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Ali S. Alghamdi
Department of Electrical Engineering, College of Engineering, Majmaah University, Majmaah 11952, Saudi Arabia

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Journal article
Published: 22 April 2021 in Sustainability
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Hybrid microgrids are presented as a solution to many electrical energetic problems. These microgrids contain some renewable energy sources such as photovoltaic (PV), wind and biomass, or a hybrid of these sources, in addition to storage systems. Using these microgrids in electric power generation has many advantages such as clean energy, stability in supplying power, reduced grid congestion and a new investment field. Despite all these microgrids advantages, they are not widely used due to some economic aspects. These aspects are represented in the net present cost (NPC) and the levelized cost of energy (LCOE). To handle these economic aspects, the proper microgrids configuration according to the quantity, quality and availability of the sustainable source of energy in installing the microgrid as well as the optimal design of the microgrid components should be investigated. The objective of this paper is to design an economic microgrid system for the Yanbu region of Saudi Arabia. This design aims to select the best microgrid configuration while minimizing both NPC and LCOE considering some technical conditions, including loss of power supply probability and availability index. The optimization algorithm used is Giza Pyramids Construction (GPC). To prove the GPC algorithm’s effectiveness in solving the studied optimization problem, artificial electric field and grey wolf optimizer algorithms are used for comparison purposes. The obtained results demonstrate that the best configuration for the selected area is a PV/biomass hybrid microgrid with a minimum NPC and LCOE of $319,219 and $0.208/kWh, respectively.

ACS Style

Mohammed Kharrich; Salah Kamel; Ali Alghamdi; Ahmad Eid; Mohamed Mosaad; Mohammed Akherraz; Mamdouh Abdel-Akher. Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia. Sustainability 2021, 13, 4708 .

AMA Style

Mohammed Kharrich, Salah Kamel, Ali Alghamdi, Ahmad Eid, Mohamed Mosaad, Mohammed Akherraz, Mamdouh Abdel-Akher. Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia. Sustainability. 2021; 13 (9):4708.

Chicago/Turabian Style

Mohammed Kharrich; Salah Kamel; Ali Alghamdi; Ahmad Eid; Mohamed Mosaad; Mohammed Akherraz; Mamdouh Abdel-Akher. 2021. "Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia." Sustainability 13, no. 9: 4708.

Journal article
Published: 15 March 2021 in Electronics
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In this paper, an optimal design of a microgrid including four houses in Dakhla city (Morocco) is proposed. To make this study comprehensive and applicable to any hybrid system, each house has a different configuration of renewable energies. The configurations of these four houses are PV/wind turbine (WT)/biomass/battery, PV/biomass, PV/diesel/battery, and WT/diesel/battery systems. The comparison factor among these configurations is the cost of energy (COE), comparative index, where the load is different in the four houses. Otherwise, the main objective function is the minimization of the net present cost (NPC), subject to several operating constraints, the power loss, the power generated by the renewable sources (renewable fraction), and the availability. This objective function is achieved using a developed optimization algorithm. The main contribution of this paper is to propose and apply a new optimization technique for the optimal design of a microgrid considering different economic and ecological aspects. The developed optimization algorithm is based on the hybridization of two metaheuristic algorithms, the invasive weed optimization (IWO) and backtracking search algorithm (BSA), with the aim of collecting the advantages of both. The proposed hybrid optimization algorithm (IWO/BSA) is compared with the original two optimization methods (IWO and BSA) as well as other well-known optimization methods. The results indicate that PV/biomass and PV/diesel/battery systems have the best energy cost using the proposed IWO/BSA algorithm with 0.1184 $/kWh and 0.1354 $/kWh, respectively. The best system based on its LCOE factor is the PV/biomass which represents an NPC of 124,689 $, the size of this system is 349.55 m2 of PV area and the capacity of the biomass is 18.99 ton/year. The PV/diesel/battery option has also good results, with a system NPC of 142,233 $, the size of this system is about 391.39 m2 of PV area, rated power of diesel generator about 0.55 kW, and a battery capacity of 12.97 kWh. Otherwise, the proposed IWO/BSA has the best convergence in all cases. It is observed that the wind turbine generates more dumped power, and the PV system is highly suitable for the studied area.

ACS Style

Mohammed Kharrich; Salah Kamel; Rachid Ellaia; Mohammed Akherraz; Ali Alghamdi; Mamdouh Abdel-Akher; Ahmad Eid; Mohamed Mosaad. Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm. Electronics 2021, 10, 687 .

AMA Style

Mohammed Kharrich, Salah Kamel, Rachid Ellaia, Mohammed Akherraz, Ali Alghamdi, Mamdouh Abdel-Akher, Ahmad Eid, Mohamed Mosaad. Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm. Electronics. 2021; 10 (6):687.

Chicago/Turabian Style

Mohammed Kharrich; Salah Kamel; Rachid Ellaia; Mohammed Akherraz; Ali Alghamdi; Mamdouh Abdel-Akher; Ahmad Eid; Mohamed Mosaad. 2021. "Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm." Electronics 10, no. 6: 687.

