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Mohamed A. Hassan
Center for Engineering Research, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia

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Journal article
Published: 28 May 2021 in Electric Power Systems Research
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This paper presents an adaptive robust Energy Management (EM) model for an isolated Microgrid (MG) to decide for the day-ahead optimal dispatch to effectively manage the MG power sources considering uncertainties in Renewable Energy Sources (RESs). The aim of this model is to minimize the operation costs, reactive power costs, spinning reserve and load shedding. Usually, fuel consumption costs of diesel generators are considered to be dependent on active power generation only. However, neglecting the related reactive power costs might result in increased operation costs and deviations from optimal dispatches. Hence, this paper optimizes the costs related to both active and reactive powers of diesel generators. Furthermore, simultaneous active/reactive power dispatch can lead to accurate operation decisions compared to separate dispatch for active or reactive power alone. In addition, this study considers the reactive power capability of inverter-interfaced Distributed Energy Resources (DERs) so that reactive powers can be supplied from inverter-interfaced DERs. Moreover, detailed models for the different resources are presented, especially for diesel generators and inverter interfaced DERs where actual capability curves are used instead of the widely used box constraints. The problem is formulated as nonlinear programming problem using GAMS program and solved by the CONOPT solver.

ACS Style

Shady M. Sadek; Walid A. Omran; M.A. Moustafa Hassan; Hossam E.A. Talaat. Adaptive robust energy management for isolated microgrids considering reactive power capabilities of distributed energy resources and reactive power costs. Electric Power Systems Research 2021, 199, 107375 .

AMA Style

Shady M. Sadek, Walid A. Omran, M.A. Moustafa Hassan, Hossam E.A. Talaat. Adaptive robust energy management for isolated microgrids considering reactive power capabilities of distributed energy resources and reactive power costs. Electric Power Systems Research. 2021; 199 ():107375.

Chicago/Turabian Style

Shady M. Sadek; Walid A. Omran; M.A. Moustafa Hassan; Hossam E.A. Talaat. 2021. "Adaptive robust energy management for isolated microgrids considering reactive power capabilities of distributed energy resources and reactive power costs." Electric Power Systems Research 199, no. : 107375.

Journal article
Published: 04 May 2021 in Superlattices and Microstructures
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Superlattice heterostructure of dislocation-free Ge quantum dots buried in Si spacer layers has been synthesized using ultra high vacuum-chemical vapor deposition technique. The heterostructure has been used as active layer in Si solar cells based upon vertical p-i-n junction configuration. Experiment shows that such solar cells exhibit strong repose to infrared radiation in contrast with the negligible response of solar cells with active layers of pure Si having the same thickness. A solar cell with 300 nm thick superlattice is shown to have thermodynamic efficiency of about 11.2%. This is correlated with the rather high quality of the heterostructure used in the present study as judged from photoluminescence spectroscopy and electron microscopy as well as strain and dark current measurements. It is concluded that such type of heterostructure may provide a pathway to develop efficient and cost effective solar cells.

ACS Style

H.M. Tawancy; M.O. Aboelfotoh; Mohamed A. Hassan; L.M. Alhems. Synthesis of superlattice heterostructure of germanium quantum dots in silicon spacer layers and its application in photovoltaic solar cells. Superlattices and Microstructures 2021, 155, 106924 .

AMA Style

H.M. Tawancy, M.O. Aboelfotoh, Mohamed A. Hassan, L.M. Alhems. Synthesis of superlattice heterostructure of germanium quantum dots in silicon spacer layers and its application in photovoltaic solar cells. Superlattices and Microstructures. 2021; 155 ():106924.

Chicago/Turabian Style

H.M. Tawancy; M.O. Aboelfotoh; Mohamed A. Hassan; L.M. Alhems. 2021. "Synthesis of superlattice heterostructure of germanium quantum dots in silicon spacer layers and its application in photovoltaic solar cells." Superlattices and Microstructures 155, no. : 106924.

Journal article
Published: 21 April 2021 in Mathematics
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Nowadays, behaving as constant power loads (CPLs), rectifiers and voltage regulators are extensively used in microgrids (MGs). The MG dynamic behavior challenges both stability and control effectiveness in the presence of CPLs. CPLs characteristics such as negative incremental resistance, synchronization, and control loop dynamic with similar frequency range of the inverter disturb severely the MG stability. Additionally, the MG stability problem will be more sophisticated with a high penetration level of CPLs in MGs. The stability analysis becomes more essential especially with high-penetrated CPLs. In this paper, the dynamic stability performance of an MG involving a high penetration level of CPLs is analyzed and investigated. An autonomous MG engaging a number of CPLs and inverter distributed generations (DGs) is modeled and designed using MATLAB. Voltage, current, and power controllers are optimally designed, controlling the inverter DGs output. A power droop controller is implemented to share the output DGs powers. Meanwhile, the current and voltage controllers are employed to control the output voltage and current of all DGs. A phase-locked loop (PLL) is essentially utilized to synchronize the CPLs with the MG. The controller gains of the inverters, CPLs, power sharing control, and PLL are optimally devised using particle swarm optimization (PSO). As a weighted objective function, the error in the DC voltage of the CPL and active power of the DG is minimized in the optimal problem based on the time-domain simulation. Under the presence of high penetrated CPLs, all controllers are coordinately tuned to ensure an enhanced dynamic stability of the MG. The impact of the highly penetrated CPLs on the MG dynamic stability is investigated. To confirm the effectiveness of the proposed technique, different disturbances are applied. The analysis shows that the MG system experiences the instability challenges due to the high penetrated CPLs. The simulation results confirm the effectiveness of the proposed method to improve the MG dynamic stability performance.

