Robust AC Transmission Expansion Planning Using a Novel Dual-Based Bi-Level Approach

Renewable Energy Sources (RESs) integration strengthens the need for a power network that can robustly handle system’s uncertain scenarios. This paper proposes first nonlinear novel dual-based bi-level approach robust AC Transmission Expansion Planning (TEP) with uncertainties in RES generations and loads. It utilizes convex relaxation is solved by Benders Decomposition (BD), where master determines expansion plan. The dual slave second level of BD circumvents issues using conventional conic theory aids worst-case realization additional constraints. proposed Interior Point Method (IPM), as it not mixed-integer problem. work includes linear constraints to speed up BD’s convergence direct towards optimality. tested on several transmission systems, including Indian Northern Regional Power Grid (NRPG) system. robustness obtained plans verified Monte-Carlo Simulation (MCS) actual nonconvex Optimal Flow (OPF). effect budget uncertainty plan also investigated. A comparison two previous works reveals efficacy approach.