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 …

This paper presents the application of an improved stochastic fractal search algorithm
(ISFSA) for optimizing five single objectives of optimal power flow (OPF) problem and …

An improved stochastic fractal search algorithm (ISFS) and a modified cost function are
proposed in this paper to skillfully handle the issue of automatic generation control (AGC) of …

The stochastic fractal search (SFS) algorithm, among population-based metaheuristic
automation algorithms, is a robust optimization algorithm for solving optimization problems …

Integrating renewable energy sources (RESs) into modern electric power systems offers
various techno-economic benefits. However, the inconsistent power profile of RES …

In the power system operation, the reduction of the power loss in distribution systems has
significance in the reduction of operating cost. In this paper, a novel chaotic stochastic fractal …

Nowadays, the increasing usage of renewable energy sources (RES) in modern power
systems introduces new challenges in power system planning and operation. Specifically, a …

A hybrid energy system (HES) is a perfect option for supplying electric energy to remote
areas. A HES normally uses renewable energy sources such as wind and PV. Owing to the …

In today's technology, solar energy continues to be one of the leading renewable energy
sources in electricity production methods due to its abundance on the Earth's surface and its …

Here, a new approach is proposed for solving the optimal power flow (OPF) problem in
transmission networks using a Gradient Bald Eagle Search Algorithm (GBES) with a Local …