ACS Style

Mohamed Hassan; Muhammed Worku; Abdelfattah Eladl; Mohammed Abido. Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads. Mathematics 2021, 9, 922 .

AMA Style

Mohamed Hassan, Muhammed Worku, Abdelfattah Eladl, Mohammed Abido. Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads. Mathematics. 2021; 9 (9):922.

Chicago/Turabian Style

Mohamed Hassan; Muhammed Worku; Abdelfattah Eladl; Mohammed Abido. 2021. "Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads." Mathematics 9, no. 9: 922.

Research article electrical engineering
Published: 03 January 2021 in Arabian Journal for Science and Engineering
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This paper presents an efficient power management, voltage balancing and grid synchronization control strategy to increase the stability and reliability of distributed energy resources (DERs)-based microgrid. The microgrid is composed of Photovoltaic, Double Fed Induction Generator-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy have been developed in Real Time Digital Simulator. The coordination and power management of the DERs in both grid connected and island operation modes is implemented. One distinct challenge of microgrid operation in island mode is the stable control of frequency. A controller is proposed and implemented in the island mode for the diesel generator equipped with the required inertia to maintain the microgrid rated frequency by operating in the isochronous mode. To restore the microgrid back to the utility, the voltage, frequency and phase angle of the islanded microgrid should match with that of the grid network within specified limits to avoid transient instability. Switched capacitor banks are connected at the point of common coupling to balance the voltage for microgrid synchronization. The CIGRE medium voltage test bench system is used to implement the DERs and their controller. The proposed control approach has potential applications for the complete operation of microgrids by properly controlling the power, voltage and frequency in both grid and island modes. The real time digital simulator results verify the effectiveness and superiority of the proposed control scheme in grid connected, island and grid resynchronization scenarios.

ACS Style

Muhammed Y. Worku; Mohamed A. Hassan; Mohamed A. Abido. Power Management, Voltage Control and Grid Synchronization of Microgrids in Real Time. Arabian Journal for Science and Engineering 2021, 46, 1411 -1429.

AMA Style

Muhammed Y. Worku, Mohamed A. Hassan, Mohamed A. Abido. Power Management, Voltage Control and Grid Synchronization of Microgrids in Real Time. Arabian Journal for Science and Engineering. 2021; 46 (2):1411-1429.

Chicago/Turabian Style

Muhammed Y. Worku; Mohamed A. Hassan; Mohamed A. Abido. 2021. "Power Management, Voltage Control and Grid Synchronization of Microgrids in Real Time." Arabian Journal for Science and Engineering 46, no. 2: 1411-1429.

Chapter
Published: 01 January 2021 in Advances in Systems Analysis, Software Engineering, and High Performance Computing
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This chapter discusses modeling and analysis methods for fault detection and diagnosis of stator inter-turn short circuit in three-phase induction machines. dq frame was used to model the induction motor for both health and fault cases to facilitate recognition of motor current and simulate motor environment. Fault diagnosis system was designed with adaptive neuro-fuzzy inference system (ANFIS) to provide an efficient online diagnostic tool. ANFIS diagnostic tool was trained with simulated data that generated by induction motor healthy and faulty models. Approached tool is verified online with a motor under different loading conditions. It determines the fault severity values using the motor current signature analysis (MCSA). Developed tool performance is investigated with a case study of two HP three-phase induction motor using Matlab/Simulink® software.

ACS Style

Hussein. A. Taha; M. E. Ammar; M. A. Moustafa Hassan. Modeling, Analysis, of Induction Motor's Stator Turns Fault Using Neuro-Fuzzy. Advances in Systems Analysis, Software Engineering, and High Performance Computing 2021, 498 -520.

AMA Style

Hussein. A. Taha, M. E. Ammar, M. A. Moustafa Hassan. Modeling, Analysis, of Induction Motor's Stator Turns Fault Using Neuro-Fuzzy. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2021; ():498-520.

