Conventional microgrids face a number of challenges due to intermittency of renewable
energy resources and the lack of any effective energy management system. Thus, there is a …

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 …

Optimal power flow (OPF) problem is a large-scale, non-convex, multi-modal, and non-linear
constrained optimization problem, which has been widely used in power system operation …

The optimal power flow (OPF) problem featured as a non-linear, non-convex, large-scale
and constrained, still remains a popular and challenging work in power systems …

This paper presents a new version of JAYA algorithm to solve the problem of optimal power
flow (OPF) incorporating renewable energy sources (RES) with four different objective …

Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

With the booming expansion of new energy such as wind and solar energy, the increasing
curtailment of new energy power has severely hindered its further development. In this …

Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …

With the rapid development of electric power industry, the problem of dispatching renewable
energy resources attracts worldwide attention. This paper presents a stochastic scheduling …

The teaching-learning-based optimizer (TLBO) algorithm is a powerful and efficient
optimization algorithm. However it is prone to getting stuck in local optima. In order to …