To sustain the complexity of growing demand, the conventional grid (CG) is incorporated
with communication technology like advanced metering with sensors, demand response …

The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and
downs in the market price, and controlling different loads, are challenging points in …

Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …

Recently, numerous significant advances in control methods have been made in Microgrid
development especially in grid-connected mode to ensure a reliable and sustainable …

This study proposes multi-objective tuna swarm optimization through multi-objective
transformation, initialization improvement and population variation for active distribution …

The optimal combination of power distribution feeder reconfiguration (PDFR) with distributed
generators (DGs) is one of the most attractive combinatorial optimization issues. This paper …

Abstract The Football Optimization Algorithm (FbOA) is introduced as a novel population-
based metaheuristic optimization technique inspired by the dynamic strategies of a football …

In view of scarcity of traditional energy resources and environmental issues, renewable
energy resources (RERs) are introduced to fulfill the electricity requirement of growing world …

The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …

In the past few years, the application and research community has expressed a lot of interest
in managing energy and power while using distributed generation systems. Electricity …