This paper presents various approaches used by researchers for handling the uncertainties
involved in renewable energy sources, load demands, etc. It gives an idea about stochastic …

The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system
operation and planning, since OPF methods are utilized for finding the optimal state of any …

The optimal power flow (OPF) problem is nonconvex and generally hard to solve. In this
paper, we propose a semidefinite programming (SDP) optimization, which is the dual of an …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

We consider a general multi-agent convex optimization problem where the agents are to
collectively minimize a global objective function subject to a global inequality constraint, a …

Many areas in power systems require solving one or more nonlinear optimization problems.
While analytical methods might suffer from slow convergence and the curse of …

A concept is presented along with the overarching structure of the virtual power plant (VPP),
the primary vehicle for delivering cost efficient integration of distributed energy resources …

This paper addresses the main challenges to the security constrained optimal power flow
(SCOPF) computations. We first discuss the issues related to the SCOPF problem …

This paper presents a new and efficient method for solving optimal power flow (OPF)
problem in electric power systems. In the proposed approach, artificial bee colony (ABC) …

This paper presents an enhanced genetic algorithm (EGA) for the solution of the optimal
power flow (OPF) with both continuous and discrete control variables. The continuous …