Ahmed R. Ginidi
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View article: A novel Kangaroo Escape Algorithm for efficient combined heat and power economic dispatch: Feasibility analysis and validations
A novel Kangaroo Escape Algorithm for efficient combined heat and power economic dispatch: Feasibility analysis and validations Open
View article: Fractional order PID controller tuned-artificial Protozoa optimiser for LFR in multi-area interconnected power systems
Fractional order PID controller tuned-artificial Protozoa optimiser for LFR in multi-area interconnected power systems Open
View article: Fractional Order <scp>PID</scp> Controller Based‐Neural Network Algorithm for <scp>LFC</scp> in Multi‐Area Power Systems
Fractional Order <span>PID</span> Controller Based‐Neural Network Algorithm for <span>LFC</span> in Multi‐Area Power Systems Open
Modern power systems are increasingly challenged by frequency stability issues due to dynamic load variations and the growing complexity of interconnected networks. Traditional PID controllers, while widely utilized, struggle to address th…
View article: Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems
Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems Open
Optimizing power systems is a crucial task nowadays for cost-effective operations that ensure profitability for providers and affordability for consumers. Also, efforts are directed toward harmonizing economic objectives with environmental…
View article: An Improved Bio-Inspired Material Generation Algorithm for Engineering Optimization Problems Including PV Source Penetration in Distribution Systems
An Improved Bio-Inspired Material Generation Algorithm for Engineering Optimization Problems Including PV Source Penetration in Distribution Systems Open
The Material Generation Optimization (MGO) algorithm is an innovative approach inspired by material chemistry which emulates the processes of chemical compound formation and stabilization to thoroughly explore and refine the parameter spac…
View article: Simultaneous Allocation of PV Systems and Shunt Capacitors in Medium Voltage Feeders Using Quadratic Interpolation Optimization‐Based Gaussian Mutation Operator
Simultaneous Allocation of PV Systems and Shunt Capacitors in Medium Voltage Feeders Using Quadratic Interpolation Optimization‐Based Gaussian Mutation Operator Open
This study introduces an enhanced version of quadratic interpolation optimization (QIO) merged with Gaussian mutation (GM) operator for optimizing photovoltaic (PV) units and capacitors within distribution systems, addressing practical con…
View article: An improved Kepler optimization algorithm for module parameter identification supporting PV power estimation
An improved Kepler optimization algorithm for module parameter identification supporting PV power estimation Open
View article: Chemical-Inspired Material Generation Algorithm (MGA) of Single- and Double-Diode Model Parameter Determination for Multi-Crystalline Silicon Solar Cells
Chemical-Inspired Material Generation Algorithm (MGA) of Single- and Double-Diode Model Parameter Determination for Multi-Crystalline Silicon Solar Cells Open
The optimization of solar photovoltaic (PV) cells and modules is crucial for enhancing solar energy conversion efficiency, a significant barrier to the widespread adoption of solar energy. Accurate modeling and estimation of PV parameters …
View article: An innovative bio-inspired Aquila technique for efficient solution of combined power and heat economic dispatch problem
An innovative bio-inspired Aquila technique for efficient solution of combined power and heat economic dispatch problem Open
In the field of power systems, the optimization challenge of combined heat and power units economic dispatch (CHPUED) holds immense importance. This study presents an improved Aquila optimization technique (IAQT) that effectively tackles t…
View article: A Fractional Order-Kepler Optimization Algorithm (FO-KOA) for single and double-diode parameters PV cell extraction
A Fractional Order-Kepler Optimization Algorithm (FO-KOA) for single and double-diode parameters PV cell extraction Open
View article: Developing artificial hummingbird algorithm with linear controlling strategy and diversified territorial foraging tactics for combined heat and power dispatch
Developing artificial hummingbird algorithm with linear controlling strategy and diversified territorial foraging tactics for combined heat and power dispatch Open
Economic Dispatch (ED) in Combined Heat and Power Systems (CHPSs) is critical for optimising fuel costs while managing Power-Only (PO), CHP, and Heat-Only (HO) stations. Robust optimisation strategies are necessary to tackle the growing no…
View article: Enhanced power grid performance through Gorilla Troops Algorithm-guided thyristor controlled series capacitors allocation
Enhanced power grid performance through Gorilla Troops Algorithm-guided thyristor controlled series capacitors allocation Open
This article introduces an innovative application of the Enhanced Gorilla Troops Algorithm (EGTA) in addressing engineering challenges related to the allocation of Thyristor Controlled Series Capacitors (TCSC) in power grids. Drawing inspi…
View article: Enhanced Kepler Optimization Method for Nonlinear Multi-Dimensional Optimal Power Flow
Enhanced Kepler Optimization Method for Nonlinear Multi-Dimensional Optimal Power Flow Open
Multi-Dimensional Optimal Power Flow (MDOPF) is a fundamental task in power systems engineering aimed at optimizing the operation of electrical networks while considering various constraints such as power generation, transmission, and dist…
View article: Modified Rime-Ice Growth Optimizer with Polynomial Differential Learning Operator for Single- and Double-Diode PV Parameter Estimation Problem
Modified Rime-Ice Growth Optimizer with Polynomial Differential Learning Operator for Single- and Double-Diode PV Parameter Estimation Problem Open
A recent optimization algorithm, the Rime Optimization Algorithm (RIME), was developed to efficiently utilize the physical phenomenon of rime-ice growth. It simulates the hard-rime and soft-rime processes, constructing the mechanisms of ha…
View article: Enhanced Artificial Rabbits Algorithm Integrating Equilibrium Pool to Support PV Power Estimation via Module Parameter Identification
Enhanced Artificial Rabbits Algorithm Integrating Equilibrium Pool to Support PV Power Estimation via Module Parameter Identification Open
