Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …

To cope with increasing uncertainty from renewable generation and flexible load, grid
operators need to solve alternative current optimal power flow (AC-OPF) problems more …

Optimal power flow is a cornerstone of electrical power system operations: it is solved
repeatedly every five minutes in the real-time market. It is also a critical building block for the …

With the increasing penetration of renewables, AC optimal power flow (AC-OPF) problems
need to be solved more frequently for reliable and economic power system operation …

One potential future for the next generation of smart grids is the use of decentralized
optimization algorithms and secured communications for coordinating renewable generation …

In this letter, we propose distributed and networked energy management scenarios to
optimize the production and reservation of energy among a set of distributed energy nodes …

The application of deep learning methods to speed up the challenging power system
problems has recently shown very encouraging results. However, power system dynamics …

Deep Neural Networks approaches for the Optimal Power Flow (OPF) problem received
considerable attention recently. A key challenge of these approaches lies in ensuring the …

With the increasing penetration of distributed energy resources, distributed optimization
algorithms have attracted significant attention for power systems applications due to their …

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