<p>This article uses one of the newest and efficient meta-heuristic optimization algorithms inspired from nature called salp swarm algorithm (SSA). It imitates exploring foraging behavior salps in oceans. SSA is proposed for parameters tuning speed controller brushless DC (BLDC) motor to achieve best performance. The suggested work modeling control scheme done using MATLAB/Simulink coding...

This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...

The optimal location of renewable distributed generations (DGs) into a radial distribution system (RDS) has attracted major concerns from power researchers in the present years. main target DG integration is to improve overall performance by minimizing losses and improving voltage profile. Hence, this paper proposed hybrid approach between an analytical metaheuristic optimization technique for ...

In recent years, several high-performance nature-inspired metaheuristic algorithms have been proposed. It is important to study and compare the convergence, computational burden statistical significance of these metaheuristics aid future developments. This focuses on six metaheuristics, namely, ant lion optimization (ALO), arithmetic algorithm (AOA), dragonfly (DA), grey wolf optimizer (GWO), s...

Solar photovoltaic (SPV) power penetration in dispersed generation systems is constantly rising. Due to the elevated SPV causing a lot of problems system stability, sustainability, reliable electricity production, and quality, it critical forecast using climatic parameters. The suggested model built with meteorological conditions as input parameters, effects such variables on predicted have bee...

This study proposes a duty cycle-based direct search method that capitalizes on bioinspired optimization algorithm known as the salp swarm (SSA). The goal is to improve tracking capability of maximum power point (MPP) controller for optimum extraction from photovoltaic system under dynamic environmental conditions. performance proposed SSA tested transition between uniform irradiances and parti...

This research proposes an efficient energy management system for standalone and grid-connected direct current (DC) distribution networks that consider photovoltaic (PV) generation sources. A complete nonlinear programming model is formulated to represent the PV dispatch problem while taking three different objective functions into account. The first function corresponds minimization of operatio...

Abstract Hunger Games Search (HGS) is a newly developed swarm-based algorithm inspired by the cooperative behavior of animals and their hunting strategies to find prey. However, HGS has been observed exhibit slow convergence may struggle with unbalanced exploration exploitation phases. To address these issues, this study proposes modified version called mHGS, which incorporates five techniques:...