Mohammed Ahmed Ibrahim

@ntu.edu.iq

Engineering Technical College /Mosul / Department of Electrical Power Techniques Engineering
Northern Technical University

Mohammed Ahmed Ibrahim


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https://researchid.co/mohammedahmed
16

Scopus Publications

Scopus Publications

  • Performance Enhancing of Differential Relay to Protect Power Transformer Based on an Artificial Neural Network
    Ibrahim N. Elias, Mohammed A. Ibrahim
    Springer Proceedings in Earth and Environmental Sciences, 2026
  • INTELLIGENT FAULT DETECTION AND CLASSIFICATION IN OVERCURRENT PROTECTION SYSTEMS BASED ON ARTIFICIAL NEURAL NETWORKS
    Mohammed Ahmed Ibrahim, Ibrahim N. Hadid
    Diagnostyka, 2025
  • Performance Enhancing Speed Control of a DC Motor Based on an Artificial Neural Network
    Ahmed G. Abdullah, Mohammed A. Ibrahim, Ali S. Saleh
    Journal Europeen Des Systemes Automatises, 2024
  • DETECTION AND IDENTIFICATION OF FAULT IN TRANSMISSION LINES BASED ON ANN
    Ahmed Ghazi Abdullah, Mohammed Ahmed Ibrahim, Waseem Khalid Ibrahim
    Diagnostyka, 2024
    Along with power transmission lines' efficiency, another crucial factor in electrical power transmission networks is reliability, which guarantees power transmission stability. One of the crucial and essential tasks for maintaining the continuity and stability of power transmission in transmission networks Capacity without any significant failures is identifying errors and malfunctions in power transmission lines as soon as possible. The goal of this article is to develop and apply ANN technology to overcome the obstacles faced by the electrical power transmission network. In order for the ANN to learn useful patterns and features from raw current measurements, pre-processing and feature extraction techniques are used during the training process. Real-time applications can benefit from the ANN's architecture, which is optimized for high accuracy, quick response times, and scalability. To validate the performance of the ANN-based fault detection system, extensive simulations are conducted using data from different transmission line scenarios, including various fault types that short-circuit. The results demonstrate the capability of the ANN model to accurately detect and classify faults, as well as disconnect the power grid after detect any fault. The results showed the accuracy and high speed of the proposed method using a neural network compared to traditional methods.
  • An intelligent overcurrent relay to protect transmission lines based on artificial neural network
    International Journal of Power Electronics and Drive Systems, 2023
  • Performance enhancement of small-scale wind turbine based on artificial neural network
    Mohammad Ahmed Ibrahim, Ali Saleh Saleh, Ali Nathem Hamoody
    International Journal of Power Electronics and Drive Systems, 2023
    <p><span lang="EN-US">Small-scale wind turbine is typically designed to resisted extreme wind; this work aims to adjust their pitch angle based on simulations that use standardization codes for wind turbines. Proportional integral derivative (PID) and artificial neural network (ANN) controllers are used to control the speed of wind turbines. The ideal action for controlling the blade pitch angle can be attained by providing the controller with speed information ahead of time, allowing the controller to provide the best action for blade pitch angle control. The results of this work represent the relationship between the turbine speed with respect to time at different pitch angle. It has been concluded that the ANN controller produced the best time response as compared with the PID controller.</span></p>
  • Simulation of sheath voltage, losses and loss factor of high voltage underground cable using MATLAB/Simulink
    Mahmood Natiq Abed, Osamah Abdulsalam Suhry, Mohammed Ahmed Ibrahim
    International Journal of Power Electronics and Drive Systems, 2022
    <p>In this paper, 22 equations for high voltage cable sheaths are simulated in one model. The model outputs are represented by cable sheath voltages, circulating currents, losses and factors, eddy currents, losses, and factors in both tides laying states (trefoil and flat) when grounding the sheaths from a single point, two points, or cross-link. These values depend on the cable manufacturing's specific factors. The other factors affecting these values are specific to the laying and operation: the load current, the length of the cable to be laid out, the spacing between the cables, and the power frequency. This research aims to reduce or eliminate the losses of the cable sheath. These two types of currents cause losses that may sometimes equal the losses of the conductor of the cable carrying the load current. Which reduces the capacity of the cable and reduces the heat dissipation of the cable into the soil and damages it. Electricians are at risk of electrocution due to the high voltages of the sheaths when there is no current in the sheaths. Therefore, these currents and voltages must be eliminated by making a new model that studies the effect of all these factors on them.</p>