Chicago/Turabian Style

Hussein. A. Taha; M. E. Ammar; M. A. Moustafa Hassan. 2021. "Modeling, Analysis, of Induction Motor's Stator Turns Fault Using Neuro-Fuzzy." Advances in Systems Analysis, Software Engineering, and High Performance Computing , no. : 498-520.

Journal article
Published: 31 December 2020 in IEEE Access
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This paper proposes a two-stage stochastic energy management (EM) in an isolated microgrid (MG) to decide for the day-ahead optimal dispatch. The dispatch aims to effectively manage the MG power sources, including intermittent renewable energy sources (RESs), battery energy storage systems (BESSs), and diesel generators such that the expected operation costs, reactive power costs, spinning reserve, and load shedding are minimized. The Generative Adversarial Networks (GANs) is utilized in this paper as a data driven scenario generation method to model the uncertainties in the output power of the RESs to be used in the stochastic programming formulation. Then, the fast forward scenario reduction algorithm is used to reduce the number of scenarios with the help of SCENRED/GAMS software. Usually, fuel consumption costs of diesel generators are considered to be dependent on active power generation only. However, neglecting the related reactive power costs might result in increased operation costs and deviations in the dispatches from the optimal solutions. Hence, this paper co-optimizes the costs related to both active and reactive powers of diesel generators. In addition, this study considers the reactive power capability of inverter-interfaced distributed energy resources (DERs). Moreover, the detailed models for the different resources are presented, especially for diesel generators where the actual capability curves are used instead of the widely used box constraints. The problem is formulated as a nonlinear programming problem in the General Algebraic Modeling System (GAMS) software and is solved by the CONOPT solver.

ACS Style

Shady M. Sadek; Walid A. Omran; M. A. Moustafa Hassan; Hossam E. A. Talaat. Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs. IEEE Access 2020, 9, 5397 -5411.

AMA Style

Shady M. Sadek, Walid A. Omran, M. A. Moustafa Hassan, Hossam E. A. Talaat. Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs. IEEE Access. 2020; 9 ():5397-5411.

Chicago/Turabian Style

Shady M. Sadek; Walid A. Omran; M. A. Moustafa Hassan; Hossam E. A. Talaat. 2020. "Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs." IEEE Access 9, no. : 5397-5411.

Journal article
Published: 23 December 2020 in IEEE Access
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In this article, a new soft starting control scheme based on an artificial neural network (ANN) is presented for a three-phase induction motor (IM) drive system. The main task of the control scheme is to keep the accelerating torque constant at a level based on the value of reference acceleration. This is accomplished by the proper choice of the firing angles of thyristors in the soft starter. Using the ANN approach, the complexity of the online determination of the thyristors firing angles is resolved. The IM torque-speed characteristic curves are firstly used to train the ANN model. Secondly, the IM- soft starter system is modeled using MATLAB/SIMULINK. To prove the effectiveness of the proposed ANN-based acceleration control scheme, different reference accelerations and loading conditions are applied and investigated. Finally, a laboratory prototype of 3 kW soft starter is implemented. The proposed control scheme is executed in a real-time environment using a digital signal processor (Model: TMS320F28335). The simulation and real-time results significantly confirm that the proposed controller can efficiently reduce the IM starting current and torque pulsations. This in turn ensures a smooth acceleration of the IM during the starting process. Moreover, the proposed control scheme has the superiority over several soft starting control schemes since it has a simple control circuit configuration, less required sensors, and low computational burden of the control algorithm.

ACS Style

Amir Abdel Menaem; Mohamed Elgamal; Abdel-Haleem Abdel-Aty; Emad E. Mahmoud; Zhe Chen; Mohamed A. Hassan. A Proposed ANN-Based Acceleration Control Scheme for Soft Starting Induction Motor. IEEE Access 2020, 9, 4253 -4265.

AMA Style

Amir Abdel Menaem, Mohamed Elgamal, Abdel-Haleem Abdel-Aty, Emad E. Mahmoud, Zhe Chen, Mohamed A. Hassan. A Proposed ANN-Based Acceleration Control Scheme for Soft Starting Induction Motor. IEEE Access. 2020; 9 ():4253-4265.

Chicago/Turabian Style

Amir Abdel Menaem; Mohamed Elgamal; Abdel-Haleem Abdel-Aty; Emad E. Mahmoud; Zhe Chen; Mohamed A. Hassan. 2020. "A Proposed ANN-Based Acceleration Control Scheme for Soft Starting Induction Motor." IEEE Access 9, no. : 4253-4265.

