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Ahmed A. Zaki Diab
Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt

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Journal article
Published: 12 August 2021 in Energy Reports
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This paper proposes a method for selecting the parameters of the main components of an autonomous photovoltaic (PV) stations to ensure the most efficient conversion and use of solar energy. The main energy characteristics are analyzed and the mathematical models of the components of an autonomous PV system are developed to study the modes of tracking the maximum power point (MPP). The necessary conditions for matching the parameters of the PV and the DC–DC buck converter are evaluated to track the MPP. This paper aims to create an original method and algorithm for calculating and selecting parameters of the main elements of a PV stations. The optimal value of the sampling time of the MPP controller is obtained for different schemes of the PV system . A practical example is considered for selecting the parameters of a DC–DC buck converter and a digital MPP of an autonomous PV station. The simulation of dynamic modes of an autonomous photovoltaic (PV) station is performed in the MATLAB/SIMULINK software package. The simulation results of dynamic operations of the PV system show that the voltage converter and the MPP controller with the selected parameters according to the proposed method provide reliable and effective tracking of the MPP in all different connections of the PV.

ACS Style

Djaafar Toumi; Djiliani Benattous; Ahmed Ibrahim; H.I. Abdul-Ghaffar; Sergey Obukhov; Raef Aboelsaud; Yacine Labbi; Ahmed A. Zaki Diab. Optimal design and analysis of DC–DC converter with maximum power controller for stand-alone PV system. Energy Reports 2021, 7, 4951 -4960.

AMA Style

Djaafar Toumi, Djiliani Benattous, Ahmed Ibrahim, H.I. Abdul-Ghaffar, Sergey Obukhov, Raef Aboelsaud, Yacine Labbi, Ahmed A. Zaki Diab. Optimal design and analysis of DC–DC converter with maximum power controller for stand-alone PV system. Energy Reports. 2021; 7 ():4951-4960.

Chicago/Turabian Style

Djaafar Toumi; Djiliani Benattous; Ahmed Ibrahim; H.I. Abdul-Ghaffar; Sergey Obukhov; Raef Aboelsaud; Yacine Labbi; Ahmed A. Zaki Diab. 2021. "Optimal design and analysis of DC–DC converter with maximum power controller for stand-alone PV system." Energy Reports 7, no. : 4951-4960.

Journal article
Published: 01 July 2021 in Computers & Electrical Engineering
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The Parameter estimation of solar cell models is considered an important problem in the computational simulation and design of photovoltaic (PV) systems. In this paper, the PV parameters of single, double, and triple-diode models are extracted and tested under different environmental conditions. The parameter estimation of the three models is presented as an optimization process with an objective function to reduce the difference between the measured and calculated data. Moreover, a new optimization algorithm for extracting the PV parameters of the single, double, and three-diode models called the Manta Ray Foraging Optimization (MRFO) algorithm has been proposed. The results show that the obtained parameters are the optimal values and give the least difference between the measured and calculated data compared with other algorithms.

ACS Style

Essam H. Houssein; Gamela Nageh Zaki; Ahmed A. Zaki Diab; Eman M.G. Younis. An efficient Manta Ray Foraging Optimization algorithm for parameter extraction of three-diode photovoltaic model. Computers & Electrical Engineering 2021, 94, 107304 .

AMA Style

Essam H. Houssein, Gamela Nageh Zaki, Ahmed A. Zaki Diab, Eman M.G. Younis. An efficient Manta Ray Foraging Optimization algorithm for parameter extraction of three-diode photovoltaic model. Computers & Electrical Engineering. 2021; 94 ():107304.

Chicago/Turabian Style

Essam H. Houssein; Gamela Nageh Zaki; Ahmed A. Zaki Diab; Eman M.G. Younis. 2021. "An efficient Manta Ray Foraging Optimization algorithm for parameter extraction of three-diode photovoltaic model." Computers & Electrical Engineering 94, no. : 107304.

Chapter
Published: 27 April 2021 in Smart and Sustainable Planning for Cities and Regions
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A novel hybrid optimization technique (WOA–SSA) combines whale optimization (WOA) and salp swarm (SSA) algorithms are presented. The proposed technique is designed to gather the benefits and features of SSA and WOA algorithms. The proposed technique is applied for tracking the global maximum power point (GMPP) and improve the performance of photovoltaic (PV) plants during the conditions of partial shading (PSC). The evaluation of the performance of the proposed technique is performed via MATLAB/SIMULINK. Moreover, a comparative analysis is exhibited to confirm the performance of the planned WOA–SSA technique against the conventional SSA and WOA, separately. The obtained results show the superiority of the designed WOA–SSA technique considering tracking efficiency. Moreover, the proposed WOA–SSA algorithm reaches the best solution in less time and with a better convergence speed compared to SSA and WOA. The statistical results confirm that the success rate has been enhanced from 76.6667% and 73.333%, respectively, with WOA and SSA to 95% with the proposed hybrid algorithm. Furthermore, the value of the standard deviation of 2.7877 and 2.5329 based on WOA and SSA is reduced to 0.3320 in the case of the proposed WOA–SSA. Index Terms—Global MPPT; Partially shaded PV Systems; Hybrid optimization; Whale optimization algorithm; Salp swarm algorithm; Convergence.

