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Attia El-Fergany,  SMIEEE
Attia El-Fergany, SMIEEE
Professor at Faculty of Engineering, Zagazig University, 44519 Zagazig, Egypt.
在 zu.edu.eg 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm
AA El-Fergany
International Journal of Electrical Power & Energy Systems 64, 1197-1205, 2015
3912015
Single and multi-objective optimal power flow using grey wolf optimizer and differential evolution algorithms
AA El-Fergany, HM Hasanien
Electric Power Components and Systems 43 (13), 1548-1559, 2015
3082015
Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer
AA El-Fergany
Renewable Energy 119, 641-648, 2018
2632018
Capacitor allocations in radial distribution networks using cuckoo search algorithm
AA El-Fergany, AY Abdelaziz
IET Generation Transmission & Distribution 8 (2), 223-232, 2014
2122014
Efficient Frequency Controllers for Autonomous Two-area Hybrid Microgrid System Using Social-Spider Optimiser
AA EL-FERGANY, M Elhameed
IET Generation Transmission & Distribution 11 (3), 637-648, 2017
1982017
Optimal capacitor allocations using evolutionary algorithms
AA El-Fergany
IET Generation Transmission & Distribution 7 (6), 593-601, 2013
1792013
Salp swarm algorithm-based optimal load frequency control of hybrid renewable power systems with communication delay and excitation cross-coupling effect
HM Hasanien, AA El-Fergany
Electric Power Systems Research 176, 105938, 2019
1592019
Electrical characterisation of proton exchange membrane fuel cells stack using grasshopper optimiser
AA El-Fergany
IET Renewable Power Generation 12 (1), 9-17, 2018
1532018
Semi-empirical PEM fuel cells model using whale optimization algorithm
AA El-Fergany, HM Hasanien, AM Agwa
Energy Conversion and Management 201, 112197, 2019
1262019
Parameter extraction of photovoltaic generating units using multi-verse optimizer
EE Ali, MA El-Hameed, AA El-Fergany, MM El-Arini
Sustainable Energy Technologies and Assessments 17, 68-76, 2016
1242016
Salp swarm optimizer to solve optimal power flow comprising voltage stability analysis
AA El-Fergany, HM Hasanien
Neural Computing and Applications 32 (9), 5267-5283, 2020
1232020
Tree-Seed Algorithm for Solving Optimal Power Flow Problem in Large-Scale Power Systems Incorporating Validations and Comparisons
AA El-Fergany, HM Hasanien
Applied Soft Computing 64, 307-316, 2018
1222018
Parameters extraction of PEMFC's model using manta rays foraging optimizer
SI Selem, HM Hasanien, AA El-Fergany
International Journal of Energy Research 44 (6), 4629-4640, 2020
1062020
Symbiotic Organisms Search Algorithm for Automatic Generation Control of Interconnected Power Systems Including Wind Farms
H Hasanien, A El-Fergany
IET Generation Transmission & Distribution 11 (7), 1692 – 1700, 2017
1022017
Optimal techno-economic design of hybrid PV/wind system comprising battery energy storage: Case study for a remote area
D Emad, MA El-Hameed, AA El-Fergany
Energy Conversion and Management 249, 114847, 2021
972021
Capacitor placement for net saving maximization and system stability enhancement in distribution networks using artificial bee colony-based approach
A El-Fergany, AY Abdelaziz
International Journal of Electrical Power & Energy Systems 54 (1), 235-243, 2014
972014
Gorilla troops optimizer for electrically based single and double-diode models of solar photovoltaic systems
A Ginidi, SM Ghoneim, A Elsayed, R El-Sehiemy, A Shaheen, ...
Sustainability 13 (16), 9459, 2021
892021
Study impact of various load models on DG placement and sizing using backtracking search algorithm
A El-Fergany
Applied Soft Computing 30, 803-811, 2015
862015
Effective methodology based on neural network optimizer for extracting model parameters of PEM fuel cells
M Fawzi, AA El‐Fergany, HM Hasanien
International Journal of Energy Research 43 (14), 8136-8147, 2019
832019
Efficient heuristic-based approach for multi-objective capacitor allocation in radial distribution networks
AA El-Fergany, AY Abdelaziz
IET Generation Transmission & Distribution 8 (1), 70-80, 2014
822014
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