  • An intelligent differential protection of power transformer based on artificial neural network
    Ali Nathim Hamoodi, Mohammed Ahmed Ibrahim, Bashar Muhammed Salih
    Bulletin of Electrical Engineering and Informatics, 2022
    This paper describes the application of artificial neural network (ANN) techniques for protecting small power transformer 2 kVA (Terco type). ANN network trained according to the primary and secondary currents data under NN tool, this network performs as a function of differential protection relay. Symmetrical and unsymmetrical faults are analyzed using Matlab environment. ANN network senses the difference in the internal current of both transformer sides and sending a trip to the circuit breaker (CB) at moment of fault occurrence. All the voltages and the currents waveforms affected with the fault and the response time increased according to this technique. Finally, the trip signal and the quick disconnect time were improved according to ANN technique.
  • Design and Implementation of Differential Relay Based on Graphical User Interface
    Alya Al-Rifaie
    Przeglad Elektrotechniczny, 2022
    . This paper demonstrates a differential relay (DR) which can be used to protect a power transformer based on the Graphical User Interface (GUI) Matlab program. The GUI may aid end users in running simulations without changing the input and parameters, allowing them to see the model's performance without having to understand the model's intricacies. This model was used to detect balanced and unbalanced faults, and it was noted that in the case of using GUI, the fault response speed was faster. The model has been put through its paces under a range of operating situations. The results show that the model was successful in recognizing internal faults while avoiding running into external faults. The results indicate that everything was done correctly.
  • Protection transformer and transmission line in power system based on MATLAB simulink
    Mohammed IBRAHIM
    Przeglad Elektrotechniczny, 2021
    The main objective of this research work is to build a simulation model of a power system based on MATLAB to detect the faults (symmetric and asymmetric). We also know that the electric power system is made up of important and costly components, so these parts must be protected. The major purpose of this article is to studies and analysis the different faults and declares the impact on power system. Two types of protection are used, differential protection and overcurrent protection. This work is approach to MATLAB/SIMULINK package. In this work, a laboratory board was designed to represent an electrical power system consist of three stages: generation units, transmission lines and distribution systems. Streszczenie. Głównym celem niniejszej pracy badawczej jest zbudowanie modelu symulacyjnego systemu elektroenergetycznego w oparciu o MATLAB do wykrywania zwarć (symetrycznych i asymetrycznych). Wiemy, że system zasilania elektrycznego składa się z ważnych i kosztownych komponentów, dlatego te części muszą być chronione. Głównym celem tego artykułu jest badanie i analiza różnych usterek oraz deklaracja wpływu na system elektroenergetyczny. Stosowane są dwa rodzaje ochrony: zabezpieczenie różnicowe i zabezpieczenie nadprądowe. Praca ta jest podejściem do pakietu MATLAB/SIMULINK. W pracy zaprojektowano tablicę laboratoryjną do reprezentowania systemu elektroenergetycznego składającego się z trzech etapów: jednostek wytwórczych, linii przesyłowych i systemów dystrybucyjnych (Zabezpieczenie transformatora i linii przesyłowej w systemie elektroenergetycznym w oparciu o MATLAB Simulink)
  • Differential relay protection for prototype transformer
    Bashar SALIH
    Przeglad Elektrotechniczny, 2021
  • PI controller for DC motor speed realized with simulink and practical measurements
    Mohammed A. Ibrahim, Ali N. Hamoodi, Bashar M. Salih
    International Journal of Power Electronics and Drive Systems, 2020
  • Design and implementation of overcurrent relay to protect the transmission line
    International Journal of Engineering Research and Technology, 2020
  • Harmonics Resonance Effect Solution in Industrial Systems using Active Static Compensation Circuit
    Rakan Kh. ANTAR, Asef A. SALEH, Mohammed A. IBRAHIM
    2nd International Conference on Electrical Communication Computer Power and Control Engineering Iceccpce 2019, 2019
  • Power factor correction of AC to DC converter using boost chopper
    Journal of Engineering and Applied Sciences, 2018
  • The environment coefficients effect on I-V and P-V characteristics curves of photovoltaic cell using Matlab/Simulink
    Bashar Mohammed Salih, Rasha A. Mohmeed, Mohammed Ahmed Ibrahim
    International Journal of Engineering and Technology Uae, 2018