ACS Style

Ahmed A. Zaki Diab; Mohamed A. Mohamed; Ameena Al-Sumaiti; Hamdy Sultan; Mahmoud Mossa. A Novel Hybrid Optimization Algorithm for Maximum Power Point Tracking of Partially Shaded Photovoltaic Systems. Smart and Sustainable Planning for Cities and Regions 2021, 201 -230.

AMA Style

Ahmed A. Zaki Diab, Mohamed A. Mohamed, Ameena Al-Sumaiti, Hamdy Sultan, Mahmoud Mossa. A Novel Hybrid Optimization Algorithm for Maximum Power Point Tracking of Partially Shaded Photovoltaic Systems. Smart and Sustainable Planning for Cities and Regions. 2021; ():201-230.

Chicago/Turabian Style

Ahmed A. Zaki Diab; Mohamed A. Mohamed; Ameena Al-Sumaiti; Hamdy Sultan; Mahmoud Mossa. 2021. "A Novel Hybrid Optimization Algorithm for Maximum Power Point Tracking of Partially Shaded Photovoltaic Systems." Smart and Sustainable Planning for Cities and Regions , no. : 201-230.

Journal article
Published: 03 April 2021 in Energies
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Distribution transformer (DT) is a crucial component in power systems as it exchanges energies between different voltage levels or between utility grid and DC microgrids. Nevertheless, the operation of an oil-immersed DT is limited by the thermal and electrical capabilities of the internal insulating liquid. This paper aims to raise the efficiency of distribution transformers and preserve the environment by using a biodegradable insulating liquid instead of the conventional mineral insulating oil (MIO). This work examines the Egyptian case, where a real distribution network located in middle Egypt is selected as a pilot project. Study and analysis of the status que of the insulation system inside DTs are done with the aid of fault-tree analysis. The deficiency of the insulation system is confirmed by conducting an electronic survey of 100 expert participants. The most appropriate solution among three different alternatives is confirmed using the weighting and ranking method. The best choice suitable for the selected area is the substitution of MIO by synthetic ester (SE). The technical and environmental advantages achieved by the presented solution are discussed. The feasibility studies have proven that the solution is positively acceptable in all aspects. An execution plan is established for the application of proposed solution on the selected Egyptian distribution network.

ACS Style

Ali Radwan; Ahmed Diab; Abo-Hashima Elsayed; Yehya Mohamed; Hassan Haes Alhelou; Pierluigi Siano. Transformers Improvement and Environment Conservation by Using Synthetic Esters in Egypt. Energies 2021, 14, 1992 .

AMA Style

Ali Radwan, Ahmed Diab, Abo-Hashima Elsayed, Yehya Mohamed, Hassan Haes Alhelou, Pierluigi Siano. Transformers Improvement and Environment Conservation by Using Synthetic Esters in Egypt. Energies. 2021; 14 (7):1992.

Chicago/Turabian Style

Ali Radwan; Ahmed Diab; Abo-Hashima Elsayed; Yehya Mohamed; Hassan Haes Alhelou; Pierluigi Siano. 2021. "Transformers Improvement and Environment Conservation by Using Synthetic Esters in Egypt." Energies 14, no. 7: 1992.

Original article
Published: 17 March 2021 in Neural Computing and Applications
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The accurate models of photovoltaic systems are the core of solar energy studies that are describing the system performance and behavior under different operating conditions. The improving of photovoltaic models based on optimizing method is recently the main simulation tool to construct I-V and P–V characteristic curves with the aid of system parameters. These parameters are extracted by using powerful optimal techniques that are building-up from datasheet of manufacturers or experimental data. This paper presents a novel proposed photovoltaic model based on Marine Predators Algorithm to estimate the optimal model parameters of solar cells or modules. Also, it can extract parameters of single diode, double diode and three diode models. Moreover, the Route Mean Square Error value between each model computed parameters and measured results of photovoltaic components are considered as the objective function. R.T.C. France Solar Cell, Photowatt-PWP201 and thin-film photovoltaic modules have been implemented to extract parameters for all three previously mentioned models at different irradiance intensities or temperature degrees. The proposed algorithm results of such cells and modules for each diode model are compared with other research works and manufacturer's results. Moreover, the evaluation of proposed algorithm has been presented considering the complexity analysis and statistical tests. The compared results show that, the accuracy of algorithm results is the best and their I-V and P–V characteristic curves are highly coinciding with manufacturer's curves. Therefore, the results of the proposed algorithm are satisfied with high superiority and better reliability to optimize parameters under different operating conditions.

ACS Style

Montaser Abd El Sattar; Ameena Al Sumaiti; Hamdi Ali; Ahmed A. Zaki Diab. Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions. Neural Computing and Applications 2021, 33, 11799 -11819.

AMA Style

Montaser Abd El Sattar, Ameena Al Sumaiti, Hamdi Ali, Ahmed A. Zaki Diab. Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions. Neural Computing and Applications. 2021; 33 (18):11799-11819.

Chicago/Turabian Style

Montaser Abd El Sattar; Ameena Al Sumaiti; Hamdi Ali; Ahmed A. Zaki Diab. 2021. "Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions." Neural Computing and Applications 33, no. 18: 11799-11819.