Journal article
Published: 10 March 2021 in Energies
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Buildings in hot climate areas are responsible for high energy consumption due to high cooling load requirements which lead to high greenhouse gas emissions. In order to curtail the stress on the national grid and reduce the atmospheric emissions, it is of prime importance that buildings produce their own onsite electrical energy using renewable energy resources. Photovoltaic (PV) technology is the most favorable option to produce onsite electricity in buildings. Installation of PV modules on the roof of the buildings in hot climate areas has a twofold advantage of acting as a shading device for the roof to reduce the cooling energy requirement of the building while producing electricity. A high ground coverage ratio provides more shading, but it decreases the efficiency of the PV system because of self-shading of the PV modules. The aim of this paper was to determine the optimal value of the ground coverage ratio which gives maximum overall performance of the roof-mounted PV system by considering roof surface shading and self-shading of the parallel PV modules. An unsupervised artificial neural network approach was implemented for Net levelized cost of energy (Net-LCOE) optimization. The gradient decent learning rule was used to optimize the network connection weights and the optimal ground coverage ratio was obtained. The proposed optimized roof-mounted PV system was shown to have many distinct performance advantages over a typical ground-mounted PV configuration such as 2.9% better capacity factor, 15.9% more energy yield, 40% high performance ratio, 14.4% less LCOE, and 18.6% shorter payback period. The research work validates that a roof-mounted PV system in a hot climate area is a very useful option to meet the energy demand of buildings.

ACS Style

Ali Alghamdi. Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio. Energies 2021, 14, 1537 .

AMA Style

Ali Alghamdi. Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio. Energies. 2021; 14 (6):1537.

Chicago/Turabian Style

Ali Alghamdi. 2021. "Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio." Energies 14, no. 6: 1537.

Journal article
Published: 19 February 2021 in Sustainability
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In this paper, an improved Maximum Power Point Tracking (MPPT) algorithm for a tidal power generation system using a Support Vector Regression (SVR) is proposed. To perform this MPPT, a tidal current speed sensor is needed to track the maximum power. The use of these sensors has a lack of reliability, requires maintenance, and has a disadvantage in terms of price. Therefore, there is a need for a sensorless MPPT control algorithm that does not require information on tidal current speed and rotation speed that improves these shortcomings. Sensorless MPPT control methods, such as SVR, enables the maximum power to be output by comparing the relationship between the output power and the rotational speed of the generator. The performance of the SVR is influenced by the selection of its parameters which is optimized during the offline training stage. SVR has a strength and better response than the neural network since it ensures the global minimum and avoids being stuck at local minima. This paper proposes a high-efficiency grid-connected tidal current generation system with a permanent magnet synchronous generator back-to-back converter. The proposed algorithm is verified experimentally and the results confirm the excellent control characteristics of the proposed algorithm.

ACS Style

Ahmed Abo-Khalil; Ali Alghamdi. MPPT of Permanent Magnet Synchronous Generator in Tidal Energy Systems Using Support Vector Regression. Sustainability 2021, 13, 2223 .

AMA Style

Ahmed Abo-Khalil, Ali Alghamdi. MPPT of Permanent Magnet Synchronous Generator in Tidal Energy Systems Using Support Vector Regression. Sustainability. 2021; 13 (4):2223.

Chicago/Turabian Style

Ahmed Abo-Khalil; Ali Alghamdi. 2021. "MPPT of Permanent Magnet Synchronous Generator in Tidal Energy Systems Using Support Vector Regression." Sustainability 13, no. 4: 2223.

Journal article
Published: 07 February 2021 in Electronics
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Optimal inclusion of a photovoltaic system and wind energy resources in electrical grids is a strenuous task due to the continuous variation of their output powers and stochastic nature. Thus, it is mandatory to consider the variations of the Renewable energy resources (RERs) for efficient energy management in the electric system. The aim of the paper is to solve the energy management of a micro-grid (MG) connected to the main power system considering the variations of load demand, photovoltaic (PV), and wind turbine (WT) under deterministic and probabilistic conditions. The energy management problem is solved using an efficient algorithm, namely equilibrium optimizer (EO), for a multi-objective function which includes cost minimization, voltage profile improvement, and voltage stability improvement. The simulation results reveal that the optimal installation of a grid-connected PV unit and WT can considerably reduce the total cost and enhance system performance. In addition to that, EO is superior to both whale optimization algorithm (WOA) and sine cosine algorithm (SCA) in terms of the reported objective function.

ACS Style

Deyaa Ahmed; Mohamed Ebeed; Abdelfatah Ali; Ali Alghamdi; Salah Kamel. Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources. Electronics 2021, 10, 403 .

AMA Style

Deyaa Ahmed, Mohamed Ebeed, Abdelfatah Ali, Ali Alghamdi, Salah Kamel. Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources. Electronics. 2021; 10 (4):403.

Chicago/Turabian Style

Deyaa Ahmed; Mohamed Ebeed; Abdelfatah Ali; Ali Alghamdi; Salah Kamel. 2021. "Multi-Objective Energy Management of a Micro-Grid Considering Stochastic Nature of Load and Renewable Energy Resources." Electronics 10, no. 4: 403.

