During the recent years, the power system has entered a new technological era. The trends
associated with increased commitment to wind farms (WFs) and energy storage systems …

Electric demand is steadily increasing, hence requiring continuous investments in
modernizing, and expanding power grids worldwide. Traditionally, power system planning …

This paper presents a method for coordinated network expansion planning (CNEP) in which
the difference between the total cost and the flexibility benefit is minimized. In the proposed …

This study presents a flexible, reliable, and renewable power system resource planning
approach to coordinate generation, transmission, and energy storage (ES) expansion …

This paper proposes a novel modeling framework and decomposition-based solution
strategy combining stochastic programming (SP) and robust optimization (RO) to deal with …

This paper studies the problem of robust transmission expansion planning (TEP)
considering the Nk contingency and the uncertainty of load demand and renewable energy …

In this paper, a real-life application of bi-level evolutionary optimization is proposed to
optimize the electricity industry infrastructure. It offers a coordinated generation and …

Here, an optimisation framework is proposed for integrated resource expansion planning
(IREP) including conventional generation units, wind generation units, and transmission …

The paper presents a multi‐year, multi‐objective framework for integrating Renewable
Energy Sources (RESs) into the high voltage transmission network of Iran's National Power …

In recent years, the ML community has seen surges of interest in both adversarially robust
learning and implicit layers, but connections between these two areas have seldom been …