Journal article
Published: 28 February 2021 in Energies
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The need for regulating the operation of unhealthy motor drives has motivated the researchers to modify the control techniques in order to be valid for the new drive state. The use of a fault-tolerant facility is an attractive feature of multiphase machines; therefore, the applicability of different controllers has been established for the operation under open-phase fault conditions. The considered control algorithms were utilized to analyze the operation of the unhealthy system and evaluating the capability of the control to regulate the speed and torque under the fault condition. However, the majority of these studies considered only one control algorithm to be tested with the faulty system without comparing its performance with other techniques. The performance comparison is a vital way to visualize the features and characteristics of each algorithm. For this purpose, this paper deals with the performance comparison of the hysteresis controller, RFOC based on resonant controller and direct torque control (DTC) control under open-circuit fault conditions. A detailed comparison between the three control techniques is presented to outline the main differences between the three control procedures and identify the most appropriate technique in between.

ACS Style

Mahmoud A. Mossa; Hamdi Echeikh; Ahmed Diab; Hassan Haes Alhelou; Pierluigi Siano. Comparative Study of Hysteresis Controller, Resonant Controller and Direct Torque Control of Five-Phase IM under Open-Phase Fault Operation. Energies 2021, 14, 1317 .

AMA Style

Mahmoud A. Mossa, Hamdi Echeikh, Ahmed Diab, Hassan Haes Alhelou, Pierluigi Siano. Comparative Study of Hysteresis Controller, Resonant Controller and Direct Torque Control of Five-Phase IM under Open-Phase Fault Operation. Energies. 2021; 14 (5):1317.

Chicago/Turabian Style

Mahmoud A. Mossa; Hamdi Echeikh; Ahmed Diab; Hassan Haes Alhelou; Pierluigi Siano. 2021. "Comparative Study of Hysteresis Controller, Resonant Controller and Direct Torque Control of Five-Phase IM under Open-Phase Fault Operation." Energies 14, no. 5: 1317.

Journal article
Published: 19 February 2021 in Electronics
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The integration of wind energy systems (WECS) into the power grid through power electronic converters should ensure the high performance of the control system. In spite of several advantages of conventional Finite control set-model predictive controller (FCS-MPC), variable switching frequency and high computational burden are considered its main drawbacks. In this paper, a fast FCS-MPC of a machine side converter (MSC) of direct-driven permanent magnet synchronous generator (PMSG) based wind turbines for wind energy conversion system is proposed. The wind energy conversion system has been realized using a direct driven PMSG and a full-scale back-to-back power converter. The proposed controller is designed to reduce the required calculations in each horizon. In addition, the performance of conventional FCS-MPC is compared with the proposed method, and an improvement in total harmonic distortion spectra and simulation time required even when imposing a lower sampling frequency was found. To overcome the variable switching frequency problem, a modulation algorithm is introduced in the minimization process of modulated FCS-MPC. To keep the proposed system attached to the utility during a fault, a coordinated pitch angle control and low voltage-ride through (LVRT) algorithm is designed and inserted in the vector control of the grid side converter (GSC) to supply reactive power to the grid during fault for ensuring safe operation of the inverter and meeting the grid code requirements. The effectiveness of the proposed controller is illustrated using simulation results under different operating conditions.

ACS Style

Asmaa Ghany; E. Shehata; Abo-Hashima Elsayed; Yahia Mohamed; Hassan Haes Alhelou; Pierluigi Siano; Ahmed Diab. Novel Switching Frequency FCS-MPC of PMSG for Grid-Connected Wind Energy Conversion System with Coordinated Low Voltage Ride Through. Electronics 2021, 10, 492 .

AMA Style

Asmaa Ghany, E. Shehata, Abo-Hashima Elsayed, Yahia Mohamed, Hassan Haes Alhelou, Pierluigi Siano, Ahmed Diab. Novel Switching Frequency FCS-MPC of PMSG for Grid-Connected Wind Energy Conversion System with Coordinated Low Voltage Ride Through. Electronics. 2021; 10 (4):492.

Chicago/Turabian Style

Asmaa Ghany; E. Shehata; Abo-Hashima Elsayed; Yahia Mohamed; Hassan Haes Alhelou; Pierluigi Siano; Ahmed Diab. 2021. "Novel Switching Frequency FCS-MPC of PMSG for Grid-Connected Wind Energy Conversion System with Coordinated Low Voltage Ride Through." Electronics 10, no. 4: 492.

Journal article
Published: 18 February 2021 in Mathematics
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This paper introduces a novel sensorless model-predictive torque-flux control (MPTFC) for two-level inverter-fed induction motor (IM) drives to overcome the high torque ripples issue, which is evidently presented in model-predictive torque control (MPTC). The suggested control approach will be based on a novel modification for the adaptive full-order-observer (AFOO). Moreover, the motor is modeled considering core losses and a compensation term of core loss applied to the suggested observer. In order to mitigate the machine losses, particularly at low speed and light load operations, the loss minimization criterion (LMC) is suggested. A comprehensive comparative analysis between the performance of IM drive under conventional MPTC, and those of the proposed MPTFC approaches (without and with consideration of the LMC) has been carried out to confirm the efficiency of the proposed MPTFC drive. Based on MATLAB® and Simulink® from MathWorks® (2018a, Natick, MA 01760-2098 USA) simulation results, the suggested sensorless system can operate at very low speeds and has the better dynamic and steady-state performance. Moreover, a comparison in detail of MPTC and the proposed MPTFC techniques regarding torque, current, and fluxes ripples is performed. The stability of the modified adaptive closed-loop observer for speed, flux and parameters estimation methodology is proven for a wide range of speeds via Lyapunov’s theorem.

ACS Style

Ahmed Aziz; Hegazy Rez; Ahmed Diab. Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives. Mathematics 2021, 9, 403 .

