<p>Increasing energy demand and the environmental and economic problems caused by using fossil fuels have led to difficulties in developing generation of conventional power plant-based networks. Nowadays, renewable energy production, with its numerous advantages, plays a significant role in network generation expansion. One of the challenges in terms of generation expansion, which causes many adverse effects on power system development projects, is the issue of delay occurrence in the development of generation units. To mitigate the resulting losses, special attention is required in power network expansion planning. In this paper, a dynamic transmission network expansion planning (TEP) model is presented, taking into account the uncertainty of the delay in the construction of renewable generation (RG) units, the delay in the development of conventional generation units’ capacity (CGUC) and the load. To deal with the existing uncertainties, a robust optimization (RO) method is employed. In the proposed robust approach, the uncertainty parameters are modeled as bounded interval ranges and the uncertainty budget parameter is used to control the conservatism level of the solution. The provided robust model assesses the effect of the uncertainties on the investment cost, and finally, the optimal expansion plan of the transmission network is provided. Simulations are performed on two test networks of 6-bus Garver and 24-bus IEEE using GAMS software, and the effectiveness of the proposed model is evaluated.</p>