Yazar "Taha, Taha A." seçeneğine göre listele

Listeleniyor 1 - 6 / 6
  • Küçük Resim
    Öğe
    Child tracking system using smartphone
    (Institute of Advanced Engineering and Science, 2023) Taha, Taha A.; Hussain, Abadal-Salam T.; Desa, Hazry; Taha, Faris Hassan; Bektaş, Yasin
    The number of missing children and kidnapping is on the rise in recent years. Every parent wills definitely going through an agonizing experience to have their children missing. Therefore, there are many safety measurements to prevent this incident from happening. The help of modern technologies is one of the ways to reduce children missing and kidnapping. A child can be tracked by using the global positioning system (GPS) and global system for mobile communication (GSM) technology. Advanced child monitoring systems are expensive. Not all families have the same living standards. For this purpose, a low-cost child tracking system is proposed in this study. The implementation of the proposed approach is reported in real-time.
  • [ X ]
    Öğe
    Enhanced Total Harmonic Distortion Optimization in Cascaded H-Bridge Multilevel Inverters Using the Dwarf Mongoose Optimization Algorithm
    (Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, 2024) Salih, Sinan Q.; Mejbel, Basim Ghalib; Ahmad, B.A.; Taha, Taha A.; Bektaş, Yasin; Aldabbagh, Mohammed M.; Hussain, Abadal-Salam T.; Hashim, Abdulghafor Mohammed; Veena, B.S.
    Total harmonic distortion (THD) is one of the most essential parameters that define the operational efficiency and power quality in electrical systems applied to solutions like cascaded H-bridge multilevel inverters (CHB-MLI). The reduction of THD is crucial due to the fact that improving the system’s power quality and minimizing the losses are key for performance improvement. The purpose of this work is to introduce a new DMO-based approach to optimize the THD of the output voltage in a three-phase nine-level CHB-MLI. The proposed DMO algorithm was also subjected to intense comparison with two benchmark optimization techniques, namely Genetic Algorithm and Particle Swarm Optimization with regards to three parameters, namely convergence rate, stability, and optimization accuracy. A series of MATLAB simulations were run to afford the evaluation of each algorithm under a modulation index of between 0.1 and 1.0. The outcome of the experiment amply proves that in comparison with THD minimization for the given OP, the DMO algorithm was significantly superior to both RSA-based GA and PSO algorithms in their ability to yield higher accuracy while requiring lesser computational time. Consequently, this work could expand the application of the DMO algorithm as a reliable and effective means of enhancing THD in CHB-MLIs as well as advancing the overall quality of power systems in different electrical power networks.
  • [ X ]
    Öğe
    Enhanced transformer protection using fuzzy-logic-integrated differential relays: a comparative study with rule-based methods
    (Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, 2024) Hussein, Raad Ibrahim Hussein; Gökşenli, Nurettin; Bektaş, Enes; Teke, Mustafa; Tümay, Mehmet; Yaseen, Ethar Sulaiman Yaseen; Bektaş, Yasin; Taha, Taha A.
    The power transformers are the important part of electrical networks where transformer reliability and operational lifetime depends on sufficiently accurate and reliable protective means. Other traditional forms of differential protection that were developed initially also suffer from the inability to distinguish between a fault and normal operation such as inrush currents in transformers and CT saturation. This paper presents the development of an improved differential relay augmented by Fuzzy-Logic Control System (FLC), to improve (a) dependability, (b) performance of the existing transformer protection systems, and (c) accuracy in fault identification possible due to uncertainty and non-linearity in transformer operation. They include the proposed methodology compared to the traditional Rule-based current differential method in outlining the protection settings. MATLAB/Simulink model of the power transformer and protection methods suggested in the study form a part of the investigation. Computer simulations show that the presented scheme provides a substantial increase in the speed and resolution of fault detection and fault types identification relating to current differential method based on the Rule. The system’s accuracy rate is the average of 98% for internal faults and 95% for external faults while its response time is 25ms for internal faults and 30ms for external faults. Furthermore, the Fuzzy-Logic-based system has an 90% efficiency in detect the defect and 85% efficiency in identify the inrush currents. The findings of this research prove that the differential relay based on Fuzzy-Logic enhances the flexibility and reliability of transformer protection and opens the road to the introduction of further improvements in the intelligent protection systems in the future.