AMA Style

Ahmed Aziz, Hegazy Rez, Ahmed Diab. Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives. Mathematics. 2021; 9 (4):403.

Chicago/Turabian Style

Ahmed Aziz; Hegazy Rez; Ahmed Diab. 2021. "Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives." Mathematics 9, no. 4: 403.

Journal article
Published: 29 October 2020 in Sustainability
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The remarkable growth of distributed generation (DG) penetration inside electrical power systems turns the familiar passive ‎distribution networks (PDNs) into active distribution networks (ADNs). Based ‎on the backward/forward sweep method (BFS), a new power-flow algorithm was developed in this paper. The algorithm is flexible to handle the bidirectional flow of power that characterizes the ‎modern ADNs. Models of the commonly used distribution network components were integrated with the developed algorithm to ‎form a comprehensive tool. This tool is valid for modeling either balanced or unbalanced ADNs with an unlimited number of nodes or laterals. The ‎integrated models involve modeling of distribution lines, losses inside distribution transformers, automatic voltage regulators ‎‎(AVRs), DG units, shunt capacitor banks (SCBs) and different load models. To verify its validity, the presented algorithm was first applied to the unbalanced IEEE 37-node standard feeder in both passive and active states. Moreover, the algorithm was then ‎applied to a balanced 22 kV real distribution network as a case study. The selected network is located in a remote area in the western desert of Upper Egypt, far away from the Egyptian unified national grid. Accordingly, the paper examines the current and future situation of the Egyptian electricity market. Comparison studies between the ‎performance of the proposed ADNs and the classical PDNs are discussed. Simulation results are presented to demonstrate the ‎effectiveness of the proposed ADNs in preserving the network assets, improving the system performance and minimizing the ‎power losses‎.

ACS Style

Ali ‎radwan; Ahmed Zaki Diab; Abo-Hashima Elsayed; Hassan Haes Alhelou; Pierluigi Siano. Active Distribution Network Modeling for Enhancing Sustainable Power System ‎Performance; a Case study in Egypt. Sustainability 2020, 12, 8991 .

AMA Style

Ali ‎radwan, Ahmed Zaki Diab, Abo-Hashima Elsayed, Hassan Haes Alhelou, Pierluigi Siano. Active Distribution Network Modeling for Enhancing Sustainable Power System ‎Performance; a Case study in Egypt. Sustainability. 2020; 12 (21):8991.

Chicago/Turabian Style

Ali ‎radwan; Ahmed Zaki Diab; Abo-Hashima Elsayed; Hassan Haes Alhelou; Pierluigi Siano. 2020. "Active Distribution Network Modeling for Enhancing Sustainable Power System ‎Performance; a Case study in Egypt." Sustainability 12, no. 21: 8991.

Original article
Published: 21 September 2020 in Neural Computing and Applications
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Proton exchange membrane fuel cell (PEMFC) is considered as propitious solution for an environmentally friendly energy source. A precise model of PEMFC for accurate identification of its polarization curve and in-depth understanding of all its operating characteristics attracted the interest of many researchers. In this paper, novel meta-heuristic optimization methods have been successfully applied to evaluate the unknown parameters of PEMFC models, particularly Harris Hawks’ optimization (HHO) and atom search optimization (ASO) techniques. The proposed optimization algorithms have been tested on three different commercial PEMFC stacks, namely BCS 500-W PEM, 500W SR-12PEM and 250W stack, under various operating conditions. The sum of square errors (SSE) between the results obtained by the application of the estimated parameters and the experimentally measured results of the fuel cell stacks was considered as the objective function of the optimization problem. In order to validate the effectiveness of the proposed methods, the results are compared with that obtained in studies. Moreover, the I/V curves obtained by the application of HHO and ASO showed a clear matching with data sheet curves for all the studied cases. Finally, PEMFC model based on HHO technique surpasses all compared algorithms in terms of the solution accuracy and the convergence speed.

ACS Style

Mahmoud A. Mossa; Omar Makram Kamel; Hamdy M. Sultan; Ahmed A. Zaki Diab. Parameter estimation of PEMFC model based on Harris Hawks’ optimization and atom search optimization algorithms. Neural Computing and Applications 2020, 33, 5555 -5570.

AMA Style

Mahmoud A. Mossa, Omar Makram Kamel, Hamdy M. Sultan, Ahmed A. Zaki Diab. Parameter estimation of PEMFC model based on Harris Hawks’ optimization and atom search optimization algorithms. Neural Computing and Applications. 2020; 33 (11):5555-5570.

Chicago/Turabian Style

Mahmoud A. Mossa; Omar Makram Kamel; Hamdy M. Sultan; Ahmed A. Zaki Diab. 2020. "Parameter estimation of PEMFC model based on Harris Hawks’ optimization and atom search optimization algorithms." Neural Computing and Applications 33, no. 11: 5555-5570.