Review article
Published: 01 December 2020 in Journal of Sensors
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IoT system becomes a hot topic nowadays for smart home. IoT helps devices to communicate together without human intervention inside home, so it is offering many challenges. A new smart home IoT platform powered using electromagnetic energy harvesting is proposed in this paper. It contains a high gain transmitted antenna array and efficient circularly polarized array rectenna system to harvest enough power from any direction to increase lifetime of the batteries used in the IoT system. Optimized energy consumption, the software with adopting the Zigbee protocol of the sensor node, and a low-power microcontroller are used to operate in lower power modes. The proposed system has an 84.6-day lifetime which is approximately 10 times the lifetime for a similar system. On the other hand, the proposed power management circuit is operated at 0.3 V DC to boost the voltage to ~3.7 V from radio frequency energy harvesting and manage battery level to increase the battery lifetime. A predictive indoor environment monitoring system is designed based on a novel hybrid system to provide a nonstatic plan, approve energy consumption, and avoid failure of sensor nodes in a smart home.

ACS Style

Nermeen A. Eltresy; Osama M. Dardeer; Awab Al-Habal; Esraa ElHariri; Abdelrhman M. Abotaleb; Dalia N. Elsheakh; Ahmed Khattab; Shereen A. Taie; Hassan Mostafa; Hala A. Elsadek; Esmat A. Abdallah. Smart Home IoT System by Using RF Energy Harvesting. Journal of Sensors 2020, 2020, 1 -14.

AMA Style

Nermeen A. Eltresy, Osama M. Dardeer, Awab Al-Habal, Esraa ElHariri, Abdelrhman M. Abotaleb, Dalia N. Elsheakh, Ahmed Khattab, Shereen A. Taie, Hassan Mostafa, Hala A. Elsadek, Esmat A. Abdallah. Smart Home IoT System by Using RF Energy Harvesting. Journal of Sensors. 2020; 2020 ():1-14.

Chicago/Turabian Style

Nermeen A. Eltresy; Osama M. Dardeer; Awab Al-Habal; Esraa ElHariri; Abdelrhman M. Abotaleb; Dalia N. Elsheakh; Ahmed Khattab; Shereen A. Taie; Hassan Mostafa; Hala A. Elsadek; Esmat A. Abdallah. 2020. "Smart Home IoT System by Using RF Energy Harvesting." Journal of Sensors 2020, no. : 1-14.

Journal article
Published: 10 September 2020 in Electronics
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In this paper, an efficient under frequency control and the energy management of a distributed energy resources (DERs)-based microgrid is presented. The microgrid is composed of a photovoltaic (PV), double-fed induction generator (DFIG)-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy are developed in a real time digital simulator (RTDS). The coordination and power management of the DERs in both grid-connected and islanded operation modes are implemented. During power imbalances and frequency fluctuations caused by fault or islanding, an advanced automatic load shedding control is implemented to regulate and maintain the microgrid frequency at its rated value. One distinct feature implemented for the load shedding operation is that highly unbalanced critical loads are connected to the microgrid. The diesel generator provides the required inertia in the islanded mode to maintain the microgrid rated frequency by operating in the isochronous mode. The International Council on Large Electric Systems (CIGRE) medium voltage (MV) test bench system is used to implement the DERs and their controller. The proposed control approach has potential applications for the complete operation of microgrids by properly controlling the power, voltage and frequency in both grid-connected and island modes. The real time digital simulator results verify the effectiveness and superiority of the proposed control scheme in grid connected, island and fault conditions.

ACS Style

Muhammed Y. Worku; Mohamed Hassan; Mohamed A. Abido. Real Time-Based under Frequency Control and Energy Management of Microgrids. Electronics 2020, 9, 1487 .

AMA Style

Muhammed Y. Worku, Mohamed Hassan, Mohamed A. Abido. Real Time-Based under Frequency Control and Energy Management of Microgrids. Electronics. 2020; 9 (9):1487.

Chicago/Turabian Style

Muhammed Y. Worku; Mohamed Hassan; Mohamed A. Abido. 2020. "Real Time-Based under Frequency Control and Energy Management of Microgrids." Electronics 9, no. 9: 1487.

Journal article
Published: 07 September 2020 in IEEE Access
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This paper investigates the technical performance of 230 kV field-aged composite insulators in the coastal region of Saudi Arabia. Two insulator samples removed from the 230 kV line after 20 years of service are assessed at KFUPM High Voltage Lab (KHVL). Different assessment techniques, such as visual inspection, contact angle, surface pollution severity, electrical withstand, and material characterization are utilized to evaluate the insulator performance. Equivalent salt deposit density (ESDD) and non-soluble deposit density (NSDD) techniques are used for the surface pollution severity measurements. Clear views of surface changes and surface hydrophobicity conditions are displayed. Scanning electron microscope (SEM), energy dispersive x-ray spectrometry (EDX), and Fourier-transform infrared spectroscopy (FTIR-IR) techniques are utilized for the material characterization. The visual inspection reveals small and big cracks in the insulator sheds. Hard breakable portion areas, many shed cuts, changed color areas, and whitish parts are visually noticed in the insulator surface. Such changes confirm the aging condition effect of the insulator units. Furthermore, the samples are subjected to laboratory clean fog tests to check the electrical performance of the samples. Informative results are given for the current condition and performance for the 20-years, field-aged insulators. Additionally, the experimental results are presented for the rest of the insulator life period. Utilization of the existing line insulators has been evaluated. Finally, discussions and recommendations for the future handling of the insulators at the 230 kV line are highlighted.

