The traditional optimal power flow problem (OPF) usually centers on thermal generators,
which have limited fuel for power generation, while emissions from the network system are …

Nuclear reactor control is pivotal for the safe and efficient operation of nuclear power plants,
facilitating the regulation of reactor reactivity. This study introduces an optimized fractional …

Supply chain efficiency is a major challenge in today's business environment, where efficient
resource allocation and coordination of activities are essential for competitive advantage …

The optimal power flow (OPF) is one of the most noticeable and integral tools in the power
system operation and control and aims to obtain the most economical combination of power …

The optimal power flow (OPF) problem remains a popular and challenging work in
optimizing power systems. Although researchers have suggested many optimization …

Multi-Dimensional Optimal Power Flow (MDOPF) is a fundamental task in power systems
engineering aimed at optimizing the operation of electrical networks while considering …

Metaheuristic algorithms offer numerous advantages, such as their ability to address a wide
range of problems without the need for specific problem formulations or gradient information …

In this paper, a multi-operator differential evolution algorithm (MODE) is proposed to solve
the Optimal Power Flow problem, called MODE-OPF. The MODE-OPF utilizes the strengths …

This article introduces an innovative application of the Enhanced Gorilla Troops Algorithm
(EGTA) in addressing engineering challenges related to the allocation of Thyristor …

The energy produced from various sources in modern power systems needs to be optimally
planned for scheduling and managing the power system under specific conditions. In recent …