Journal article
Published: 21 September 2020 in IEEE Access
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Recent hybrid simulators (or co-simulators) of the electric power system are focused on scientific and research features to propose and develop novel and more accurate simulators. The present paper demonstrates one more hybrid modelling approach based on application and combination of three modeling approaches all together: physical, analog and digital. The primary focus of the proposed approach is to develop the simulation tool ensuring such vital characteristics as three-phase simulation and modeling of a single spectrum of processes in electric power system, without separation of the electromagnetic and electromechanical transient stages. Moreover, unlimited scalability of the electric power system model and real-time simulation to ensure the opportunity of data exchange with external devices have been considered. The description of the development of the hybrid model of back-to-back HVDC link based on the proposed approach is discussed and analyzed. To confirm properties of the mentioned hybrid simulation approach and hybrid model of back-to-back HVDC link, the simulation results of the interconnection of non-synchronously operating parts of the electric power system; power flow regulation; dynamic response to external fault and damping of power oscillation in electric power system are presented and examined. Moreover, to confirm the adequacy of the obtained results, the comparison with a detailed voltage source converter HVDC model (Simulink Matlab) and Eurostag software are introduced.

ACS Style

Ruslan A. Ufa; Mikhail V. Andreev; Ahmed A. Zaki Diab; Alexander S. Gusev; Nikolay Yu. Ruban; Montaser Abd El Sattar; Aleksey A. Suvorov; Ziad M. Ali; Alisher B. Askarov; Vladimir E. Rudnik; Igor A. Razzhivin; Anton V. Kievets; Yuly D. Bay; Ahmed Ibrahim; Raef Aboelsaud; Ameena Saad Al-Sumaiti; Yahia B. Hassan. Research, Development and Application of Hybrid Model of Back-to-Back HVDC Link. IEEE Access 2020, 8, 174860 -174870.

AMA Style

Ruslan A. Ufa, Mikhail V. Andreev, Ahmed A. Zaki Diab, Alexander S. Gusev, Nikolay Yu. Ruban, Montaser Abd El Sattar, Aleksey A. Suvorov, Ziad M. Ali, Alisher B. Askarov, Vladimir E. Rudnik, Igor A. Razzhivin, Anton V. Kievets, Yuly D. Bay, Ahmed Ibrahim, Raef Aboelsaud, Ameena Saad Al-Sumaiti, Yahia B. Hassan. Research, Development and Application of Hybrid Model of Back-to-Back HVDC Link. IEEE Access. 2020; 8 (99):174860-174870.

Chicago/Turabian Style

Ruslan A. Ufa; Mikhail V. Andreev; Ahmed A. Zaki Diab; Alexander S. Gusev; Nikolay Yu. Ruban; Montaser Abd El Sattar; Aleksey A. Suvorov; Ziad M. Ali; Alisher B. Askarov; Vladimir E. Rudnik; Igor A. Razzhivin; Anton V. Kievets; Yuly D. Bay; Ahmed Ibrahim; Raef Aboelsaud; Ameena Saad Al-Sumaiti; Yahia B. Hassan. 2020. "Research, Development and Application of Hybrid Model of Back-to-Back HVDC Link." IEEE Access 8, no. 99: 174860-174870.

Research article
Published: 13 September 2020 in Electric Power Components and Systems
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According to the new international grid codes, ancillary services from renewable energy sources are essential, especially when these sources are harnessed as distributed generators. Power oscillation damping (POD) is a supplemented feature needed from wind power plants. This paper investigates different control techniques that can support wind farms based on a doubly fed induction generator (DFIG) with the proper POD. A damping control loop (DCL) is inserted into the control circuit of the back-to-back converter of DFIG to enhance system oscillation damping. The main function of DCL is similar to that of the conventional power system stabilizer. However, under congestion situations, external regulation devices such as STATCOM are required to support system performance and maintain wind farms tracking grid code requirements. A 2-area 4-machine system which consists of three thermal power plants and one wind power plant is examined. The dynamic performance of the system is investigated using power system stabilizer (PSS) as an embedded feature with the control circuit of the thermal power plants. A comparison between the PSS and STATCOM based on system dynamic performance is performed using MATLAB/Simulink. Additionally, the particle swarm optimization technique is used to enhance the performance of the proposed control techniques, taking the voltage stability margins into consideration.

ACS Style

Omar Makram Kamel; Almoataz Y. Abdelaziz; Ahmed A. Zaki Diab. Damping Oscillation Techniques for Wind Farm DFIG Integrated into Inter-Connected Power System. Electric Power Components and Systems 2020, 48, 1551 -1570.

AMA Style

Omar Makram Kamel, Almoataz Y. Abdelaziz, Ahmed A. Zaki Diab. Damping Oscillation Techniques for Wind Farm DFIG Integrated into Inter-Connected Power System. Electric Power Components and Systems. 2020; 48 (14-15):1551-1570.

Chicago/Turabian Style

Omar Makram Kamel; Almoataz Y. Abdelaziz; Ahmed A. Zaki Diab. 2020. "Damping Oscillation Techniques for Wind Farm DFIG Integrated into Inter-Connected Power System." Electric Power Components and Systems 48, no. 14-15: 1551-1570.

Journal article
Published: 04 September 2020 in IEEE Access
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Proton Exchange Membrane Fuel Cells (PEMFC) is considered a propitious solution for an environmentally friendly energy source. A precise model of PEMFC for accurate identification of its polarization curve and an in-depth understanding of all its operating characteristics attracted the interest of many researchers. In this paper, recent meta-heuristic optimization methods have been successfully applied to evaluate the unknown parameters of PEMFC models, particularly Marine Predators Algorithm (MPA) and Political Optimizer (PO) techniques. The proposed optimization algorithms have been tested on three different commercial PEMFC stacks, namely BCS 500-W, SR-12PEM 500 W, and 250 W stack under various operating conditions. The sum of square errors (SSE) between the results obtained by the application of the estimated parameters and the experimentally measured results of the fuel cell stacks was considered as the objective function of the optimization problem. In order to validate the effectiveness of the proposed methods, the results are compared with those obtained in the literature. Moreover, the I/V curves obtained by the application of MPA and PO showed a clear matching with datasheet curves for all the studied cases. Statistical analysis has been performed to evaluate the robustness of the MPA and PO techniques. Finally, the PEMFC model based on the MPA technique surpasses all compared algorithms in terms of the solution accuracy and the convergence speed. The obtained results confirmed the superiority and reliability of the applied approach of the MPA algorithm. The results prove that the MPA algorithm has a superior performance based on its reliability.

