelet fusion algorithm is proposed. Firstly， an interval mathematical approach is used to represent the wind power uncertainty in the system and give the wind power treatment strategy. Secondly， considering the differences of different energy transmission characteristics， an improved wavelet fusion algorithm is proposed to first decompose the sensor signal data in the power network with several different wavelet bases at multiple scales， and then implement a weighted data fusion algorithm on the hybrid scale for the signals decomposed using the same wavelet bases in the natural gas system signal data， and obtain the fused signals after the inverse conversion of different wavelet bases. Finally， based on the simulation model built， the modulation effects of different modulation methods are compared and analyzed. The results show that the proposed method outperforms the DMPC rolling optimization regulation and improves the system stability while improving the system operation economy.