IGDT-based multi-stage transmission expansion planning model incorporating optimal wind farm integration

In this paper, a new transmission expansion planning (TEP) model considering wind farms (WFs) optimal integration to power systems is proposed based on the information-gap decision theory (IGDT). The uncertainties of WFs output power and forecasted demand are considered in the problem, and IGDT is used to control the investment risk as well as to reduce the effects of these uncertainties on the investors' strategies. The TEP model is formulated for the risk-averse and risk-seeker investors through the robustness and opportunity models, respectively. Moreover, this TEP model allows WF lines and network lines to be added at multiple time points during a multi-stage time horizon. A genetic algorithm approach is employed to solve the bi-level IGDT-based optimization problem. Finally, this IGDT-based model is applied to the simplified Iranian 400-kV system, and the results are discussed.