Journal article
Published: 14 December 2020 in Sustainability
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This article focuses on the energy-saving of each driving distance for battery electric vehicle (BEV) applications, by developing a more effective energy management strategy (EMS), under different driving cycles. Fuzzy logic control (FLC) is suggested to control the power management unit (PMU) for the battery management system (BMS) for BEV applications. The adaptive neural fuzzy inference system (ANFIS) is a modeling technique that is mainly based on data. Membership functions and FLC rules can be improved by simply training the ANFIS with real driving cycle data gathered from the MATLAB/SIMULINK program. Then, FLC console blocks are rewritten by enhanced membership functions by ANFIS traineeship. Two different driving cycles are chosen to check the improvement in the efficiency of this proposed system. The suggested control system is validated by simulation and comparison with the traditional proportional-integral (PI) control. The optimized FLC shows better energy-saving.

ACS Style

Khairy Sayed; Ahmed Kassem; Hedra Saleeb; Ali Alghamdi; Ahmed Abo-Khalil. Energy-Saving of Battery Electric Vehicle Powertrain and Efficiency Improvement during Different Standard Driving Cycles. Sustainability 2020, 12, 10466 .

AMA Style

Khairy Sayed, Ahmed Kassem, Hedra Saleeb, Ali Alghamdi, Ahmed Abo-Khalil. Energy-Saving of Battery Electric Vehicle Powertrain and Efficiency Improvement during Different Standard Driving Cycles. Sustainability. 2020; 12 (24):10466.

Chicago/Turabian Style

Khairy Sayed; Ahmed Kassem; Hedra Saleeb; Ali Alghamdi; Ahmed Abo-Khalil. 2020. "Energy-Saving of Battery Electric Vehicle Powertrain and Efficiency Improvement during Different Standard Driving Cycles." Sustainability 12, no. 24: 10466.

Journal article
Published: 14 October 2020 in Sustainability
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Currently, among the topologies of wind energy conversion systems, those based on full power converters are growing. The permanent magnet synchronous generator (PMSG) uses full power converter to allow wide speed ranges to extract the maximum power from the wind. In order to obtain efficient vector control in a synchronous generator with permanent magnets, it is necessary to know the position of the rotor. The PMSGs work over a wide range of speed, and it is mandatory to measure or estimate their speed and position. Usually, the position of the rotor is obtained through Resolver or Encoder. However, the presence of these sensor elements increases the cost, in addition to reducing the system’s reliability. Moreover, in high wind power turbine, the measured wind speed by the anemometer is taken at the level of the blades which makes the measurement of the wind speed at a single point inaccurate. This paper is a study on the sensorless control that removes the rotor position, speed sensors and anemometer from the speed control. The estimation of the rotor position is based on the output of a rotor current controller and the wind speed estimator is based on the opposition-based learning (OBL), particle swarm optimization and support vector regression.

ACS Style

Ahmed Abo-Khalil; Ali Eltamaly; Praveen R.P.; Ali Alghamdi; Iskander Tlili. A Sensorless Wind Speed and Rotor Position Control of PMSG in Wind Power Generation Systems. Sustainability 2020, 12, 8481 .

AMA Style

Ahmed Abo-Khalil, Ali Eltamaly, Praveen R.P., Ali Alghamdi, Iskander Tlili. A Sensorless Wind Speed and Rotor Position Control of PMSG in Wind Power Generation Systems. Sustainability. 2020; 12 (20):8481.

Chicago/Turabian Style

Ahmed Abo-Khalil; Ali Eltamaly; Praveen R.P.; Ali Alghamdi; Iskander Tlili. 2020. "A Sensorless Wind Speed and Rotor Position Control of PMSG in Wind Power Generation Systems." Sustainability 12, no. 20: 8481.

Journal article
Published: 21 April 2020 in IEEE Access
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The increasing penetration of Microgrids (MGs) into existing power systems and “plug and play” capability of Distributed Generators (DGs) causes large overshoots and settling times along with various power quality issues such as voltage and frequency flickers, current harmonics and short current transients. In this context, over the past few years, considerable research has been undertaken to investigate and address the mentioned issues using different control schemes in conjunction with soft computational techniques. The recent trends and advancements in the field of Artificial Intelligence (AI) have led the development of Swarm Intelligence (SI) based optimized controllers for smooth Renewable Energy Sources (RES) penetration and optimal voltage, frequency, and power-sharing regulation. Moreover, the recent studies have proved that the SI-based controllers provide enhanced dynamic response, optimized power quality and improved the dynamic stability of the MG systems as compared to the conventional control methods. Their importance in modern AC MG architectures can be judged from the growing number of publications in the recent past. However, literature, pertaining to SI applications to AC MG, is scattered with no comprehensive review on this significant development. As such, this study provides an overview of 15 different SI optimization techniques as applied to AC MG controls from 43 research publications including a detailed review of one of the elementary and most widely used SI based metaheuristic optimization algorithms called Particle Swarm Optimization (PSO) algorithm. This comprehensive review provides a valuable one-stop source of knowledge for the researchers and experts working on SI controller’s applications for AC MG dynamic response and power quality improvements.

