The advent of renewable energy sources (RESs) in the power industry has revolutionized
the management of these systems due to the necessity of controlling their stochastic nature …

The rapid advancement of artificial intelligence (AI) techniques has opened up new
opportunities to revolutionize various fields, including operations research (OR). This survey …

Reliability Assessment Commitment (RAC) Optimization is increasingly important in grid
operations due to larger shares of renewable generations in the generation mix and …

The vehicle-to-grid (V2G) technology enables the bidirectional power flow between electric
vehicle (EV) batteries and the power grid, making EV-based mobile energy storage an …

ABSTRACT The Optimal Power Flow (OPF) problem is the cornerstone of power systems
operations, providing generators' most economical dispatch for power demands by fulfilling …

Optimal power flow (OPF) is a crucial tool in the operation and planning of modern power
systems. However, as power system optimization shifts towards larger-scale frameworks …

The repeated solution of large-scale optimization problems arises frequently in process
systems engineering tasks. Decomposition-based solution methods have been widely used …

Learning to Optimize (L2O) approaches, including algorithm unrolling, plug-and-play
methods, and hyperparameter learning, have garnered significant attention and have been …

The optimal power flow (OPF) problem, characterized by its inherent complexity and strict
constraints, has traditionally been approached using analytical techniques. OPF enhances …

We propose a GPU-accelerated distributed optimization algorithm for controlling multi-phase
optimal power flow in active distribution systems with dynamically changing topologies. To …