Electrical and Electronic Engineering, Artificial Intelligence, Energy Engineering and Power Technology
289
Scopus Publications
12206
Scholar Citations
61
Scholar h-index
219
Scholar i10-index
Scopus Publications
Mitigation of inductive coupling effects on buried pipelines using gradient control conductors of overhead line configuration and hippopotamus optimization algorithm Kelthoum Hachani, Bentouati Bachir, Djekidel Rabah, Sid Ahmed Bessedik, Ragab A. El-Sehiemy Scientific Reports, 2026 By electromagnetic perturbation effect, the extra-high voltage (EHV) overhead transmission lines can cause significant induced voltages and currents on buried metallic pipelines located in the immediate vicinity. These voltages can present a source of hazard both for the structural I ntegrity of the metallic pipeline and for the safety of personnel responsible for operation and maintenance. This paper proposes the quasi-static modeling of the electromagnetic interference to which a buried metallic pipeline will be subjected nearby an extra-high voltage (EHV) overhead transmission line, under steady-state operating conditions of the power electrical grid. Using the electrical network analysis method to evaluate the induced voltage levels and its effects on the buried pipeline; also, to propose a mitigation strategy if necessary. The results obtained show that the values of the AC induced voltage on the buried pipeline are significant and exceed the limits defined by the international NACE standard. They can cause a risk of electrocution for intervention personnel and accelerate the process of metal corrosion. Therefore, the gradient control mitigation technique of the conductors and their optimal geometric arrangement of EHV transmission line using Hippopotamus Optimization (HO) algorithm were proposed to reduce AC induced voltages within the permissible safety limits, according to the requirements of the NACE Standard. Finally, it should be noted that the implementation of these mitigation approaches have led to remarkable results in eliminating potential risks.
Modeling of solid oxide fuel cells and optimal parameter extraction at various operating data using an optimization method Amlak Abaza, Ragab A. El-Sehiemy, Rania M. Ghoniem, Mahana M. Elbana, Ahmed Bayoumi Plos One, 2026 One promising technology for a clean and effective energy conversion option is the solid oxide fuel cell (SOFC) being developed for a broad, widespread role in mobile equipment power supply, and stationary power generation. In this endeavor, an optimal design model based on extracted unknown parameters of the SOFC stack, a dimensional nonlinear optimization problem, is developed using the Puma optimization algorithm (POA). The idea of predator-prey relationships in the natural world forms the basis of POA. By implementing innovative and powerful techniques at every stage of exploration and exploitation, this algorithm has enhanced its performance against a broad variety of optimization tasks. Additionally, a new class of intelligent mechanisms, which is a type of phase change hyper-heuristic, is proposed. There are four operating circumstances in which the stack model is tested: four temperatures in the range 923–1073 K and 3 bar, with two conditions for validation and the others for testing the model. The proposed POA is compared with several well-known algorithms. The findings of the simulation are contrasted with those from published works using the Marine Predator Algorithm (MPA), Moth Flame Algorithm (MFA), Sine Cosine Algorithm (SCA), and Grey Wolf Optimizer (GWO), demonstrating the superior performance of POA in comparison to these competitive algorithms. Under different operating conditions, the computed polarization curves, V-I and P-I, closely resemble the measured datasets. Statistical indices and the ANOVA test confirm that there are differences in the mean values among the optimizer groups, demonstrating the viability and robustness of the proposed optimizer in comparison to other recent complex optimizers. Finally, the proposed POA yields significantly improved parameters with good convergence rates across various SOFC operating conditions.
Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy Scientific Reports, 2025 The economic emission load dispatch (EELD) problem is one of the main challenges to power system operators due to the complexity of the interconnected power systems and the non-linear characteristics of the objective functions (OFs). Therefore, the EELD problem has attracted significant attention in the electric power system because it has important objectives. Thus, this paper proposes the equilibrium optimization algorithm (EOA) to solve the EELD problem in electrical power systems by minimizing the total fuel cost and emissions, considering system and operational constraints. The OFs are optimized with and without considering valve point effects (VPE) and transmission system loss. The multi-OF, which aims to optimize these objectives simultaneously, is considered. In the proposed EOA, agents are particles and concentrations that express the solution and position, respectively. The proposed EOA is evaluated and tested on different-sized standard test systems having 10, 20, 40, and 80 generation units through several case studies. The numerical results obtained by the proposed EOA are compared with other optimization techniques such as grey wolf optimization, particle swarm optimization (PSO), differential evolution algorithm, and other optimization techniques in the literature. To show the reliability of the proposed algorithm for solving the considered OFs on a large-scale power system with and without considering different practical constraints such as VPE, ramp-rate limits (RRL), and prohibited operating zones (POZs) of generating units, the proposed EOA is evaluated and tested on the 140-unit test system. Also, the proposed multi-objective EOA (MOEOA) successfully acquires the Pareto optimal front to find the best compromise solution between the considered OFs. Also, the statistical analysis and the Wilcoxon signed rank test between the EOA and other optimization techniques for solving the EELD problem are performed. From numerical results, the total fuel cost obtained without considering VPE using the proposed EOA is reduced by 0.1414%, 0.1295%, 0.6864%, 5.8441% than the results of PSO, with maximum savings of 150 $/hr, 78 $/hr, 820 $/hr, and 14,730 $/hr for 10, 20, 40, and 80 units, respectively. The total fuel cost considering VPE is reduced by 0.0753%, 0.2536%, 2.8891%, and 3.6186% than the base case with maximum savings of 80 $/hr, 158 $/hr, 3610 $/hr, 9230 $/hr for 10, 20, 40, and 80 units, respectively. The total emission is reduced by 1.7483%, 12.8673%, and 7.5948% from the base case for 10, 40, and 80 units, respectively. For the 140-unit test system, the total fuel cost without and with considering VPE, RRL, and POZs is reduced by 6.4203% and 7.2394%, than the results of PSO with maximum savings of 107,200 $/hr and 126,400 $/hr. The total emission is reduced by 2.5688% from the base case. The comparative studies show the superiority of the EOA for the economic/environmental operation of the power system by solving the EELD problem with more accuracy and efficiency, especially as the system size increases.
PARAMETER ESTIMATION OF PERMANENT MAGNET SYNCHRONOUS MACHINES USING PARTICLE SWARM OPTIMIZATION ALGORITHM Revue Roumaine Des Sciences Techniques Serie Electrotechnique Et Energetique, 2022
EFFICIENT PARAMETER ESTIMATION PROCEDURE USING SUNFLOWER OPTIMIZATION ALGORITHM FOR SIX-PHASE INDUCTION MOTOR Revue Roumaine Des Sciences Techniques Serie Electrotechnique Et Energetique, 2022
Multi-Objective Optimal Allocation of Hybrid Photovoltaic Distributed Generators and Distribution Static Var Compensators in Radial Distribution Systems Using Various Optimization Algorithms Journal of Electrical Systems, 2022
Parameter optimization of PV modules: An overview Abdelhady Ramadan, Salah Kamel, Ragab A. El-Sehiemy, Baseem Khan Active Electrical Distribution Network Issues Solution Techniques and Applications, 2022
Binary and integer coded backtracking search optimization algorithm for transmission network expansion planning Wseas Transactions on Power Systems, 2019
Optimal techno-economic framework for the design and control of off-grid solar-battery EV charging stations in Benban-Egypt A Mashaly, E Elsherbiny, YM Elhawary, B Noureldin, H Ahmed, ... Journal of Energy Storage 167, 122367 , 2026 2026
