There is coordination problem between load factor price and peak-valley time-of-use price (TOU) of large and medium industrial and commercial users. Therefore, combining with the electricity power system and environment in China, this paper bases on the users demand and supply cost otherness to build the power consumption market segment and demand-price elastic model of load factor classification. Time-of-use electricity pricing model considering customers classified by load factor is settled applying the marginal cost pricing theory. The model adopts the method of hierarchical coordination optimization. The first layer applies the density clustering and two-part price theory to analyze the marginal electricity and capacity cost of each load factor block, and formulate the method for load factor classification and pricing average price for each one. The second layer takes the average price level of each block as constraint and cutting peak load to fill valley as the goal, then sets coordination optimization model of TOU tariff with load factor block based on the electric price elasticity matrix. This model coordinates multiple targets such as efficiency, fairness and peak load shifting. Its rationality and validity are validated by one case. This work is supported by National Natural Science Foundation of China (No. 71203137 and No. 71403163).