In the areas that have executed peak-valley price， reasonable adjustment of time period partition is a new problem when considering current customer responses. The fuzzy membership based method reported in the literature to divide time periods is no longer suitable for adjustment of time period partition. A new time period partition model for time-of-use electrical price based on customer response is proposed. This model compares the intensity variation of customers load profile proportion structure to estimate customer response degree and property index for each time point. Then， based on the response degree of each point， the model adjusts time period partition of fuzzy membership cluster analysis results. The model is applied on real data set of some regions. The results demonstrate that the model can effectively stimulate demand response through adjustment of time period partition scheme.