Despite major advancements in nonlinear programming (NLP) and convex relaxations, most
system operators around the world still predominantly use some form of linear programming …

Abstract Optimal Power Flow (OPF) is a complex and challenging problem in power system
that includes non-convex and non-linear constrained optimization problems. Due to these …

The study of power system planning, security and control is crucial for determining optimal
power flow (OPF), a highly non-linear complicated issue. The functioning of the power …

Over the last twin decades, significant advancements have occurred in global electricity
grids due to the widespread adoption of renewable energy resources (RES). While these …

Successive linear programming (SLP) is a practical approach for solving large-scale
nonlinear optimization problems. Alternating current optimal power flow (ACOPF) is no …

This paper presents a Day-Ahead Local Flexibility Market in the Distribution Network cleared
using a novel Successive Linear Programming algorithm for Optimal Power Flow in the …

The growing presence of renewable energy sources (RES), energy storage systems (ESSs)
and flexible loads (FLs) in power systems necessitates a new approach to N-1 security in …

After decades of research, efficient computation of AC Optimal Power Flow (ACOPF) still
remains a challenge. ACOPF is a nonlinear nonconvex problem, and operators would need …

Alternating current optimal power flow (ACOPF) problems are nonconvex and nonlinear
optimization problems. Utilities and independent service operators (ISO) require ACOPF to …

Optimal Power flow (OPF) problem is a nonlinear nonconvex optimization problem. It faces
three challenges when solving the algorithm based on traditional optimization methods …