ACS Style

Touqeer Ahmed Jumani; Mohd. Wazir Mustafa; Ali S. Alghamdi; Madihah Md. Rasid; Arbab Alamgir; Ahmed Bilal Awan. Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review. IEEE Access 2020, 8, 75986 -76001.

AMA Style

Touqeer Ahmed Jumani, Mohd. Wazir Mustafa, Ali S. Alghamdi, Madihah Md. Rasid, Arbab Alamgir, Ahmed Bilal Awan. Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review. IEEE Access. 2020; 8 (99):75986-76001.

Chicago/Turabian Style

Touqeer Ahmed Jumani; Mohd. Wazir Mustafa; Ali S. Alghamdi; Madihah Md. Rasid; Arbab Alamgir; Ahmed Bilal Awan. 2020. "Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review." IEEE Access 8, no. 99: 75986-76001.

Journal article
Published: 12 March 2020 in IEEE Access
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In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution systems. Harris hawks optimizer (HHO) is a anew inspired meta-heuristic optimization technique that is mainly based on the intelligence behavior of the Harris hawks in chasing prey. The IHHO and MOIHHO are applied for determining the optimal size and location of DG with the aim of minimizing the total active power loss, reducing the voltage deviation (VD), and increasing the voltage stability index (VSI) with considering operational constraints of distribution system. In IHHO, the performance of conventional HHO algorithm is improved using the rabbit location instead of the random location. In MOIHHO, a developed grey relation analysis is applied for identifying the best compromise solution among the non-dominance Pareto solutions. To verify the effectiveness of the proposed algorithms, IEEE 33-bus and IEEE 69-bus radial distribution systems are used, and the obtained results are compared with the other optimization techniques which utilized for the same problem. The results prove the efficiency of the proposed algorithms in terms of best solutions obtained so far for the single- and multi-objective scenarios.

ACS Style

Ali Selim; Salah Kamel; Ali S. Alghamdi; Francisco Jurado. Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches. IEEE Access 2020, 8, 52815 -52829.

AMA Style

Ali Selim, Salah Kamel, Ali S. Alghamdi, Francisco Jurado. Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches. IEEE Access. 2020; 8 (99):52815-52829.

Chicago/Turabian Style

Ali Selim; Salah Kamel; Ali S. Alghamdi; Francisco Jurado. 2020. "Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches." IEEE Access 8, no. 99: 52815-52829.

Journal article
Published: 04 March 2020 in Electronics
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Induction heating (IH) is an environmentally friendly solution for heating and melting processes. The required high-frequency magnetic field is accomplished through frequency controllers. Direct frequency controllers (DFC) are preferred to dual converters as they have low conversion losses, compact size, and simple circuit arrangement due to low component count. Numerous frequency controllers with complex switching algorithms are employed in the induction heating process. They have a complicated circuit arrangement, and complex control as their switching sequences have to synchronize with source voltage that requires the zero-crossing detection of the input voltage. They also have a shoot-through problem and poor power quality. Therefore, this research proposes a novel frequency controller with a low count of six controlled switching devices without a zero-crossing detector (ZCD) having a simple control arrangement. The required switching signals are simply generated by using any pulse-width-modulated (PWM) generator. The performance of the proposed topology is verified through simulation results obtained using the MATLAB/Simulink environment and experimental setup.

ACS Style

Naveed Ashraf; Tahir Izhar; Ghulam Abbas; Ahmed Bilal Awan; Ali S. Alghamdi; Ahmed G. Abo-Khalil; Khairy Sayed; Umar Farooq; Valentina E. Balas. A New Single-Phase Direct Frequency Controller Having Reduced Switching Count without Zero-Crossing Detector for Induction Heating System. Electronics 2020, 9, 430 .

AMA Style

Naveed Ashraf, Tahir Izhar, Ghulam Abbas, Ahmed Bilal Awan, Ali S. Alghamdi, Ahmed G. Abo-Khalil, Khairy Sayed, Umar Farooq, Valentina E. Balas. A New Single-Phase Direct Frequency Controller Having Reduced Switching Count without Zero-Crossing Detector for Induction Heating System. Electronics. 2020; 9 (3):430.

Chicago/Turabian Style

Naveed Ashraf; Tahir Izhar; Ghulam Abbas; Ahmed Bilal Awan; Ali S. Alghamdi; Ahmed G. Abo-Khalil; Khairy Sayed; Umar Farooq; Valentina E. Balas. 2020. "A New Single-Phase Direct Frequency Controller Having Reduced Switching Count without Zero-Crossing Detector for Induction Heating System." Electronics 9, no. 3: 430.

Review
Published: 28 December 2019 in Sensors
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This work reviews design aspects of liquid metal antennas and their corresponding applications. In the age of modern wireless communication technologies, adaptability and versatility have become highly attractive features of any communication device. Compared to traditional conductors like copper, the flow property and lack of elasticity limit of conductive fluids, makes them an ideal alternative for applications demanding mechanically flexible antennas. These fluidic properties also allow innovative antenna fabrication techniques like 3D printing, injecting, or spraying the conductive fluid on rigid/flexible substrates. Such fluids can also be easily manipulated to implement reconfigurability in liquid antennas using methods like micro pumping or electrochemically controlled capillary action as compared to traditional approaches like high-frequency switching. In this work, we discuss attributes of widely used conductive fluids, their novel patterning/fabrication techniques, and their corresponding state-of-the-art applications.

