Results 91 to 100 of about 6,414 (217)

Optimized Asymmetrical Fuzzy‐2DOFTIDF Controller for LFC of Three‐Area Multi‐Sources Interconnected Power System Along With HAE‐FC and UPFC Using a New SOA Algorithm

Energy Science &Engineering, Volume 14, Issue 2, Page 866-886, February 2026.
This study proposes a novel Asymmetrical‐Fuzzy Two‐Degree‐of‐Freedom Tilt‐Integral‐Derivative (AF‐2DOF‐TIDF) controller for load frequency control in a multi‐area, multi‐source power system integrating Hydrogen‐Aqua‐Electrolyzer‐Fuel‐Cell (HAE‐FC) units and a Unified Power Flow Controller (UPFC).
Getaneh Mesfin Meseret, M. Bala Anand
wiley   +1 more source

Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots [PDF]

, 2020
This paper proposes two applications of Grey Wolf Optimizer (GWO) algorithms to a path planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem.
David, Radu-Codrut, Petriu, Emil M., Precup, Radu-Emil, Roman, Raul-Cristian, Szedlak-Stinean, Alexandra-Iulia, Tomescu, Marius L., Voisan, Emil-Ioan   +6 more
core   +1 more source

Sustainable Energy Management in Islanded Microgrids via HHO–BE Tuned Adaptive Controllers and Demand‐Side Flexibility

Engineering Reports, Volume 8, Issue 1, January 2026.
This research presents a novel approach to frequency control in isolated hybrid microgrids by developing an adaptive fractional‐order PI controller. The controller is optimized using the Harris Hawks Optimization algorithm, enhanced with the Balloon Effect (HHO + BE), to ensure high precision and adaptability.
Mohamed Tarek Mohamed, I. M. Elzein, Ali M. El‐Rifaie, Mohamed Metwally Mahmoud, Alfian Ma'arif, Daniel Eutyche Mbadjoun Wapet, Tarek Hassan Mohamed, Vojtech Blazek, Shazly Nasser Fahmy   +8 more
wiley   +1 more source

Grey Wolf Optimizes Mixed Parameter Multi-Classification Twin Support Vector Machine

Jisuanji kexue yu tansuo, 2020
Twin support vector machine (TWSVM) is an efficient binary classification algorithm based on support vector machine (SVM). Since most of the problems in reality are multi-classified, it is very important to extend binary classification twin support ...
ZHOU Guangyue, LI Kewen, LIU Wenying, SU Zhaoxin
doaj   +1 more source

IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) UNTUK PEMODELAN INVERSI 1D DATA MAGNETOTELLURIK

Jurnal Geosaintek
Magnetotellurik (MT) merupakan metode geofisika pasif yang memanfaatkan variasi medan elektromagnetik alami untuk memetakan struktur resistivitas bawah permukaan bumi. Metode ini mampu menjangkau kedalaman hingga puluhan kilometer dan sensitif terhadap kontras resistivitas, sehingga banyak digunakan dalam eksplorasi sumber daya alam seperti geotermal ...
Wahyu Eko Junian, Rifa Prima Adilla, Selvi Misnia Irawati   +2 more
openaire   +1 more source

Enhancing Hybrid Microgrid Dynamics Using an Agent‐Based Reinforcement Learning (RL) Framework

Energy Science &Engineering, Volume 14, Issue 1, Page 144-162, January 2026.
Overview of (RL) framework ABSTRACT Hybrid microgrids, integrating renewable, and conventional energy sources are critical for sustainable and resilient power systems. Their dynamic performance is affected by uncertainties in load demand, generation variability, and control strategies.
Sudhakiran Ponnuru, Vendoti Suresh, B. Krishnaveni, Ravindra S., Venkateshmurthy B. S., M. Satyanarayana Gupta, K. Aravinda, M. J. D. Ebinezer, S. Prabhakar   +8 more
wiley   +1 more source

Enhancing MPPT Performance Using Adaptive Population Size and Run Length Distribution Analysis: A Simulation and Experimental Study

Energy Science &Engineering, Volume 14, Issue 1, Page 186-200, January 2026.
Direct duty‐cycle modulation for fast Maximum Power Point tracking under partial shading conditions. Social only Particle Swarm Optimization (PSO) variant with Adaptive swarm size and overlapping condition balances exploration and exploitation. Run‐length distribution (RLD) analysis confirms robustness: 100% success rate across 100 runs.
Saba Javed, Kashif Ishaque, Saqib Jamshed Rind, Jonathan Shek   +3 more
wiley   +1 more source

Improving maximum power point tracking efficiency in solar photovoltaic systems using super‐twisting algorithm and grey wolf optimizer

IET Renewable Power Generation
This study presents a new Maximum Power Point Tracking (MPPT) approach for solar photovoltaic (PV) systems, combining the Super‐Twisting Algorithm (STA) and Grey Wolf Optimizer (GWO).
Nassir Deghfel, Abd Essalam Badoud, Ahmad Aziz Al‐Ahmadi, Mohit Bajaj, Ievgen Zaitsev, Sherif S. M. Ghoneim   +5 more
doaj   +1 more source

A Hybrid Grey Wolf Optimizer–Zebra Optimization Algorithm for Solving Optimization Problems

Jambura Journal of Mathematics
Metaheuristic algorithms are widely applied to complex optimization problems, yet many suffer from premature convergence or slow search efficiency.
Ayad Ali
doaj   +1 more source

Grey Wolf Optimizer Based on Variable Population and Strategy for Moving Target Search Using UAVs

Drones
Unmanned aerial vehicles (UAVs) are increasingly favored for emergency search and rescue operations due to their high adaptability to harsh environments and low operational costs. However, the dynamic nature of search path endpoints, influenced by target
Ziyang Li, Zhenzu Bai, Bowen Hou
doaj   +1 more source