The optimal power flow is an important problem of power systems in which certain control
variables are adjusted to minimize an objective function such as the cost of active power …

This paper presents an efficient and reliable evolutionary-based approach to solve the
optimal power flow (OPF) problem. The proposed approach employs particle swarm …

In power systems, the Optimal Power Flow (OPF) problem is considered as the majority
extensively nonlinear optimization problems. This work presents a new hybrid optimization …

Optimal power flow (OPF) is one of the nonlinear problems of power system. The various
algorithms for solving optimal power flow problem are found in the literature. The genetic …

This paper presents an efficient and reliable evolutionary-based approach to obtain optimal
power flow (OPF) problem solution. The approach employs a nature inspired meta heuristic …

This paper presents an efficient and reliable evolutionary-based approach to solve the
optimal power flow (OPF) problem. The proposed approach employs differential evolution …

Optimal Power Flow (OPF) is one of the most effective tools used for the accurate analysis of
power systems. This paper describes OPF based on Particle Swarm Optimization (PSO) …

This paper presents a new hybrid algorithm based on the Particle Swarm Optimization
(PSO) and the Shuffle Frog Leaping algorithms (SFLA) for solving the Optimal Power Flow …

Abstract Optimization of Power Flow (OPF) is a notable key tool pertinent to power system
process, in both setting up and working phases and it is structured for a specific objective to …

The optimal power flow (OPF) is an important technique for optimizing the control
parameters of modern power systems by taking into account the desired objective functions …