ACS Style

Kashif Nisar Paracha; Arslan Dawood Butt; Ali S. Alghamdi; Suleiman Aliyu Babale; Ping Jack Soh. Liquid Metal Antennas: Materials, Fabrication and Applications. Sensors 2019, 20, 177 .

AMA Style

Kashif Nisar Paracha, Arslan Dawood Butt, Ali S. Alghamdi, Suleiman Aliyu Babale, Ping Jack Soh. Liquid Metal Antennas: Materials, Fabrication and Applications. Sensors. 2019; 20 (1):177.

Chicago/Turabian Style

Kashif Nisar Paracha; Arslan Dawood Butt; Ali S. Alghamdi; Suleiman Aliyu Babale; Ping Jack Soh. 2019. "Liquid Metal Antennas: Materials, Fabrication and Applications." Sensors 20, no. 1: 177.

Research article
Published: 04 December 2019 in Computational and Mathematical Methods in Medicine
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Speech parameters may include perturbation measurements, spectral and cepstral modeling, and pathological effects of some diseases, like influenza, that affect the vocal tract. The verification task is a very good process to discriminate between different types of voice disorder. This study investigated the modeling of influenza’s pathological effects on the speech signals of the Arabic vowels “A” and “O.” For feature extraction, linear prediction coding (LPC) of discrete wavelet transform (DWT) subsignals denoted by LPCW was used. k-Nearest neighbor (KNN) and support vector machine (SVM) classifiers were used for classification. To study the pathological effects of influenza on the vowel “A” and vowel “O,” power spectral density (PSD) and spectrogram were illustrated, where the PSD of “A” and “O” was repressed as a result of the pathological effects. The obtained results showed that the verification parameters achieved for the vowel “A” were better than those for vowel “O” for both KNN and SVM for an average. The receiver operating characteristic curve was used for interpretation. The modeling by the speech utterances as words was also investigated. We can claim that the speech utterances as words could model the influenza disease with a good quality of the verification parameters with slightly less performance than the vowels “A” as speech utterances. A comparison with state-of-the-art method was made. The best results were achieved by the LPCW method.

ACS Style

Khaled Daqrouq; Abdel-Rahman Al-Qawasmi; Ahmed Balamesh; Ali S. Alghamdi; Mohamed A. Al-Amoudi. The Use of Arabic Vowels to Model the Pathological Effect of Influenza Disease by Wavelets. Computational and Mathematical Methods in Medicine 2019, 2019, 1 -8.

AMA Style

Khaled Daqrouq, Abdel-Rahman Al-Qawasmi, Ahmed Balamesh, Ali S. Alghamdi, Mohamed A. Al-Amoudi. The Use of Arabic Vowels to Model the Pathological Effect of Influenza Disease by Wavelets. Computational and Mathematical Methods in Medicine. 2019; 2019 ():1-8.

Chicago/Turabian Style

Khaled Daqrouq; Abdel-Rahman Al-Qawasmi; Ahmed Balamesh; Ali S. Alghamdi; Mohamed A. Al-Amoudi. 2019. "The Use of Arabic Vowels to Model the Pathological Effect of Influenza Disease by Wavelets." Computational and Mathematical Methods in Medicine 2019, no. : 1-8.

Journal article
Published: 03 December 2019 in Electronics
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Owing to the superior transient and steady-state performance of the fractional-order proportional-integral-derivative (FOPID) controller over its conventional counterpart, this paper exploited its application in an automatic voltage regulator (AVR) system. Since the FOPID controller contains two more control parameters (µ and λ ) as compared to the conventional PID controller, its tuning process was comparatively more complex. Thus, the intelligence of one of the most recently developed metaheuristic algorithms, called the salp swarm optimization algorithm (SSA), was utilized to select the optimized parameters of the FOPID controller in order to achieve the optimal dynamic response and enhanced stability of the studied AVR system. To validate the effectiveness of the proposed method, its performance was compared with that of the recently used tuning methods for the same system configuration and operating conditions. Furthermore, a stability analysis was carried out using pole-zero and bode stability criteria. Finally, in order to check the robustness of the developed system against the system parameter variations, a robustness analysis of the developed system was undertaken. The results show that the proposed SSA-based FOPID tuning method for the AVR system outperformed its conventional counterparts in terms of dynamic response and stability measures.

ACS Style

Ismail Akbar Khan; Ali S. Alghamdi; Touqeer Ahmed Jumani; Arbab Alamgir; Ahmed Bilal Awan; Attaullah Khidrani. Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System. Electronics 2019, 8, 1472 .

AMA Style

Ismail Akbar Khan, Ali S. Alghamdi, Touqeer Ahmed Jumani, Arbab Alamgir, Ahmed Bilal Awan, Attaullah Khidrani. Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System. Electronics. 2019; 8 (12):1472.

