Traditional distribution planning methods based on peak load usually results in large investment， high risk and low utilization factor. A distribution network planning method considering distributed generation（DG） for peak shaving is proposed. The new integrated distribution network planning with DG implementation aims to minimize investments for feeders and DGs as well as the DGs additional cost. Using the solution techniques combining genetic algorithm（GA） with the heuristic approach， the proposed model determines the optimal feeder network and DGs' sizing and siting. An attractive feature of the method is that the strategy to allocate DG based on the radial structure characteristics of distribution network， avoids increasing the number of variables， thus easing the computational burden substantially. Furthermore， the effect of different types of DG on planning scheme is discussed. The case results show the feasibility and validity of the proposed method.