ACS Style

Luqman S. Maraaba; Khaled Y. Al Soufi; Luai M. Alhems; Mohamed A. Hassan. Performance Evaluation of 230 kV Polymer Insulators in the Coastal Area of Saudi Arabia. IEEE Access 2020, 8, 164292 -164303.

AMA Style

Luqman S. Maraaba, Khaled Y. Al Soufi, Luai M. Alhems, Mohamed A. Hassan. Performance Evaluation of 230 kV Polymer Insulators in the Coastal Area of Saudi Arabia. IEEE Access. 2020; 8 (99):164292-164303.

Chicago/Turabian Style

Luqman S. Maraaba; Khaled Y. Al Soufi; Luai M. Alhems; Mohamed A. Hassan. 2020. "Performance Evaluation of 230 kV Polymer Insulators in the Coastal Area of Saudi Arabia." IEEE Access 8, no. 99: 164292-164303.

Journal article
Published: 01 June 2020 in International Journal of Electrical and Computer Engineering (IJECE)
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This paper presents a generalized optimal placement of Phasor Measurement Units (PMUs) considering power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the availability of predefined locations of some PMUs and the preexisting communication devices (CDs) in some buses. Two cases for the location of the Control Center Base Station (CCBS) are considered; predefined case and free selected case. The PMUs placement and their required communication network topology and channel capacity are co-optimized simultaneously. In this study, two different approaches are applied to optimize the objective function; the first approach is combined from Binary Particle Swarm Optimization-Gravitational Search Algorithm (BPSOGSA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based only on BPSOGSA. The feasibility of the proposed approaches are examined by applying it to IEEE 14-bus and IEEE 118-bus systems.

ACS Style

M. M. H. Elroby; S. F. Mekhamer; H. E. A. Talaat; Mohamed Ahmed Moustafa Hassan. Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements. International Journal of Electrical and Computer Engineering (IJECE) 2020, 10, 2824 -2841.

AMA Style

M. M. H. Elroby, S. F. Mekhamer, H. E. A. Talaat, Mohamed Ahmed Moustafa Hassan. Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements. International Journal of Electrical and Computer Engineering (IJECE). 2020; 10 (3):2824-2841.

Chicago/Turabian Style

M. M. H. Elroby; S. F. Mekhamer; H. E. A. Talaat; Mohamed Ahmed Moustafa Hassan. 2020. "Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3: 2824-2841.

Journal article
Published: 01 June 2020 in International Journal of Electrical and Computer Engineering (IJECE)
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A new efficient improvement, called Predictive Particle Modification (PPM), is proposed in this paper. This modification makes the particle look to the near area before moving toward the best solution of the group. This modification can be applied to any population algorithm. The basic philosophy of PPM is explained in detail. To evaluate the performance of PPM, it is applied to Particle Swarm Optimization (PSO) algorithm and Teaching Learning Based Optimization (TLBO) algorithm then tested using 23 standard benchmark functions. The effectiveness of these modifications are compared with the other unmodified population optimization algorithms based on the best solution, average solution, and convergence rate.

ACS Style

M. M. H. Elroby; S. F. Mekhamer; H. E. A. Talaat; Mohamed Ahmed Moustafa Hassan. Population based optimization algorithms improvement using the predictive particles. International Journal of Electrical and Computer Engineering (IJECE) 2020, 10, 3261 -3274.

AMA Style

M. M. H. Elroby, S. F. Mekhamer, H. E. A. Talaat, Mohamed Ahmed Moustafa Hassan. Population based optimization algorithms improvement using the predictive particles. International Journal of Electrical and Computer Engineering (IJECE). 2020; 10 (3):3261-3274.

Chicago/Turabian Style

M. M. H. Elroby; S. F. Mekhamer; H. E. A. Talaat; Mohamed Ahmed Moustafa Hassan. 2020. "Population based optimization algorithms improvement using the predictive particles." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3: 3261-3274.

Journal article
Published: 01 March 2020 in Indonesian Journal of Electrical Engineering and Computer Science
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With the widespread of using distributed generation, the connection of DGs in the distribution system causes miscoordination between protective devices. This paper introduces the problems associated with recloser fuse miscoordination (RFM) in the presence of single and multiple DG in a radial distribution system. Two Multi objective optimization problems are presented. The first is based on technical impacts to determine the optimal size and location of DG considering system power loss reduction and enhancement the voltage profile with a certain constraints and the second is used for minimizing the operating time of all fuses and recloser with obtaining the optimum settings of fuse recloser coordination characteristics. Whale Optimizer algorithm (WOA) emulated RFM as an optimization problem. The performance of the proposed methodology is applied to the standard IEEE 33 node test system. The results show the robustness of the proposed algorithm for solving the RFM problem with achieving system power loss reduction and voltage profile enhancement.

