A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

Today's electrical power system is a complicated network that is expanding rapidly. The
power transmission lines are more heavily loaded than ever before, which causes a host of …

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 …

This article applies the grey wolf optimizer and differential evolution (DE) algorithms to solve
the optimal power flow (OPF) problem. Both algorithms are used to optimize single objective …

This paper formulates the optimal power flow (OPF) problem with the consideration of
minimizing many objective functions including the basic fuel cost, fuel cost with valve-point …

The paper proposes a novel improved social spider optimization algorithm (NISSO) for
solving optimal power flow (OPF) problem to independently optimize electricity generation …

This paper proposes a novel optimal power management approach for plug-in hybrid
electric vehicles against uncertain driving conditions. To optimize the threshold parameters …

In this paper, a simple and efficient nature inspired search method based on differential
search algorithm (DSA) has been presented and used for optimal power flow (OPF) problem …