ACS Style

Ahmed A. Zaki Diab; Mohamed A. Tolba; Ayat Gamal Abo El-Magd; Magdy M. Zaky; Ali M. El-Rifaie. Fuel Cell Parameters Estimation via Marine Predators and Political Optimizers. IEEE Access 2020, 8, 166998 -167018.

AMA Style

Ahmed A. Zaki Diab, Mohamed A. Tolba, Ayat Gamal Abo El-Magd, Magdy M. Zaky, Ali M. El-Rifaie. Fuel Cell Parameters Estimation via Marine Predators and Political Optimizers. IEEE Access. 2020; 8 (99):166998-167018.

Chicago/Turabian Style

Ahmed A. Zaki Diab; Mohamed A. Tolba; Ayat Gamal Abo El-Magd; Magdy M. Zaky; Ali M. El-Rifaie. 2020. "Fuel Cell Parameters Estimation via Marine Predators and Political Optimizers." IEEE Access 8, no. 99: 166998-167018.

Journal article
Published: 07 August 2020 in Electronics
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The present paper is concerned with introducing an effective direct power control (DPC) approach for a sensor-less doubly fed induction generator (DFIG). The derivation of the proposed DPC approach is performed in a systematic manner in which the design of the rotor current controllers is well analyzed, which clarifies the real base of the control system as when and why it works properly. The operation of the proposed DPC approach is based on the stator voltage-oriented control principle in which the stator voltage is aligned with the quadrature axis of the rotating reference frame. To obtain maximum generation efficiency, the reactive power reference value is derived based on a loss minimization criterion (LMC) that is described and analyzed in detail. To enhance the robustness of the control system, an effective rotor position estimator is proposed that is robust against the system uncertainties, such as the parameters’ variation. To validate the effectiveness of the proposed sensor-less DPC approach, the DFIG dynamic performance is tested for a wide range of operating speeds. The obtained results confirm and emphasize the feasibility of the proposed control approach and its LMC methodology in improving the generation efficiency and in obtaining high dynamic performance from the DFIG.

ACS Style

Mahmoud A. Mossa; Hamdi Echeikh; Ahmed A. Zaki Diab; Nguyen Vu Quynh. Effective Direct Power Control for a Sensor-Less Doubly Fed Induction Generator with a Losses Minimization Criterion. Electronics 2020, 9, 1269 .

AMA Style

Mahmoud A. Mossa, Hamdi Echeikh, Ahmed A. Zaki Diab, Nguyen Vu Quynh. Effective Direct Power Control for a Sensor-Less Doubly Fed Induction Generator with a Losses Minimization Criterion. Electronics. 2020; 9 (8):1269.

Chicago/Turabian Style

Mahmoud A. Mossa; Hamdi Echeikh; Ahmed A. Zaki Diab; Nguyen Vu Quynh. 2020. "Effective Direct Power Control for a Sensor-Less Doubly Fed Induction Generator with a Losses Minimization Criterion." Electronics 9, no. 8: 1269.

Journal article
Published: 22 July 2020 in IEEE Access
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Reliability and survivability of electric power systems (EPS) depend on transient stability assessment (TSA). One of the most effective way to TSA is time-domain simulation. However, large-scale EPS mathematical model contains a stiff nonlinear system of high-order differential equations. Such system cannot be solved analytically. At the same time, numerical methods are imperfectly applied for such system due to limitation conditions. To make it appropriate, the EPS mathematical model is simplified and additional limitations are used. These simplifications and limitations reduce reliability of simulation results. Consequently, their validation is needed. The most reliable approach to provide it is to compare the simulation results with the field data. However, in practice, there are not enough data for such validation. This paper proposes an alternative approach for validation – the application of a reference model instead of field data. A hardware-software system HRTSim was used as a reference model. This power system simulator has all the necessary properties and capabilities to obtain reliable information required for comprehensive validation of transient stability calculations in EPSs. Main disturbances leading to instability in EPSs are investigated to conduct the validation (processes in cases of faults, single-phase auto-reclosing operation and power system interconnection). Fragments of corresponding experimental studies illustrate the efficiency of the proposed approach. Obtained results confirmed the possibility of the developed approach to identify the causes of numerical calculation errors and to determine disturbances calculated with the significant error. In addition, experimental studies have revealed that numerical calculations error depends on disturbances intensity.

ACS Style

Aleksey A. Suvorov; Ahmed. A. Zaki Diab; Alexander S. Gusev; Mikhail V. Andreev; Nikolay Yu. Ruban; Alisher B. Askarov; Ruslan A. Ufa; Igor A. Razzhivin; Anton V. Kievets; Yuly D. Bay; Vladimir E. Rudnik; Raef Aboelsaud; Ahmed Ibrahim; Ameena Saad Al-Sumaiti. Comprehensive Validation of Transient Stability Calculations in Electric Power Systems and Hardware-Software Tool for Its Implementation. IEEE Access 2020, 8, 136071 -136091.