This paper proposes a novel innovative version of enhanced artificial rabbit optimization (EARO) algorithm integrating an equilibrium pool (EP) that consists of the best solutions. Furthermore, the detour foraging and hiding mechanisms are…
View article: A Novel Mantis Search Algorithm for Economic Dispatch in Combined Heat and Power Systems
A Novel Mantis Search Algorithm for Economic Dispatch in Combined Heat and Power Systems Open
Economic dispatch in combined heat and power (CHP) schemes takes into account the trade-off between generating electricity and producing heat, ensuring that the system operates at the highest level of efficiency and cost-effectiveness. A M…
View article: Kepler Algorithm for Large-Scale Systems of Economic Dispatch with Heat Optimization
Kepler Algorithm for Large-Scale Systems of Economic Dispatch with Heat Optimization Open
Combined Heat and Power Units Economic Dispatch (CHPUED) is a challenging non-convex optimization challenge in the power system that aims at decreasing the production cost by scheduling the heat and power generation outputs to dedicated un…
View article: Dwarf Mongoose Optimizer for Optimal Modeling of Solar PV Systems and Parameter Extraction
Dwarf Mongoose Optimizer for Optimal Modeling of Solar PV Systems and Parameter Extraction Open
This article presents a modified intelligent metaheuristic form of the Dwarf Mongoose Optimizer (MDMO) for optimal modeling and parameter extraction of solar photovoltaic (SPV) systems. The foraging manner of the dwarf mongoose animals (DM…
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…
View article: An Advanced Bio-Inspired Mantis Search Algorithm for Characterization of PV Panel and Global Optimization of Its Model Parameters
An Advanced Bio-Inspired Mantis Search Algorithm for Characterization of PV Panel and Global Optimization of Its Model Parameters Open
Correct modelling and estimation of solar cell characteristics are crucial for effective performance simulations of PV panels, necessitating the development of creative approaches to improve solar energy conversion. When handling this comp…
View article: A Subtraction-Average-Based Optimizer for Solving Engineering Problems with Applications on TCSC Allocation in Power Systems
A Subtraction-Average-Based Optimizer for Solving Engineering Problems with Applications on TCSC Allocation in Power Systems Open
The present study introduces a subtraction-average-based optimization algorithm (SAOA), a unique enhanced evolutionary technique for solving engineering optimization problems. The typical SAOA works by subtracting the average of searcher a…
View article: An Enhanced Dwarf Mongoose Optimization Algorithm for Solving Engineering Problems
An Enhanced Dwarf Mongoose Optimization Algorithm for Solving Engineering Problems Open
This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA) with an alpha-directed Learning Strategy (LS) for dealing with different mathematical benchmarking functions and engineering challenges. The DMOA’s core conce…
View article: Electrical parameters extraction of PV modules using artificial hummingbird optimizer
Electrical parameters extraction of PV modules using artificial hummingbird optimizer Open
View article: Fuel-cell parameter estimation based on improved gorilla troops technique
Fuel-cell parameter estimation based on improved gorilla troops technique Open
View article: Artificial ecosystem optimization by means of fitness distance balance model for engineering design optimization
Artificial ecosystem optimization by means of fitness distance balance model for engineering design optimization Open
Optimization techniques have contributed to significant strides in complex real-world engineering problems. However, they must overcome several difficulties, such as the balance between the capacities for exploitation and exploration and a…
View article: Development of Slime Mold Optimizer with Application for Tuning Cascaded PD-PI Controller to Enhance Frequency Stability in Power Systems
Development of Slime Mold Optimizer with Application for Tuning Cascaded PD-PI Controller to Enhance Frequency Stability in Power Systems Open
Multi-area power systems (MAPSs) are highly complex non-linear systems facing a fundamental issue in real-world engineering problems called frequency stability problems (FSP). This paper develops an enhanced slime mold optimization algorit…
View article: Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based Algorithm
Optimal Allocation of PV-STATCOM Devices in Distribution Systems for Energy Losses Minimization and Voltage Profile Improvement via Hunter-Prey-Based Algorithm Open
Incorporating photovoltaic (PV) inverters in power distribution systems via static synchronous compensators (PV-STATCOM) during the nighttime has lately been described as a solution to improve network performance. Hunter prey optimization …
View article: Single- and Multi-Objective Optimization Frameworks of Shape Design of Tubular Linear Synchronous Motor
Single- and Multi-Objective Optimization Frameworks of Shape Design of Tubular Linear Synchronous Motor Open
The shape design of the Tubular Linear Synchronous Motor (TLSM) is a critical engineeri ng optimization problem which was handled as single- and multi-objective optimization frameworks. However, the different practical constraints for the …
View article: A Gradient-Based Optimizer with a Crossover Operator for Distribution Static VAR Compensator (D-SVC) Sizing and Placement in Electrical Systems
A Gradient-Based Optimizer with a Crossover Operator for Distribution Static VAR Compensator (D-SVC) Sizing and Placement in Electrical Systems Open
A gradient-based optimizer (GBO) is a recently inspired meta-heuristic technique centered on Newton’s gradient-based approach. In this paper, an advanced developed version of the GBO is merged with a crossover operator (GBOC) to enhance th…
View article: Proportional-Integral-Derivative Controller Based-Artificial Rabbits Algorithm for Load Frequency Control in Multi-Area Power Systems
Proportional-Integral-Derivative Controller Based-Artificial Rabbits Algorithm for Load Frequency Control in Multi-Area Power Systems Open
A major problem in power systems is achieving a match between the load demand and generation demand, where security, dependability, and quality are critical factors that need to be provided to power producers. This paper proposes a proport…