In view of the increasingly significant differences in the spatiotemporal distribution of regional loads caused by the large-scale development of electric vehicles，an optimization strategy for regional dynamic interleaved electricity prices based on travel chains was proposed，and a three-dimensional coupling mechanism of “user travel characteristics，regional load characteristics，and dynamic time-series response of electricity prices ” was constructed to meet the differentiated electricity demand in different regions.Firstly，based on the travel chain theory，the time characteristics of cross-regional movements of electric vehicles were analyzed，and the temporal correlation of electricity price strategies in each region was dynamically adjusted：in the residential region，the discharge compensation price is implemented during the high load period at night to reduce the peak load，and the encouraged charging price is adopted during the low load period to achieve load balance；in the working region，combined with the characteristic that the charging demand is concentrated in the high load period，the discharge compensation price and peak-valley deviation price are designed to smooth load fluctuations；in the commercial region，the power adjustment price is used to smooth the power distribution during the peak period，and the peak-valley price is utilized to improve the efficiency of the power grid during other periods.The optimization model is targeted at minimizing the user charging and discharging costs and the mean square deviation of peak-valley load fluctuations of the power grid.The simulation results show that the strategy significantly optimizes the regional load distribution，reduces power grid fluctuations and user charging costs，and provides a new idea for the design and scheduling optimization of electricity price strategies.