AMA Style

Aleksey A. Suvorov, Ahmed. A. Zaki Diab, Alexander S. Gusev, Mikhail V. Andreev, Nikolay Yu. Ruban, Alisher B. Askarov, Ruslan A. Ufa, Igor A. Razzhivin, Anton V. Kievets, Yuly D. Bay, Vladimir E. Rudnik, Raef Aboelsaud, Ahmed Ibrahim, Ameena Saad Al-Sumaiti. Comprehensive Validation of Transient Stability Calculations in Electric Power Systems and Hardware-Software Tool for Its Implementation. IEEE Access. 2020; 8 (99):136071-136091.

Chicago/Turabian Style

Aleksey A. Suvorov; Ahmed. A. Zaki Diab; Alexander S. Gusev; Mikhail V. Andreev; Nikolay Yu. Ruban; Alisher B. Askarov; Ruslan A. Ufa; Igor A. Razzhivin; Anton V. Kievets; Yuly D. Bay; Vladimir E. Rudnik; Raef Aboelsaud; Ahmed Ibrahim; Ameena Saad Al-Sumaiti. 2020. "Comprehensive Validation of Transient Stability Calculations in Electric Power Systems and Hardware-Software Tool for Its Implementation." IEEE Access 8, no. 99: 136071-136091.

Journal article
Published: 26 June 2020 in IEEE Access
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Among all renewable energy sources, solar cells are considered the most popular solution for a clean source of energy and have a wide range of applications from few watts to Megawatt industrial and domestic loads. Building a precise mathematical model based on nonlinear equations for solar cells as well as photovoltaic (PV) modules is an essential issue for reasonable performance assessment, control and optimal operation of PV energy systems. In the current study, a novel optimization algorithm, Tree Growth Algorithm (TGA), is applied for accurate and efficient extraction of the unknown solar cell and PV module parameters. TGA is applied for estimating the unidentified parameters of PV models. Single diode model (SDM), double diode model (DDM) and three diode model (TDM) are investigated in the mathematical models of both solar cells and PV modules. The obtained results from the application of TGA to achieve this objective are compared with different algorithms reported in the literature. Moreover, the results demonstrated that the proposed algorithm of TGA superior to other reported methods. The good matching of the I-V characteristic curve of the computed parameters with those of the measured data from the manufacturer’s PV modules/cells datasheet proved that the proposed TGA may function as a competitor to the methods provided in literature for parameters’ identification of PV of solar cells.

ACS Style

Ahmed A. Zaki Diab; Hamdy M. Sultan; Raseel Aljendy; Ameena Saad Al-Sumaiti; Masahito Shoyama; Ziad M. Ali. Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules. IEEE Access 2020, 8, 119668 -119687.

AMA Style

Ahmed A. Zaki Diab, Hamdy M. Sultan, Raseel Aljendy, Ameena Saad Al-Sumaiti, Masahito Shoyama, Ziad M. Ali. Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules. IEEE Access. 2020; 8 ():119668-119687.

Chicago/Turabian Style

Ahmed A. Zaki Diab; Hamdy M. Sultan; Raseel Aljendy; Ameena Saad Al-Sumaiti; Masahito Shoyama; Ziad M. Ali. 2020. "Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules." IEEE Access 8, no. : 119668-119687.

Journal article
Published: 08 June 2020 in IEEE Access
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Recently, building an accurate mathematical model with the help of the experimentally measured data of solar cells and Photovoltaic (PV) modules, as a tool for simulation and performance evaluation of the PV systems, has attracted the attention of many researchers. In this work, Coyote Optimization Algorithm (COA) has been applied for extracting the unknown parameters involved in various models for the solar cell and PV modules, namely single diode model, double diode model, and three diode model. The choice of COA algorithm for such an application is made because of its good tracking characteristics and the balance creation between the exploration and exploitation phases. Additionally, it has only two control parameters and such a feature makes it very simple in application. The Root Mean Square Error (RMSE) value between the data based on the optimized parameters for each model and those based on the measured data of the solar cell and PV modules is adopted as the objective function. Parameters’ estimation for various types of PV modules (mono-crystalline, thin-film, and multi-crystalline) under different operating scenarios such as a change in intensity of solar radiation and cell temperature is studied. Furthermore, a comprehensive statistical study has been performed to validate the accurateness and stability of the applied COA as a competitor to other optimization algorithms in the optimal design of PV module parameters. Simulation results, as well as the statistical measurement, validate the superiority and the reliability of the COA algorithm not only for parameter extraction of different PV modules but also under different operating scenarios. With the COA, precise PV models have been established with acceptable RMSE of $7.7547\times 10^{-4}$ , $7.64801\times 10^{-4}$ , and $7.59756 \times 10^{-4}$ for SDM, DDM, and TDM respectively considering R.T.C. France solar cell.

ACS Style

Ahmed A. Zaki Diab; Hamdy M. Sultan; Ton Duc Do; Omar Makram Kamel; Mahmoud A. Mossa. Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules. IEEE Access 2020, 8, 111102 -111140.

AMA Style

Ahmed A. Zaki Diab, Hamdy M. Sultan, Ton Duc Do, Omar Makram Kamel, Mahmoud A. Mossa. Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules. IEEE Access. 2020; 8 ():111102-111140.