ACS Style

Ahmed Mohamed Abdelbaset; AboulFotouh A. Mohamed; Essam Abou El-Zahab; Mohamed Ahmed Moustafa Hassan. Recloser-Fuse settings in distribution systems with optimizing multiple distributed generation considering technical aspects. Indonesian Journal of Electrical Engineering and Computer Science 2020, 17, 1135 -1149.

AMA Style

Ahmed Mohamed Abdelbaset, AboulFotouh A. Mohamed, Essam Abou El-Zahab, Mohamed Ahmed Moustafa Hassan. Recloser-Fuse settings in distribution systems with optimizing multiple distributed generation considering technical aspects. Indonesian Journal of Electrical Engineering and Computer Science. 2020; 17 (3):1135-1149.

Chicago/Turabian Style

Ahmed Mohamed Abdelbaset; AboulFotouh A. Mohamed; Essam Abou El-Zahab; Mohamed Ahmed Moustafa Hassan. 2020. "Recloser-Fuse settings in distribution systems with optimizing multiple distributed generation considering technical aspects." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3: 1135-1149.

Articles
Published: 31 December 2019 in International Journal of Modelling and Simulation
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This paper proposes a new method for diagnosis Broken Rotor Bar (BRB) faults in three phase squirrel-cage induction motors. The proposed method is based on the stator current signature analysis using Discrete Wavelet Transform (DWT) and Adaptive Neural Fuzzy Inference System (ANFIS) artificial intelligence approach. The DWT technique plays an important role for signal feature extraction. The abnormal transient signals can be applied to recognize the BRB faults by DWT. The DWT is considered to identify fault features accurately. The dataset is established by feature vectors are applied as input pattern in the training and identification process. Furthermore, the ANFIS is proposed to classify and identify the BRB fault. The fault diagnosis is verified experimentally on 1.5 Hp three phase induction motor under different fault conditions and different load conditions. The experiment results demonstrate that this technique is valid and effective for the BRB faults diagnosis.

ACS Style

Menshawy A. Mohamed; Al-Attar Ali Mohamed; Mohamed Abdel-Nasser; Essam E. M. Mohamed; M. A. Moustafa Hassan. Induction motor broken rotor bar faults diagnosis using ANFIS-based DWT. International Journal of Modelling and Simulation 2019, 1 -14.

AMA Style

Menshawy A. Mohamed, Al-Attar Ali Mohamed, Mohamed Abdel-Nasser, Essam E. M. Mohamed, M. A. Moustafa Hassan. Induction motor broken rotor bar faults diagnosis using ANFIS-based DWT. International Journal of Modelling and Simulation. 2019; ():1-14.

Chicago/Turabian Style

Menshawy A. Mohamed; Al-Attar Ali Mohamed; Mohamed Abdel-Nasser; Essam E. M. Mohamed; M. A. Moustafa Hassan. 2019. "Induction motor broken rotor bar faults diagnosis using ANFIS-based DWT." International Journal of Modelling and Simulation , no. : 1-14.

Research article
Published: 11 November 2019 in Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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This article discusses a system identification based on a black-box state-space model for an experimental electro-hydraulic servo system. Furthermore, it presents force-tracking control for the electro-hydraulic servo system based on model predictive control. The parameters of model predictive controls have been tuned by cuckoo search algorithm as well as genetic algorithm. The realization of model predictive controls depends on using a data acquisition card (NI-6014) and Simulink/MATLAB as the core of the electro-hydraulic servo system control system. In this research, the combination of model predictive control tuned by cuckoo search algorithm and genetic algorithm has been introduced in the form of switching model predictive controls. This combination collects the advantages of two model predictive controls in one model predictive control by switching model predictive controls. The simulation and experimental results display that the suggested switching of model predictive controls introduces a good tracking performance in terms of settling time, rise time, and system overshoots as compared to the two separated model predictive controls. In addition, the experimental evaluation has shown that the proposed switching model predictive controls achieved a stable and robust control system even facing to a different reference command signals (step, multistep, and sinusoidal signals). Moreover, its behavior is more robust for system parameters perturbation and small or large perturbation of disturbances in the working environment. It also achieves the necessitated physical limits of the actuator. As a general conclusion and a deep study of electro-hydraulic servo system, one can conclude that the switching strategy between model predictive control tuned by cuckoo search algorithm and by genetic algorithm has the priority of applying it on the field of electro-hydraulic servo system. The proposed new strategy (switching of model predictive control) is promising in experimental applications.

ACS Style

Mohamed El-Sayed M Essa; Magdy Aboelela; Mohamed Ahmed Moustafa Hassan; Sm Abdrabbo. Design of model predictive force control for hydraulic servo system based on cuckoo search and genetic algorithms. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 2019, 1 .

