Electric power system applications are intricate optimization problems. Most literature
reviews focus on studying an electrical paradigm through different optimization techniques …

The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …

In this study, the authors propose the Enhanced Wombat Optimization Algorithm (EWOA) as
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …

The major problems in the field of power system engineering can be mostly solved with the
help of the ORPD problem. Many recently developed optimization techniques have been …

Customers of electric utilities that participate in demand response are encouraged to use
less energy than they typically do in order to better balance the supply and demand for …

Across the globe, the transition towards sustainable energy systems necessitates seamless
implementation of Renewable Energy Sources (RES) into traditional power grids. Such …

Customers of electric utilities that participate in demand response are encouraged to use
less energy than they typically do in order to better balance the supply and demand for …

In this paper Enhanced African Queen Meliponula bee Mating Optimization (EAQBM)
Algorithm is applied to solve the Active power loss diminution problem. Natural attributes of …

In view of the problems caused by the high proportion of new energy grid connection, such
as large active network loss and voltage fluctuation, high reactive power cost and …