Chicago/Turabian Style

Ahmed A. Zaki Diab; Hamdy M. Sultan; Ton Duc Do; Omar Makram Kamel; Mahmoud A. Mossa. 2020. "Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules." IEEE Access 8, no. : 111102-111140.

Journal article
Published: 22 May 2020 in IEEE Access
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The Finite control set model predictive control (FCS-MPC) is recently introduced to control inverters without the modulation stage. The absence of the modulation stage gives an unpredictable performance of the control system. In this paper, the performance of FCS-MPC is assessed by comparing with PID control which is based on Scalar Pulse Width Modulation (PWM). The two control techniques are applied for load voltage regulation of the autonomous four-leg voltage source inverter (FLVSI). Practically, the predictive control requires a large number of calculations, resulting in high computation time and delay. In this paper, a new finite control set model predictive voltage control (MPVC) algorithm is proposed to predict the load voltages for 15 switching states instead of 16 switching states for reducing the computation time required for the control algorithm. Moreover, the algorithm is optimized by removing the repeated computations and the delay is compensated using the two-step prediction horizon principle. An accurate discrete-time state-space model of the autonomous FLVSI with output LC-filter is used for predicting the load voltages considering the neutral inductance and damping resistance of the LC filter. A simple PID control scheme with decoupled feedforward voltage and current loops is used in the DQ0 reference frame, while MPVC operates in the ABC reference frame. The simulation and experimental results are used to show the full assessment of the MPVC. The prominent outcomes show the ability of the proposed MPVC algorithm to provide high power quality under unbalanced and non-linear load conditions with high stability and robustness.

ACS Style

Raef Aboelsaud; Ameena Saad Al-Sumaiti; Ahmed Ibrahim; Ivan V. Aleksandrov; Alexander G. Garganeev; Ahmed A. Zaki Diab. Assessment of Model Predictive Voltage Control for Autonomous Four-Leg Inverter. IEEE Access 2020, 8, 101163 -101180.

AMA Style

Raef Aboelsaud, Ameena Saad Al-Sumaiti, Ahmed Ibrahim, Ivan V. Aleksandrov, Alexander G. Garganeev, Ahmed A. Zaki Diab. Assessment of Model Predictive Voltage Control for Autonomous Four-Leg Inverter. IEEE Access. 2020; 8 (99):101163-101180.

Chicago/Turabian Style

Raef Aboelsaud; Ameena Saad Al-Sumaiti; Ahmed Ibrahim; Ivan V. Aleksandrov; Alexander G. Garganeev; Ahmed A. Zaki Diab. 2020. "Assessment of Model Predictive Voltage Control for Autonomous Four-Leg Inverter." IEEE Access 8, no. 99: 101163-101180.

Journal article
Published: 04 April 2020 in Applied Sciences
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In recent years, modular multilevel converters (MMC) are becoming popular in the distribution and transmission of electrical systems. The multilevel converter suffers from circulating current within the converter that increases the conduction loss of switches and increases the thermal stress on the capacitors and switches’ IGBTs. One of the main solutions to control the circulating current is to keep the capacitor voltage balanced in the MMC. In this paper, a new hybrid control algorithm for the cascaded modular multilevel converter is presented. The Harris hawk’s optimization (HHO) and Atom search optimization (ASO) are used to optimally design the controller of the hybrid MMC. The proposed structure of modular multilevel inverters allows effective operation, a low level of harmonic distortion in the absence of output voltage filters, a low switching frequency, and excellent flexibility to achieve the requirements of any voltage level. The effectiveness of the proposed controller and the multilevel converter has been verified through testing with the application of the MMC-static synchronous compensator (STATCOM). The stability of the voltage capacitors was monitored with balanced and unbalanced loads on the studied network.

ACS Style

Ahmed A. Zaki Diab; Terad Ebraheem; Raseel Aljendy; Hamdy M. Sultan; Ziad M. Ali. Optimal Design and Control of MMC STATCOM for Improving Power Quality Indicators. Applied Sciences 2020, 10, 2490 .

AMA Style

Ahmed A. Zaki Diab, Terad Ebraheem, Raseel Aljendy, Hamdy M. Sultan, Ziad M. Ali. Optimal Design and Control of MMC STATCOM for Improving Power Quality Indicators. Applied Sciences. 2020; 10 (7):2490.

Chicago/Turabian Style

Ahmed A. Zaki Diab; Terad Ebraheem; Raseel Aljendy; Hamdy M. Sultan; Ziad M. Ali. 2020. "Optimal Design and Control of MMC STATCOM for Improving Power Quality Indicators." Applied Sciences 10, no. 7: 2490.

Journal article
Published: 27 February 2020 in IEEE Access
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Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.

ACS Style

Omar Makram Kamel; Ahmed A. Zaki Diab; Ton Duc Do; Mahmoud A. Mossa. A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance. IEEE Access 2020, 8, 41566 -41587.

AMA Style

Omar Makram Kamel, Ahmed A. Zaki Diab, Ton Duc Do, Mahmoud A. Mossa. A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance. IEEE Access. 2020; 8 (99):41566-41587.

Chicago/Turabian Style

Omar Makram Kamel; Ahmed A. Zaki Diab; Ton Duc Do; Mahmoud A. Mossa. 2020. "A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance." IEEE Access 8, no. 99: 41566-41587.