Collaborative precise modeling of fuel cells based on adaptive Huber loss function and wild horse optimizer with critical statistical analysis B Saad, RA El-Sehiemy, HM Hasanien, MI Zaki International Journal of Hydrogen Energy 242, 155464 , 2026 2026
Optimal parameter extraction of fuel cells based on interval branch-and-bound optimization algorithm R Chenouard, RA El-Sehiemy Energy Reports 15, 108932 , 2026 2026
Exploring short/long-term measures of microgrids for efficient power system resilience TMZ Elsharkawy, BA Aziz, WAA Salem, RA El-Sehiemy Journal of Safety Science and Resilience, 100330 , 2026 2026
Mitigation of inductive coupling effects on buried pipelines using gradient control conductors of overhead line configuration and hippopotamus optimization algorithm K Hachani, B Bachir, D Rabah, SA Bessedik, RA El-Sehiemy Scientific Reports , 2026 2026
Hybrid Brown-Bear and Hippopotamus Optimization with Quasi-Opposition-Based Learning for Optimal Power Flow with Renewable Energy Integration M Lahdeb, A Hennache, B Bentouati, MMR Ahmed, RA El-Sehiemy, ... Computers and Electrical Engineering 131, 110922 , 2026 2026 Citations: 1
Optimal Power System Operation by a Novel Efficient Starfish Optimization Algorithm TMZ Elsharkawy, BA Aziz, WAA Salem, RA El-Sehiemy 2025 26th International Middle East Power Systems Conference (MEPCON), 1-7 , 2025 2025
A Unified Forecasting and Optimization Framework for Sustainable Smart Energy Systems AMA Heikal, HESA Aleem, RA El-Sehiemy, AY Abdelaziz 2025 26th International Middle East Power Systems Conference (MEPCON), 1-8 , 2025 2025
Optimal Hosting Capacity of Photovoltaic Sources for Tala Distribution Network with Harmonic Analysis ES Ali, AA Abou El Ela, AA Mubarak, A Nazih, RA El-Sehiemy 2025 26th International Middle East Power Systems Conference (MEPCON), 1-7 , 2025 2025
Optimal Prediction of EVs State of Charge based on Deep Machine Learning Technique MM Abdelaziz, AY Abdelaziz, RA El-Sehiemy, BAE Rashad 2025 26th International Middle East Power Systems Conference (MEPCON), 1-7 , 2025 2025
Critical Issues on the Desalination Process and Mobile Water Distillers in Egypt with Renewables, AI, and Power Electronics Technologies TA Enany, M Elzalik, MS Gad, SM Saleh, MA Hassanin, MM El-Sotouhy, ... 2025 26th International Middle East Power Systems Conference (MEPCON), 1-8 , 2025 2025
Optimal Scheduling of Electric Vehicle Charging and Discharging Using two Optimization Paradigms MM Abdelaziz, AY Abdelaziz, RA El-Sehiemy, BAE Rashad Results in Engineering, 108768 , 2025 2025
Data-driven modelling of thermal conductivity in electrically aligned PDMS–diamond composites with experimental verification MI Zaki, M Inaba, M Nakano, RA El Sehiemy, J Suehiro Applied Thermal Engineering 280 (3), 128338 , 2025 2025 Citations: 1
Optimal Harmonics Prediction for Distribution Systems Powered by Multi-Energy Sources Using Bidirectional Long-Short Term Memory Combined with Data Sequence HM El-Arwash, AY Abdelaziz, RA El-Sehiemy Applied Soft Computing 184 (B), 113799 , 2025 2025 Citations: 3
Development of hybrid optimization approach combined with AI-based techniques for prediction of electrical fields in overhead transmission lines: M. Takieddine et al. T Meriouma, SA Bessedik, R Djekidel, RA El-Sehiemy The Journal of Supercomputing 81 (16), 1523 , 2025 2025 Citations: 2
Multi-objective Transit Search Optimizer for Dynamic Reconfiguration of Standard and Realistic Radial Distribution Networks with Hosted Renewables and EV Charging Stations A Atef, M Moanes, RA El-Sehiemy, H Keshta Results in Engineering, 108079 , 2025 2025 Citations: 2
Detection of Harmonic and Interharmonics Contents in Water Desalination Plants' Distribution System Based on Deep Learning Algorithms HM El‐Arwash, M Alabid, RA El‐Sehiemy, LAA Said Energy Science & Engineering 13 (11), 5451-5464 , 2025 2025
Multistage prediction approach of EVs charging performance in smart transportation systems by deep learning technique MM Abdelaziz, AY Abdelaziz, RA El-Sehiemy, BAE Rashad Scientific Reports 15 (1), 37669 , 2025 2025 Citations: 4
A proposed wavelet analysis based fault diagnosis scheme of power transformers using fault signatures and CT saturation AM Dahman, AA Abou El-Ela, MI Zaki, RA El Sehiemy Results in Engineering 27, 105820 , 2025 2025 Citations: 7