AMA Style

Mohamed El-Sayed M Essa, Magdy Aboelela, Mohamed Ahmed Moustafa Hassan, Sm Abdrabbo. Design of model predictive force control for hydraulic servo system based on cuckoo search and genetic algorithms. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 2019; ():1.

Chicago/Turabian Style

Mohamed El-Sayed M Essa; Magdy Aboelela; Mohamed Ahmed Moustafa Hassan; Sm Abdrabbo. 2019. "Design of model predictive force control for hydraulic servo system based on cuckoo search and genetic algorithms." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering , no. : 1.

Journal article
Published: 21 October 2019 in Sustainability
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Distributed generation (DG) units are utilized to feed their closed loads in the autonomous microgrid. While in the grid-connected microgrid, they are integrated to support the utility by their required real and reactive powers. To achieve this goal, these integrated DGs must be controlled well. In this paper, an optimal PQ control scheme is proposed to control and share a predefined injected real and reactive powers of the inverter based DGs. The control problem is optimally designed and investigated to search for the optimal controller parameters by minimizing the error between the reference and calculated powers using particle swarm optimization (PSO). Microgrid containing inverter-based DG, PLL, coupling inductance, LC filter, power and current controllers is implemented on MATLAB. Two microgrid cases with different structure are studied and discussed. In both cases, the microgrid performance is investigated under different disturbances such as three-phase fault and step changes. The simulation results show that the proposed optimal control improves the microgrid dynamic stability. Additionally, the considered microgrids are implemented on real time digital simulator (RTDS). The experimental results verify the effectiveness and tracking capability of the proposed controllers and show close agreement with the simulation results. Finally, the comparison with the literature confirms the effectiveness of the proposed control scheme.

ACS Style

Mohamed Hassan; Muhammed Y. Worku; Mohamed A. Abido. Optimal Power Control of Inverter-Based Distributed Generations in Grid-Connected Microgrid. Sustainability 2019, 11, 5828 .

AMA Style

Mohamed Hassan, Muhammed Y. Worku, Mohamed A. Abido. Optimal Power Control of Inverter-Based Distributed Generations in Grid-Connected Microgrid. Sustainability. 2019; 11 (20):5828.

Chicago/Turabian Style

Mohamed Hassan; Muhammed Y. Worku; Mohamed A. Abido. 2019. "Optimal Power Control of Inverter-Based Distributed Generations in Grid-Connected Microgrid." Sustainability 11, no. 20: 5828.

Journal article
Published: 01 October 2019 in Heliyon
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In this study, the PMUs are placed to operate in normal and islanded cases taking into account power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the preexisting Communication Devices (CDs) and the availability of predefined locations of some PMUs in some buses. The PMUs placement and their communication network topology and link channel capacity are co-optimized simultaneously. Two different approaches are applied to optimize the objective function; the first approach is combined from Binary Teaching Learning Based Optimization Algorithm (BTLBOA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based on BTLBOA. The proposed approaches are examined using IEEE 118-bus systems.

ACS Style

M.M.H. Elroby; S.F. Mekhamer; H.E.A. Talaat; Mohamed Ahmed Moustafa Hassan. Optimal placement of phasor measurement units considering islanding contingency, communication infrastructure, and quality of service. Heliyon 2019, 5, e02538 .

AMA Style

M.M.H. Elroby, S.F. Mekhamer, H.E.A. Talaat, Mohamed Ahmed Moustafa Hassan. Optimal placement of phasor measurement units considering islanding contingency, communication infrastructure, and quality of service. Heliyon. 2019; 5 (10):e02538.

Chicago/Turabian Style

M.M.H. Elroby; S.F. Mekhamer; H.E.A. Talaat; Mohamed Ahmed Moustafa Hassan. 2019. "Optimal placement of phasor measurement units considering islanding contingency, communication infrastructure, and quality of service." Heliyon 5, no. 10: e02538.

Preprint
Published: 30 September 2019
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BackgroundHyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome is an autosomal recessive inborn error of the urea cycle. It is caused by mutations in the SLC25A15 gene that codes the mitochondrial ornithine transporter. The aim of this study is to detect and identify the pathogenic SNPs in SLC25A15 gene through a combination set of bioinformatics tools and their effect on the structure and function of the protein.MethodsThe deleterious SNPs in SLC25A15 are detected by various bioinformatics tools, with addition to identifying their effects on the structure and function of this gene.Results20 deleterious SNPs out 287of were found to have their own damaging effects on the structure and function of the SLC25A15 gene.ConclusionThis study is the first in silico analysis of SLC25A15 using a selection of bioinformatics tools to detect functional and structural effects of deleterious SNPs. Finding the pathogenic SNPs is a promising start to innovate new, useful SNP diagnostic markers for medical testing and for safer novel therapies specifically targeting mutant SLC25A15.