Chicago/Turabian Style

Ismail Akbar Khan; Ali S. Alghamdi; Touqeer Ahmed Jumani; Arbab Alamgir; Ahmed Bilal Awan; Attaullah Khidrani. 2019. "Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System." Electronics 8, no. 12: 1472.

Journal article
Published: 07 November 2019 in Energies
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This paper introduces an energy management and control method for DC microgrid supplying electric vehicles (EV) charging station. An Energy Management System (EMS) is developed to manage and control power flow from renewable energy sources to EVs through DC microgrid. An integrated approach for controlling DC microgrid based charging station powered by intermittent renewable energies. A wind turbine (WT) and solar photovoltaic (PV) arrays are integrated into the studied DC microgrid to replace energy from fossil fuel and decrease pollution from carbon emissions. Due to the intermittency of solar and wind generation, the output powers of PV and WT are not guaranteed. For this reason, the capacities of WT, solar PV panels, and the battery system are considered decision parameters to be optimized. The optimized design of the renewable energy system is done to ensure sufficient electricity supply to the EV charging station. Moreover, various renewable energy technologies for supplying EV charging stations to improve their performance are investigated. To evaluate the performance of the used control strategies, simulation is carried out in MATLAB/SIMULINK.

ACS Style

Khairy Sayed; Ahmed G. Abo-Khalil; Ali S. Alghamdi. Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources. Energies 2019, 12, 4240 .

AMA Style

Khairy Sayed, Ahmed G. Abo-Khalil, Ali S. Alghamdi. Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources. Energies. 2019; 12 (22):4240.

Chicago/Turabian Style

Khairy Sayed; Ahmed G. Abo-Khalil; Ali S. Alghamdi. 2019. "Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources." Energies 12, no. 22: 4240.

Journal article
Published: 22 October 2019 in Journal of Molecular Graphics and Modelling
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In this paper, theoretical calculations for electronic band structure, the density of states, the optical and thermoelectric response of orthorhombic LaXO3 (X = Cr, Mn, Fe) compounds are calculated. The Full Potential Linearized Augmented Plane Wave plus local orbital (FP-LAPW + lo) method is used in the context of density functional theory. Band gaps of three compounds are determined using Wu Cohen Generalized Gradient approximation with additional U potential (WC-GGA + U). Ferromagnetism is observed due to strong p-d hybridization and is justified by observed magnetic moments across individual atoms and at interstitial regions, and exchange constants are also reported. Optical properties are explained by calculating real and imaginary parts of the dielectric function, refractive index (n), extinction coefficient (k), reflection coefficient (R), the absorption coefficient (α), and energy loss spectrum (L). High value of dielectric constant, very small reflectivity and lower energy loss factor in, visible to ultraviolet region favours them for optoelectronic devices. We also computed the thermoelectric properties, including Seebeck coefficient, thermal and electrical conductivity and power factor as a function of temperature by combining results from DFT and Boltzmann transport theory. The phonon dispersion curve shows the stability of the current structures.

ACS Style

B. Sabir; G. Murtaza; R.M. Arif Khalil; G. Murtaz. Ab-initio prediction of structure stability, electromagnetic, optical and thermoelectric behavior of orthorhombic LaXO3 (X= Cr, Mn, Fe): For device application. Journal of Molecular Graphics and Modelling 2019, 94, 107482 .

AMA Style

B. Sabir, G. Murtaza, R.M. Arif Khalil, G. Murtaz. Ab-initio prediction of structure stability, electromagnetic, optical and thermoelectric behavior of orthorhombic LaXO3 (X= Cr, Mn, Fe): For device application. Journal of Molecular Graphics and Modelling. 2019; 94 ():107482.

Chicago/Turabian Style

B. Sabir; G. Murtaza; R.M. Arif Khalil; G. Murtaz. 2019. "Ab-initio prediction of structure stability, electromagnetic, optical and thermoelectric behavior of orthorhombic LaXO3 (X= Cr, Mn, Fe): For device application." Journal of Molecular Graphics and Modelling 94, no. : 107482.

Journal article
Published: 24 June 2019 in Energies
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Doubly-fed induction generators (DFIGs) are widely used in wind energy conversion systems. The dynamic features of DFIGs make it important to focus on designing high-performance control schemes. However, the dynamic characteristics of such generators depend on nonlinear parameters, such as stator flux, stator current, and rotor current, which increase the overall system complexity. In addition, the DFIG Wind Energy Conversion Systems (WECSs) size is growing beyond 7 MW, which increases stress on both the mechanical drive train and the power circuits during connection to the grid. Such stress and dynamic features cannot be neglected. Therefore, robust controllers must be implemented which have the ability to support the dynamic frequencies of wind energy to ensure system stability in grid connection mode and during subsequent use. Conventional vector control configurations that use proportional-integral controllers have various drawbacks, such as parameter tuning difficulties, mediocre dynamic performance, and reduced robustness. In this study, we focused on improving DFIG synchronization to the grid by applying state feedback current controllers with a feedforward component to smooth the connection to the grid, as well as to improve the steady-state and transient characteristics of the controller. State feedback controllers are proposed to replace the proportional-integral controllers on both the rotor and grid sides. The proposed controller is designed using a multivariable system and feedforward control for input reference and incorporating disturbances into the control equations for fast synchronization and transient responses. To demonstrate the advantages of this controller, experimental studies are presented for both the transient and steady states.

