Ragab A. El‐Sehiemy
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View article: Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines
Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines Open
Getting a precise estimate of electric fields around extra-high-voltage (EHV) transmission lines is essential for keeping the public safe, ensuring environmental compliance, and planning infrastructure effectively. Unfortunately, tradition…
View article: Multi-objective transit search optimizer for dynamic reconfiguration of standard and realistic radial distribution networks with hosted renewables and EV charging stations
Multi-objective transit search optimizer for dynamic reconfiguration of standard and realistic radial distribution networks with hosted renewables and EV charging stations Open
The expansion of electric vehicle (EV) adoption, seasonal changes in power demand, and the adoption of renewable energy sources (RES) have posed new, intricate operational problems within distribution networks. These include additional pow…
View article: Multistage prediction approach of EVs charging performance in smart transportation systems by deep learning technique
Multistage prediction approach of EVs charging performance in smart transportation systems by deep learning technique Open
View article: Detection of Harmonic and Interharmonics Contents in Water Desalination Plants' Distribution System Based on Deep Learning Algorithms
Detection of Harmonic and Interharmonics Contents in Water Desalination Plants' Distribution System Based on Deep Learning Algorithms Open
Water desalination plants are significant consumers of electric power, making them some of the largest energy users in power grids. Their electricity consumption presents an urgent challenge for efficient and sustainable operation, and the…
View article: Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks
Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks Open
Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced system efficiency and resilience. However, their operation is often challenged by the need for techno-economic trade-offs and the uncertai…
View article: Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm
Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm Open
In modern power engineering, the optimal operation aims to achieve the basic requirements of the electrical power grid, meet various technical and economic aspects, and preserve the environmental limits within their accepted bounds. In thi…
View article: A proposed wavelet analysis based fault diagnosis scheme of power transformers using fault signatures and CT saturation
A proposed wavelet analysis based fault diagnosis scheme of power transformers using fault signatures and CT saturation Open
Diagnosis of concealed internal faults within power transformer is a key for high grid reliability to ensure continuity of power supply to customers. One of the urgent situations of power transformer is the faults under CT saturation and t…
View article: Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm
Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm Open
View article: Adaptive Speed Tuning of Permanent Magnet Synchronous Motors Using Intelligent Fuzzy Based Controllers for Pumping Applications
Adaptive Speed Tuning of Permanent Magnet Synchronous Motors Using Intelligent Fuzzy Based Controllers for Pumping Applications Open
This study focuses on enhancing the performance of Permanent Magnet Synchronous Motors (PMSMs) in pumping applications by improving motor torque through the integration of advanced control strategies. The dq-axis model of a PMSM is utilize…
View article: High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system
High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system Open
The control of a dc motor drive system is performed using two Proportional-Integral (PI) controllers, mostly comprising the outer (speed) and inner (torque) loops. However, the tuning of the PI controllers is challenging, because of the si…
View article: Optimal parameter extraction of equivalent circuits for single- and three- phase Power transformers based on arctic puffin algorithm accomplished with experimental verification
Optimal parameter extraction of equivalent circuits for single- and three- phase Power transformers based on arctic puffin algorithm accomplished with experimental verification Open
The power transformer is a critical device in power systems. This paper addresses one of the major problems which hopes to enhance the accuracy of estimation of parameters, which is critical in power transformer modeling, maintenance, and …
View article: Optimal allocation of distributed generation units and fast electric vehicle charging stations for sustainable cities
Optimal allocation of distributed generation units and fast electric vehicle charging stations for sustainable cities Open
The rise of electric vehicles (EVs) in sustainable cities has fuelled interest in Distributed Generation (DG) units allocation. A well-planned and efficient charging infrastructure is required for effective e-mobility. The paper examined t…
View article: Accurate harmonics mitigation for water desalination plant supplied by multi-energy sources based on deep learning algorithms
Accurate harmonics mitigation for water desalination plant supplied by multi-energy sources based on deep learning algorithms Open
This research concerns the water desalination plant supplied by multi-energy sources to reduce production costs and minimize environmental impact. The multi-energy system has solar modules added to the grid sources. Adaptive modeling of wa…
View article: Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer
Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer Open
View article: Performance Analysis Associated with Experimental Verification of Innovative Poly Lactic Acid Material Developed by Fused Deposition Modeling with Quantitively Filling Strategies
Performance Analysis Associated with Experimental Verification of Innovative Poly Lactic Acid Material Developed by Fused Deposition Modeling with Quantitively Filling Strategies Open
View article: Solving Optimal Power Flow Using New Efficient Hybrid Jellyfish Search and Moth Flame Optimization Algorithms
Solving Optimal Power Flow Using New Efficient Hybrid Jellyfish Search and Moth Flame Optimization Algorithms Open
This paper presents a new optimization technique based on the hybridization of two meta-heuristic methods, Jellyfish Search (JS) and Moth Flame Optimizer (MFO), to solve the Optimal Power Flow (OPF) problem. The JS algorithm offers good ex…
