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 algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

Generations from several sources in an electrical network are to be optimally scheduled for
economical and efficient operation of the network. Optimal power flow problem is formulated …

The classical optimal power flow problem is usually formulated with only thermal generators,
in which the fuel used to generate power is limited and emissions from the network system …

This paper proposes a novel grouped grey wolf optimizer to obtain the optimal parameters of
interactive proportional-integral controllers of doubly-fed induction generator based wind …

With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …

The hybrid model of the power system infrastructure is an essential part of the sophisticated
technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem …

Optimal power flow (OPF) is one of the challenging optimization problems in power domain.
The complexity of the problem escalates with incorporation of uncertain and intermittent …

Today's electrical power system became more complex interconnected network that is
expanding every day. The transmission lines of the power system are more severely loaded …

Today's electricity grid is rapidly evolving, with increased penetration of renewable energy
sources (RES). Conventional Optimal Power Flow (OPF) has non-linear constraints that …