Generic fuzzy-based optimal energy management strategy for efficient performance of realistic micro-grids with battery lifetime enhancement under climate changes M Kouki, PE Vidal, RA El-Sehiemy Journal of Energy Storage 128, 116977 , 2025 2025 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Optimal power flow solution in power systems using a novel Sine-Cosine algorithm AF Attia, RA El Sehiemy, HM Hasanien International Journal of Electrical Power & Energy Systems 99, 331-343 , 2018 2018 Citations: 434
Optimal placement and sizing of distributed generation and capacitor banks in distribution systems using water cycle algorithm AA Abou El-Ela, RA El-Sehiemy, AS Abbas IEEE Systems Journal 12 (4), 3629-3636 , 2018 2018 Citations: 373
Optimal power flow using an Improved Colliding Bodies Optimization algorithm HREH Bouchekara, AE Chaib, MA Abido, RA El-Sehiemy Applied Soft Computing 42, 119-131 , 2016 2016 Citations: 304
Optimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement AA Abou El‐Ela, RA El‐Sehiemy, AM Kinawy, MT Mouwafi IET Generation, Transmission & Distribution 10 (5), 1209-1221 , 2016 2016 Citations: 275
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems AM Shaheen, AM Elsayed, RA El-Sehiemy, AY Abdelaziz Applied Soft Computing 98, 106867 , 2021 2021 Citations: 216
A hybrid local search-genetic algorithm for simultaneous placement of DG units and shunt capacitors in radial distribution systems EA Almabsout, RA El-Sehiemy, ONU An, O Bayat IEEe Access 8, 54465-54481 , 2020 2020 Citations: 192
An improved heap optimization algorithm for efficient energy management based optimal power flow model AM Shaheen, RA El-Sehiemy, HM Hasanien, AR Ginidi Energy 250, 123795 , 2022 2022 Citations: 185
Mitigating uncertainty problems of renewable energy resources through efficient integration of hybrid solar PV/wind systems into power networks MMR Ahmed, S Mirsaeidi, MA Koondhar, N Karami, EM Tag-Eldin, ... IEEe Access 12, 30311-30328 , 2024 2024 Citations: 181
Solving multi‐objective optimal power flow problem via forced initialised differential evolution algorithm AM Shaheen, RA El‐Sehiemy, SM Farrag IET Generation, Transmission & Distribution 10 (7), 1634-1647 , 2016 2016 Citations: 181
Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm MA El-Dabah, RA El-Sehiemy, HM Hasanien, B Saad Energy, 125522 , 2023 2023 Citations: 167
A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution RM Rizk-Allah, RA El-Sehiemy, GG Wang Applied Soft Computing 63, 206-222 , 2018 2018 Citations: 162
A novel multi-objective hybrid particle swarm and salp optimization algorithm for technical-economical-environmental operation in power systems RA El Sehiemy, F Selim, B Bentouati, MA Abido Energy 193, 116817 , 2020 2020 Citations: 150
Optimal harmonic mitigation in distribution systems with inverter based distributed generation AS Abbas, RA El-Sehiemy, A Abou El-Ela, ES Ali, K Mahmoud, ... Applied Sciences 11 (2), 774 , 2021 2021 Citations: 138
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 2021 Citations: 131
Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources AA Abou El-Ela, RA El-Sehiemy, AM Shaheen, AEG Diab Control engineering practice 121, 105058 , 2022 2022 Citations: 129
Adaptive differential evolution algorithm for efficient reactive power management WS Sakr, RA El-Sehiemy, AM Azmy Applied Soft Computing 53, 336-351 , 2017 2017 Citations: 125
On the performance improvement of elephant herding optimization algorithm MA Elhosseini, RA El Sehiemy, YI Rashwan, XZ Gao Knowledge-Based Systems 166, 58-70 , 2019 2019 Citations: 124
An enhanced moth-flame optimizer for solving non-smooth economic dispatch problems with emissions AA Elsakaan, RA El-Sehiemy, SS Kaddah, MI Elsaid Energy 157, 1063-1078 , 2018 2018 Citations: 119
A forensic-based investigation algorithm for parameter extraction of solar cell models AM Shaheen, AR Ginidi, RA El-Sehiemy, SSM Ghoneim IEEE Access 9, 1-20 , 2020 2020 Citations: 116
Optimal reactive power dispatch using ant colony optimization algorithm AA Abou El-Ela, AM Kinawy, RA El-Sehiemy, MT Mouwafi Electrical Engineering 93 (2), 103-116 , 2011 2011 Citations: 114
