Robust AC Transmission Expansion Plans from A Novel Dual Based Bi-level Approach

TL;DR

This paper introduces a novel dual-based bi-level approach for robust AC transmission expansion planning that effectively manages uncertainties in renewable energy sources and loads, improving solution robustness and convergence.

Contribution

It presents the first nonlinear dual-based bi-level method using convex relaxation and Benders Decomposition for robust AC TEP with uncertainties, overcoming limitations of traditional dual models.

Findings

The proposed approach outperforms previous methods in robustness and convergence.

Monte-Carlo simulations confirm the effectiveness of the robust plans.

The method efficiently handles uncertainties in RES and load scenarios.

Abstract

The rapid integration of Renewable Energy Sources (RESs) strengthens the need for a power network that can robustly handle the system's uncertain scenarios. Thus, this paper proposes the first nonlinear novel dual based bi-level approach for robust AC Transmission Expansion Planning (TEP) plans with uncertainties in RES generations and loads. It utilizes a convex relaxation and is solved by Benders Decomposition (BD), where the master determines the robust AC TEP plan. The novel dual slave model for the second level of BD circumvents the issues in using the conventional conic dual theory and aids in the worst-case realization of uncertainties using additional novel constraints. The novel dual slave is solved using Interior Point Method (IPM), as it is not a mixed-integer problem. The proposed work also includes additional linear constraints to reduce the BD's slow convergence and direct the master towards optimality. The robustness of the AC TEP plans is verified by Monte-Carlo Simulation (MCS) of the actual nonlinear and non-convex AC Optimal Power Flow (OPF). The effect of the budget of uncertainty on the AC TEP plans is also investigated. A comparison with the results of a previous work reveals the superiority of the proposed work.