A
Ahmed R. Ginidi
Researcher at Suez University
Publications - 47
Citations - 737
Ahmed R. Ginidi is an academic researcher from Suez University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 7, co-authored 17 publications receiving 100 citations.
Papers
More filters
Journal ArticleDOI
A Forensic-Based Investigation Algorithm for Parameter Extraction of Solar Cell Models
TL;DR: In this article, a new application of the Forensic-Based Investigation Algorithm (FBIA), which is a new meta-heuristic optimization technique, is introduced to accurately extract the electrical parameters of different PV models.
Journal ArticleDOI
Effective Automation of Distribution Systems With Joint Integration of DGs/ SVCs Considering Reconfiguration Capability by Jellyfish Search Algorithm
TL;DR: In this paper, an efficient and robust technique based on Jellyfish Search Algorithm (JFSA) for optimal Volt/VAr coordination in ADSs based on joint distribution system reconfiguration (DSR), distributed generation units (DGs) integration and Distribution static VAr compensators (SVCs) operation is proposed.
Journal ArticleDOI
Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer
Mokhtar Said,Abdullah M. Shaheen,Ahmed R. Ginidi,Ragab A. El-Sehiemy,Karar Mahmoud,Matti Lehtonen,Mohamed M. F. Darwish +6 more
TL;DR: The findings show a high closeness between the estimated power–voltage (P–V) and current–voltages (I-V) curves achieved by the proposed TFWO compared with the experimental data as well as the competitive optimization algorithms, thanks to the effectiveness of the developed T FWO solution mechanism.
Journal ArticleDOI
Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems
Ahmed R. Ginidi,Sherif M. Ghoneim,Abdallah M. Elsayed,Ragab A. El-Sehiemy,Abdullah M. Shaheen,Attia A. El-Fergany +5 more
TL;DR: A new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created and its efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E−16, and 1E −6, respectively.
Journal ArticleDOI
A novel improved marine predators algorithm for combined heat and power economic dispatch problem
Ragab A. El-Sehiemy,Abdullah M. Shaheen,Abdallah M. Elsayed,Ahmed R. Ginidi,Ragab A. El-Sehiemy,Mosleh M. Alharthi,Sherif S. M. Ghoneim +6 more
TL;DR: In this paper, an improved marine predators' optimization algorithm (IMPOA) was proposed for solving the combined heat and power (CHP) economic dispatch problem, which pursues to minimize the overall fuel cost (OFC) supply of cogeneration units considering their operational constraints.