View article: Parameter extraction of proton exchange membrane fuel cell based on artificial rabbits’ optimization algorithm and conducting laboratory tests
Parameter extraction of proton exchange membrane fuel cell based on artificial rabbits’ optimization algorithm and conducting laboratory tests Open
Proton exchange membrane fuel cell (PEMFC) parameter extraction is an important issue in modeling and control of renewable energies. The PEMFC problem’s main objective is to estimate the optimal value of unknown parameters of the electroch…
View article: Advanced extraction of PV parameters’ models based on electric field impacts on semiconductor conductivity using QIO algorithm
Advanced extraction of PV parameters’ models based on electric field impacts on semiconductor conductivity using QIO algorithm Open
View article: Optimal sizing and siting of single tunned passive filter based on jellyfish algorithm
Optimal sizing and siting of single tunned passive filter based on jellyfish algorithm Open
The presence of electrical harmonics in low voltage networks causes many problems for customers, the most important of which is the decrease in the power quality beyond the permissible limits, which leads to a decrease in voltage for…
View article: A Fuzzy Logic Based Maximum Power Point Tracking of PV Systems Supplying Remote Sensing Devices of Two Units Cube Satellite Applications
A Fuzzy Logic Based Maximum Power Point Tracking of PV Systems Supplying Remote Sensing Devices of Two Units Cube Satellite Applications Open
The primary goals of remote sensing of satellites are extending their lifetime, improving their resolution, decreasing the cost and corresponding weight. Using the maximum power point tracking (MPPT) technique can help to achieve the prima…
View article: Efficient economic operation based on load dispatch of power systems using a leader white shark optimization algorithm
Efficient economic operation based on load dispatch of power systems using a leader white shark optimization algorithm Open
This article proposes the use of a leader white shark optimizer (LWSO) with the aim of improving the exploitation of the conventional white shark optimizer (WSO) and solving the economic operation-based load dispatch (ELD) problem. The ELD…
View article: Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm
Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm Open
Robust reliability Generation Expansion Planning (GEP) turns out to be a crucial step for an efficient energy management system in a modern power grid, especially under renewable energy employment. The integration of all such components in…
View article: Multi-Objective Optimal Allocation of Hybrid Photovoltaic Distributed Generators and Distribution Static Var Compensators in Radial Distribution Systems Using Various Optimization Algorithms
Multi-Objective Optimal Allocation of Hybrid Photovoltaic Distributed Generators and Distribution Static Var Compensators in Radial Distribution Systems Using Various Optimization Algorithms Open
In recent years, considerable growth was about the integration of renewable energy sources in the Radial Distribution Systems (RDS), as Photovoltaic Distributed Generators (PVDG) due to their importance in achieving plenty desired technica…
View article: Adaptive War Strategy Optimizer for Parameter Estimation of Solar Photovoltaic Models Under Different Climate Changes
Adaptive War Strategy Optimizer for Parameter Estimation of Solar Photovoltaic Models Under Different Climate Changes Open
View article: Mitigating Uncertainty Problems of Renewable Energy Resources Through Efficient Integration of Hybrid Solar PV/Wind Systems Into Power Networks
Mitigating Uncertainty Problems of Renewable Energy Resources Through Efficient Integration of Hybrid Solar PV/Wind Systems Into Power Networks Open
In recent years, there has been a proliferation of studies focusing on sustainable energy sources aimed at delivering reliable power with reduced greenhouse gas emissions. Among these endeavors, electrification of urban areas through incor…
View article: Accurate Identification of Harmonic Distortion for Micro-Grids Using Artificial Intelligence-Based Predictive Models
Accurate Identification of Harmonic Distortion for Micro-Grids Using Artificial Intelligence-Based Predictive Models Open
This paper proposes an accurate harmonic identification strategy for microgrids and distributed power systems. The harmonic identification strategy is one of the complex tasks in microgrids due to the need of high computational burden in t…
View article: Optimizing Multi-Layer Perovskite Solar Cell Dynamic Models with Hysteresis Consideration Using Artificial Rabbits Optimization
Optimizing Multi-Layer Perovskite Solar Cell Dynamic Models with Hysteresis Consideration Using Artificial Rabbits Optimization Open
Perovskite solar cells (PSCs) exhibit hysteresis in their J-V characteristics, complicating the identification of appropriate electrical models and the determination of the maximum power point. Given the rising prominence of PSCs due to th…
View article: Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers
Improved Tasmanian devil optimization algorithm for parameter identification of electric transformers Open
Tasmanian devil optimization (TDO) algorithm represents one of the most recent optimization algorithms that were introduced based on the nature behavior of Tasmanian devil behavior. However, as a recent optimizer, its performance may provi…
View article: Solving the Optimal Power Flow Problem in Power Systems Using the Mountain Gazelle Algorithm
Solving the Optimal Power Flow Problem in Power Systems Using the Mountain Gazelle Algorithm Open
Optimal power flow (OPF) is one of the fundamental mathematical tools currently used to operate power systems within the technical limits of the transmission power system. To determine OPF, a highly non-linear complex problem, it is essent…
View article: An enhanced optimizer of social network search for multi-dimension optimal power flow in electrical power grids
An enhanced optimizer of social network search for multi-dimension optimal power flow in electrical power grids Open
This paper presents an enhanced computational optimizer of the Social Network Search Technique (ESNST) for multi-dimension Optimal Power Flow (OPF) in Electrical Power Grids (EPGs). The SNST is motivated by social network users who have va…