ACS Style

Ahmed G. Abo-Khalil; Ali S. Alghamdi; Ali M. Eltamaly; M. S. Al-Saud; Praveen R. P.; Khairy Sayed; G. R. Bindu; Iskander Tlili. Design of State Feedback Current Controller for Fast Synchronization of DFIG in Wind Power Generation Systems. Energies 2019, 12, 2427 .

AMA Style

Ahmed G. Abo-Khalil, Ali S. Alghamdi, Ali M. Eltamaly, M. S. Al-Saud, Praveen R. P., Khairy Sayed, G. R. Bindu, Iskander Tlili. Design of State Feedback Current Controller for Fast Synchronization of DFIG in Wind Power Generation Systems. Energies. 2019; 12 (12):2427.

Chicago/Turabian Style

Ahmed G. Abo-Khalil; Ali S. Alghamdi; Ali M. Eltamaly; M. S. Al-Saud; Praveen R. P.; Khairy Sayed; G. R. Bindu; Iskander Tlili. 2019. "Design of State Feedback Current Controller for Fast Synchronization of DFIG in Wind Power Generation Systems." Energies 12, no. 12: 2427.

Journal article
Published: 11 March 2019 in Materials
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In this work, microemulsion method has been followed to synthesize vanadium-doped Zn1−xVxO (with x = 0.0, 0.02, 0.04, 0.06, 0.08, and 0.10) nanoparticles. The prepared samples are characterized by several techniques to investigate the structural, morphology, electronic, functional bonding, and optical properties. X-ray diffractometer (XRD) analysis confirms the wurtzite phase of the undoped and V-doped ZnO nanoparticles. Variation in the lattice parameters ensures the incorporation of vanadium in the lattice of ZnO. Scanning electron microscopy (SEM) shows that by increasing contents of V ions, the average particle size increases gradually. X-ray Absorption Near Edge Spectroscopy (XANES) at the V L3,2 edge, oxygen K-edge, and Zn L3,2 edge reveals the presence and effect of vanadium contents in the Zn host lattice. Furthermore, the existence of chemical bonding and functional groups are also asserted by attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR). UV–Visible analysis shows that by increasing V+ contents, a reduction up to 2.92 eV in the energy band gap is observed, which is probably due to an increase in the free electron concentration and change in the lattice parameters.

ACS Style

H.S. S. Ali; Ali S. Alghamdi; Ghulam Murtaza; H.S. S. Arif; Wasim Naeem; G. Farid; Sadia Sharif; Muhammad Gul Bahar Ashiq; Syeda Ammara Shabbir. Facile Microemulsion Synthesis of Vanadium-Doped ZnO Nanoparticles to Analyze the Compositional, Optical, and Electronic Properties. Materials 2019, 12, 821 .

AMA Style

H.S. S. Ali, Ali S. Alghamdi, Ghulam Murtaza, H.S. S. Arif, Wasim Naeem, G. Farid, Sadia Sharif, Muhammad Gul Bahar Ashiq, Syeda Ammara Shabbir. Facile Microemulsion Synthesis of Vanadium-Doped ZnO Nanoparticles to Analyze the Compositional, Optical, and Electronic Properties. Materials. 2019; 12 (5):821.

Chicago/Turabian Style

H.S. S. Ali; Ali S. Alghamdi; Ghulam Murtaza; H.S. S. Arif; Wasim Naeem; G. Farid; Sadia Sharif; Muhammad Gul Bahar Ashiq; Syeda Ammara Shabbir. 2019. "Facile Microemulsion Synthesis of Vanadium-Doped ZnO Nanoparticles to Analyze the Compositional, Optical, and Electronic Properties." Materials 12, no. 5: 821.

Article
Published: 26 October 2018 in Applied Physics A
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Cd1−xS:Lax nanoparticles with varying La and Cd concentrations have been prepared by microemulsion technique in the presence of cationic surfactant cetyl trimethyl ammonium bromide (CTAB). The structural phase for lanthanum-doped cadmium sulfide nanoparticles was investigated using X-ray diffraction revealing a cubic zinc blende structure for x = 0.0–0.06, while the hexagonal structure was obtained for higher La contents. The size of the nanoparticles was observed using field-emission scanning electron (FE-SEM) and transmission electron microscopy (TEM) and nanoparticles were found to exhibit a spherically symmetric shape. Energy-dispersive X-ray spectroscopy (EDX) was performed to analyze the composition of constituent elements. The measurements of photocatalytic hydrogen production indicated that La-doped CdS nanoparticles exhibit high H2-production rate as compared to that by the pure CdS. Diffuse UV–visible and photoluminescence spectra elucidated that bandgap varies inversely with the particle size; bandgap improves as particles size reduces for CdS with low La concentrations (~ 6%), in contrast, for higher La concentrations (8% and 10%) bandgap decays as the particle size improves. We believe that this work enriches the theory on La-doping CdS system and provides comprehensive guidance for the application of effective photocatalytic degradation.