  • Küçük Resim
    Öğe
    Enhancing Multilevel Inverter Performance: A Novel Dung Beetle Optimizer-based Selective Harmonic Elimination Approach
    (Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, 2024) Taha, Taha A.; Neamah, Muthanna İbrahim; Ahmed, Saadaldeen Rashid; Taha, Faris Hassan; Bektaş, Yasin; Desa, Hazry; Yassin, Khalil Farhan; İbrahim, Marwa; Hashim, Abdulghafor Mohammed
    This paper introduces a novel approach for enhancing the performance of multilevel inverters by applying a dung beetle optimizer (DBO)-based Selective Harmonic Elimination (SHE) technique. Focusing on a 3-phase multilevel inverter (MLI) with a non-H-bridge structure, the proposed method offers advantages such as cost-effective hardware implementation and eliminating the traditional H-bridge inverter requirement. To assess its efficacy, we compare the presented DBO-based SHE technique (DBOSHE) with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), evaluating their ability to determine optimal switching angles for achieving low-distorted load voltage. Unlike methods reliant on time-consuming calculations or fixed solutions, DBO provides a flexible approach, considering multiple possibilities to yield accurate switching angles. Using Simulink, harmonic component values and Total Harmonic Distortion (THD) are obtained for each optimization technique, specifically emphasizing on 9-level and 11-level MLI topologies. Our study aims to identify the most effective optimization technique for achieving lower THD and THDe values while eliminating odd-order harmonics from the 3-phase load voltage. Finally, we demonstrate the effectiveness of employing DBO for THD and THDe optimization within the SHE technique.
  • Küçük Resim
    Öğe
    Real Time Faults Transformer Protection System by Using Integrated Microcontroller
    (Institute of Electrical and Electronics Engineers Inc., 2023) Taha, Taha A.; Bektaş, Yasin; Mahmood, Noof T.; Hussain, Abadal-Salam T.; Ahmed, Ömer K.
    Fault protection is a crucial aspect of power systems, particularly in cases where faults occurring in distribution transformers can have severe implications for customers. However, it is not feasible to equip every distribution transformer with a monitoring system due to the high installation costs and the complexities associated with integrating them into the existing communication network. This study addresses this challenge by modeling the distribution network as a simplified single-phase electrical system and developing a controller that utilizes a PIC18F458 microcontroller. The primary objective of this controller is to provide both protection and onsite monitoring capabilities. Through simulation results, it has been demonstrated that the protection system, which is based on the PIC microcontroller, effectively safeguards against faults such as over-current, overvoltage, and under-voltage. This successful outcome highlights the ability of the developed system to mitigate potential hazards and ensure the reliability of the distribution transformer, benefiting the customers it serves.
  • Küçük Resim
    Öğe
    Red deer algorithm-based selective harmonic elimination technique for multilevel inverters
    (Institute of Advanced Engineering and Science, 2023) Bektaş, Yasin; Karaca, Hulusi; Taha, Taha A.; Zaynal, Hussein I.
    This paper proposed a red deer algorithm (RDA)-based selective harmonic elimination (SHE) method for multilevel inverters (MLIs). To eliminate the desired harmonic orders, the optimum switching angles of the MLI have been calculated using the proposed RDA. The calculated switching angles have been applied to the 3-phase cascaded H-bridged 11-level inverter. In addition, the performance of the proposed RDA method was compared with the results of methods such as the Newton-Raphson (NR) method, LSHADE/EpSin technique (LSHADE), whale optimization algorithm (WOA), and particle swarm optimization (PSO) used for the SHE problem in the literature. The results obtained prove that the proposed RDA optimization solves the SHE problems more effectively than other methods. It has also been observed that RDA produces good solutions in different modulation indexes.