When business expansion plans of new access loads are formulated for traditional distribution networks, their timing and controllable and interruptible loads are not considered, which can easily cause loads with the same characteristics to be concentrated in the same power source. As a result, the peak and valley values of the power point are overlapped, and thus equipment utilization and business expansion capacity are lowered. In response, this paper proposes an optimal business expansion model for distribution networks, which considers load timing and power source matching. Firstly, the paper proposes a fuzzy C-means clustering method based on the improved nutcracker optimization algorithm to obtain the temporal load clustering library. Secondly, it proposes a temporal load pattern recognition method for new installation users based on membership function. After that, the controllable and interruptible load of the power point is integrated into the above model, and an optimal model for the business expansion of the distribution network is established. Finally, simulation verification is conducted using an actual power grid as an example, demonstrating the effectiveness of the proposed method.