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Grey Wolf optimization based power management strategy for battery storage of dfig-wecs in standalone operating mode
Published 2023“…Battery management systems; Battery storage; Electric batteries; Electric fault currents; Electric load flow; Electric power generation; Energy conversion; Energy management systems; Heuristic algorithms; Optimization; Wind; Wind power; Battery power managements; Bidirectional converter (BDC); Doubly fed induction generator (DFIG); Doubly Fed Induction generators (DFIG); Stand-alone modes; Wind energy conversion system; Wind energy systems; Wind power generation systems; Asynchronous generators…”
Conference Paper -
2
An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
Published 2014“…Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey wolves (Canis Lupus). …”
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Article -
3
Optimal tuning of virtual inertia control for frequency regulation of microgrid
Published 2024“…The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer. © 2021 IEEE.…”
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Grey wolf optimizer for solving economic dispatch problem with valve-loading effects
Published 2015“…The recent SI algorithm namely Grey Wolf Optimizer (GWO) will be utilized in this paper. …”
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5
Dynamic Economic Dispatch For Large Scale Power Systems: A Lagrangian Relaxation Approach
Published 1991“…The solution algorithm is based on Lagrangian relaxation and on exploiting the intimate relationship between optimizing the dual Lagrangian function and Dantzig-Wolfe decomposition. …”
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Optimization and Control of Economic Dispatch for Power Systems
Published 1993“…This paper presents a model and a solution scheme for optimizing and control of an economic and secure dispatch system for power systems. …”
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Conference or Workshop Item -
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Grey wolf optimization and differential evolution-based maximum power point tracking controller for photovoltaic systems under partial shading conditions
Published 2022“…To track the global maximum peak power (GMPP) instead of local maxima peak power (LMPP), the combination of gray wolf optimization (GWO) and differential evolution (DE) algorithm is hybridized (GWO-DE) in this work. …”
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Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
Published 2024text::Final Year Project -
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Recent methodology based Harris Hawks optimizer for designing load frequency control incorporated in multi-interconnected renewable energy plants
Published 2023“…Different cases of load disturbance are studied, and the obtained results via the HHO are compared to Sine Cosine Algorithm (SCA), Multi-verse optimizer (MVO), Antlion Optimizer (ALO), and Grey wolf optimizer (GWO) as well as traditional controller. …”
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Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control
Published 2024“…This paper proposes the utilization of an Improved gray Wolf Optimization (IGWO) algorithm-based H-infinity (H∞) control approach to enhance traditional droop control techniques and address instability concerns. …”
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Oscillations damping and stability improvement of solar photo-voltaic cell and battery energy storage system connected to a D.C. microgrid using metaheuristic optimized PID control...
Published 2023“…For this, Met heuristic Optimization based Proportional Integral and Derivative (MOPID) controllers like Whale Optimization Algorithm (WOA) and Grey-Wolf Optimization (GWO) algorithms are compared to show the effectiveness of the operation. …”
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Energy management system for optimal operation of microgrid consisting of PV, fuel cell and battery / Shivashankar Sukumar
Published 2017“…The BESS sizing problem is solved using grey wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA), and genetic algorithm (GA). …”
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Thesis -
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The superiority of feasible solutions-moth flame optimizer using valve point loading
Published 2024“…The MFO, Grey Wolf Optimizer (GWO), Success-history-based Parameter Adaptation Technique of Differential Evolution - Superiority of Feasible Solutions (SHADE-SF), and Superiority of Feasible Solutions-Moth Flame Optimizer (SF-MFO) algorithms are applied to address the OPF problem with two objective functions: (1) reducing energy production costs and (2) minimizing power losses. …”
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Energy-efficient routing using novel optimization with Tabu techniques for Wireless Sensor Network
Published 2022“…In the proposed method, a novel Grey Wolf Improved Particle Swarm Optimization with Tabu Search Techniques (GW-IPSO-TS) was used. …”
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High impedance fault detection and localization in 11kV distribution system / Mohd Syukri Ali
Published 2018“…In this process, the grey wolf optimization (GWO) technique is adopted in order to provide the optimal value of ANN parameters. …”
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Thesis -
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A new teaching learning artificial bee colony based maximum power point tracking approach for assessing various parameters of photovoltaic system under different atmospheric condit...
Published 2024“…Hence, to optimize the cost of integrating RES‘s through newly developed maximum power point tracking (MPPT) based optimization method such as grasshopper optimization algorithm (GOA) has been introduced. …”
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Thesis -
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Robust multi-user detection based on hybrid grey wolf optimization
Published 2020“…The simulation results show that the iteration times of the multi-user detector based on the proposed algorithm is less than that of genetic algorithm, differential evolution algorithm and Grey wolf optimization algorithm, and has the lower BER.…”
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Book Chapter -
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Opposition Based Competitive Grey Wolf Optimizer For EMG Feature Selection
Published 2020“…Moreover, another new variant of CGWO, namely opposition based competitive grey wolf optimizer (OBCGWO), is proposed to enhance the performance of CGWO in feature selection. …”
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A Hybrid Ant-Wolf Algorithm to Optimize Assembly Sequence Planning Problem
Published 2017“…Purpose – This paper aims to optimize the assembly sequence planning (ASP) problem using a proposed hybrid algorithm based on Ant Colony Optimization (ACO) and Gray Wolf Optimizer (GWO). …”
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