Abstract: The increasing proportion of renewable energy in new power systems makes a singular electricity tariff mechanism no longer sufficient to meet the flexibility demands of these systems. A multi-time scale integrated electricity tariff mechanism is proposed to fully exploit the potential of flexible load resources. It combines various pricing strategies, including two-part tariff, time-of-use tariff, and critical peak tariff, aiming to guide and encourage consumers to adjust their electricity consumption behavior across multiple time scales through targeted tariff signals. Firstly, the time-domain analysis is utilized to extract the variation regulation, distribution, response characteristics on the demand side at various time scales, thereby assessing the response potential.Subsequently, the concept of multi-granularity modeling is introduced, which involves dividing the granularity level according to the capacity and response accuracy of flexible loads and establishing a multi-granularity response model. Finally, the optimization models of two-part tariff, stepwise time-of-use tariff, critical peak tariff and direct load control are established respectively, aiming to facilitate demand response within an integrated electricity tariff optimization framework at seasonal, day-ahead, and intraday scales. The simulation results indicate that the proposed mechanism effectively promotes the transfer of load resources across different time scales, thereby offering significant advantages in enhancing power load curve, reducing electricity bills, and alleviating grid pressure. The results also provide a theoretical foundation for the refined pricing design of the electricity market.