ACS Style

G. Murtaza; S. M. A. Osama; Murtaza Saleem; M. Hassan; N. R. K. Watoo. Structural, optical, and photocatalytic properties of Cd1−xS:Lax nanoparticles for optoelectronic applications. Applied Physics A 2018, 124, 778 .

AMA Style

G. Murtaza, S. M. A. Osama, Murtaza Saleem, M. Hassan, N. R. K. Watoo. Structural, optical, and photocatalytic properties of Cd1−xS:Lax nanoparticles for optoelectronic applications. Applied Physics A. 2018; 124 (11):778.

Chicago/Turabian Style

G. Murtaza; S. M. A. Osama; Murtaza Saleem; M. Hassan; N. R. K. Watoo. 2018. "Structural, optical, and photocatalytic properties of Cd1−xS:Lax nanoparticles for optoelectronic applications." Applied Physics A 124, no. 11: 778.

Journal article
Published: 12 September 2018 in Materials Research Express
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ACS Style

Ammara Sajawal; Mohsin Ishfaq; Ghulam Murtaza; Iram Habib; Nawaz Muhammad; Sadia Sharif. Half metallic ferromagnetism in PrMnO3 orthorhombic stable phase: an experimental and theoretical investigation. Materials Research Express 2018, 5, 116103 .

AMA Style

Ammara Sajawal, Mohsin Ishfaq, Ghulam Murtaza, Iram Habib, Nawaz Muhammad, Sadia Sharif. Half metallic ferromagnetism in PrMnO3 orthorhombic stable phase: an experimental and theoretical investigation. Materials Research Express. 2018; 5 (11):116103.

Chicago/Turabian Style

Ammara Sajawal; Mohsin Ishfaq; Ghulam Murtaza; Iram Habib; Nawaz Muhammad; Sadia Sharif. 2018. "Half metallic ferromagnetism in PrMnO3 orthorhombic stable phase: an experimental and theoretical investigation." Materials Research Express 5, no. 11: 116103.

Accepted manuscript
Published: 01 May 2018 in Materials Research Express
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Sol-Gel auto combustion technique was used to synthesis La3+substituted LiCoO2 lithium-rich cathode materials to improve the cycling performance and rate capability. Samples with different concentration of La containing LiCo1-xLaxO2 (with 0 ≤ x ≤ 0.20) were chemically prepared and calcined the obtained powders at 850oC for 6h. Various techniques for the investigation of lanthanum behaviour in LiCoO2 have been utilised, such as X-ray diffraction (XRD), Field emission scanning electron microscope (FESEM), Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), Near Edge X-ray absorption spectroscopy (NEXAS), Galvanostatic charge–discharge tests and cyclic voltammetry (CV). The formation of a hexagonal lattice of the α-NaFeO2 structure of LiCoO2, having space group R-3m is confirmed by X-ray diffraction analysis. FESEM results reveal that by increasing La contents the grain growth becomes distinct, well defined and smaller grains obtained. ATR-FTIR confirms the functional bonding in the prepared samples, as well XANES spectra reveals the electronic configuration valence state, chemical bonding character and local coordination of a specific atom. Maximum discharging capacities were observed in the La-doped material which is 182.38 mAhg-1 and 56.2 mAhg-1 at 0.1C and 5 C respectively and on average, this is more than 5% higher as compared to the pure LiCoO2. After 5C, the discharge capacity of the doped material at 0.1C can again reach 163.83 mAhg-1, about 89% of the discharge capacity obtained in the first cycle. When 2032 type coin cells were cycled at a constant rate, an excellent cycling performance with capacity retention by a factor of ~2 in comparison to the pristine LiCoO2 was observed for the composite cathode containing 4.0 mol% La. This reveals the structural stability induced by La doping. Remarkable improvement in reversibility and stability of the La-doped electrodes shown by cyclic voltammetry (CV). These composite cathodes might be very useful for high rate power applications.

ACS Style

Ghulam Farid; Ghulam Murtaza; Muhammad Umair; Hafiz Shahab Arif; Hafiz Saad Ali; Nawaz Muhammad; Mukhtar Ahmad. Effect of La-doping on the structural, morphological and electrochemical properties of LiCoO2 nanoparticles using Sol-Gel technique. Materials Research Express 2018, 5, 055044 .

AMA Style

Ghulam Farid, Ghulam Murtaza, Muhammad Umair, Hafiz Shahab Arif, Hafiz Saad Ali, Nawaz Muhammad, Mukhtar Ahmad. Effect of La-doping on the structural, morphological and electrochemical properties of LiCoO2 nanoparticles using Sol-Gel technique. Materials Research Express. 2018; 5 (5):055044.

Chicago/Turabian Style

Ghulam Farid; Ghulam Murtaza; Muhammad Umair; Hafiz Shahab Arif; Hafiz Saad Ali; Nawaz Muhammad; Mukhtar Ahmad. 2018. "Effect of La-doping on the structural, morphological and electrochemical properties of LiCoO2 nanoparticles using Sol-Gel technique." Materials Research Express 5, no. 5: 055044.