ACS Style

Nuha A. Mahmoud; Dina T. Ahmed; Zainab O. Mohammed; Fatima A. Altyeb; Mujahed I. Mustafa; Mohamed A. Hassan. The Association between SLC25A15 Gene Polymorphisms and Hyperornithinemia-hyperammonemia-homocitrullinuria Syndrome: Using In Silico Analysis. 2019, 786301 .

AMA Style

Nuha A. Mahmoud, Dina T. Ahmed, Zainab O. Mohammed, Fatima A. Altyeb, Mujahed I. Mustafa, Mohamed A. Hassan. The Association between SLC25A15 Gene Polymorphisms and Hyperornithinemia-hyperammonemia-homocitrullinuria Syndrome: Using In Silico Analysis. . 2019; ():786301.

Chicago/Turabian Style

Nuha A. Mahmoud; Dina T. Ahmed; Zainab O. Mohammed; Fatima A. Altyeb; Mujahed I. Mustafa; Mohamed A. Hassan. 2019. "The Association between SLC25A15 Gene Polymorphisms and Hyperornithinemia-hyperammonemia-homocitrullinuria Syndrome: Using In Silico Analysis." , no. : 786301.

Preprint
Published: 05 September 2019
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BackgroundGenetic polymorphisms in the ADAMTS13 gene are associated with thrombotic thrombocytopenic purpura or TTP, a life-threatening microangiopathic disorder. This study aims to predict the possible pathogenic SNPs of this gene and their impact on the protein structure and function using insilico methods.MethodsSNPs retrieved from the NCBI database were analyzed using several bioinformatics tools. The different algorithms applied collectively to predictthe effect of single nucleotide substitution on both structure and function of the ADAMTS13 protein.ResultsFifty one mutations were found to be highly damaging to the structure and function of the protein. Of those, thirty five were novel nsSNPs not previously reported in the literature.ConclusionAccording to our analysis we found thirty five nsSNPs effects on ADAMTS13 protein leading to thrombotic thrombocytopenic purpura using computational approach. Bioinformatics tools are vital in prediction analysis, making use of increasingly voluminous biomedical data thereby providing markers for screening or for genetic mapping studies.

ACS Style

Tebyan Ameer Abdelhameed; Arwa Ibrahim Ahmed; Mujahed Ibrahim Mustafa; Amel Nasir Eltayeb; Fatima A. Abdelrhman; Amal Basheer Ahmed; Najla Basheer Ahmed; Hiba Yassin Khadir; Adla M. Hassan; Huda Khalid Mohamed; Soada Ahmed Osman; Mustafa Elhag; Mohamed Ahmed Hassan; Amal N. Eltayeb; Mohamed Ahmed Hassan Salih. Thirty five novel nsSNPs may effect on ADAMTS13 protein leading to Thrombotic thrombocytopenic purpura (TTP) using bioinformatics approach. 2019, 759787 .

AMA Style

Tebyan Ameer Abdelhameed, Arwa Ibrahim Ahmed, Mujahed Ibrahim Mustafa, Amel Nasir Eltayeb, Fatima A. Abdelrhman, Amal Basheer Ahmed, Najla Basheer Ahmed, Hiba Yassin Khadir, Adla M. Hassan, Huda Khalid Mohamed, Soada Ahmed Osman, Mustafa Elhag, Mohamed Ahmed Hassan, Amal N. Eltayeb, Mohamed Ahmed Hassan Salih. Thirty five novel nsSNPs may effect on ADAMTS13 protein leading to Thrombotic thrombocytopenic purpura (TTP) using bioinformatics approach. . 2019; ():759787.

Chicago/Turabian Style

Tebyan Ameer Abdelhameed; Arwa Ibrahim Ahmed; Mujahed Ibrahim Mustafa; Amel Nasir Eltayeb; Fatima A. Abdelrhman; Amal Basheer Ahmed; Najla Basheer Ahmed; Hiba Yassin Khadir; Adla M. Hassan; Huda Khalid Mohamed; Soada Ahmed Osman; Mustafa Elhag; Mohamed Ahmed Hassan; Amal N. Eltayeb; Mohamed Ahmed Hassan Salih. 2019. "Thirty five novel nsSNPs may effect on ADAMTS13 protein leading to Thrombotic thrombocytopenic purpura (TTP) using bioinformatics approach." , no. : 759787.

Conference paper
Published: 01 September 2019 in 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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ACS Style

Omnia S. S. Hussian; Hany M. Elsayed; Mohamed Ahmed Moustafa Hassan. Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique. 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) 2019, 1 .

AMA Style

Omnia S. S. Hussian, Hany M. Elsayed, Mohamed Ahmed Moustafa Hassan. Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique. 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). 2019; ():1.

Chicago/Turabian Style

Omnia S. S. Hussian; Hany M. Elsayed; Mohamed Ahmed Moustafa Hassan. 2019. "Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique." 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) , no. : 1.