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Lecturer

Mothanna Al-Sunjury

Research Interests

Renewable Energy Sources

Contro Theroris

Power Electronics

Gender MALE
Place of Work Technical Engineering College/ Mosul
Position Acadamic staff
Qualification M.Sc
Speciality Electrial power technology engineering
Email mothanna.sh.aziz@ntu.edu.iq
Phone +9647710551501
Address Mosul.Iraq, Nninevah, Mosul, Iraq

Skills

Academic Teaching (90%)
Analytical Skills (75%)
Matlab and Matlab/Simulink (85%)
Leadership and engagement (80%)
Team work (90%)
English Proficiency (90%)
Renewable Energy Generation and Control (85%)
Electrical power system stability and resilience (75%)
working experience

Academic Qualification

Master of Engineering - MEng
Sep 7, 2005 - May 7, 2008

Bachelor of Engineering - BE
Sep 7, 2001 - Jul 7, 2005

76 ( 3rd out off 48 students)

Working Experience

Full time - Northern Technical University [Lecturer]
Oct 20, 2011 - Present

Works as a teaching fellow in the Department of Medical Instrumentation Engineering, teaching various theoretical and practical modules at the undergraduate level, such as Mathematics I, Power Electronics, Electrical Technology, and Digital Fundamentals. Also participates in scientific and administrative committees and supervises final-year projects.

Full time - Al - Hadbaa universty college / Mosul/Iraq [Asistant lecturer]
Sep 7, 2008 - Sep 7, 2011

Works as a teaching fellow in the Department of Computer Engineering, teaching various theoretical and practical modules at the undergraduate level, such as Mathematics I, Mathematics II, Numerical Analysis, and Electrical Measurement. Also participates in various scientific and administrative committees.

Publications

Review of Cell-Balancing Schemes for Electric Vehicle Battery Management Systems
Mar 7, 2024

Journal Energies 2024,

publisher MDPI Open Access Journals

DOI https://doi.org/10.3390/en17061271

Issue 6

Volume 17

The battery pack is at the heart of electric vehicles, and lithium-ion cells are preferred because of their high power density, long life, high energy density, and viability for usage in relatively high and low temperatures. Lithium-ion batteries are negatively affected by overvoltage, undervoltage, thermal runaway, and cell voltage imbalance. The minimisation of cell imbalance is particularly important because it causes uneven power dissipation by each cell and, hence, temperature distribution that adversely impacts the battery lifetime. Several papers in the literature proposed advanced cell-balancing techniques to increase the effectiveness of basic cell-balancing approaches, reduce power losses, and reduce the number of components in balancing circuits. The new developments and optimisations over the last few years have been particularly intense due to the increased interest in battery technologies for several end-use applications. This paper reviews and discusses recent cell-balancing techniques or methods, covering their operating principles and the optimised utilisation of electrical components.

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Comparison between neural network and P&O method in optimizing MPPT control for photovoltaic cell
Oct 1, 2020

Journal International Journal of Electrical and Computer Engineering (IJECE)

publisher Institute of Advanced Engineering and Science (IAES)

DOI International Journal of Electrical and Computer Engineering (IJECE)

Issue 10

Volume 5

The demand for renewable energy has increased because it is considered a clean energy and does not result in any pollution or emission of toxic gases that negatively affect the environment and human health also requiring little maintenance, and emitting no noise, so it is necessary to develop this type of energy and increase its production capacity. In this research a design of maximum power point tracking (MPPT) control method using Neural Network (NN) for photovoltaic system is presented. First we design a standalone PV system linked to dc boost chopper with MPPT by perturbation and observation P&O technique, and then a design of MPPT by using ANN for the same system is presented. Comparative between two control methods are studied. The results explained in constant and adjustable weather settings such as irradiation and temperature. The results exposed that the proposed MPPT by ANN control can improve the PV array efficiency by reduce the oscillation around the MPP that accure in P&O method and so decreases the power losses. As well as decrease the the overshot that accure in transient response, and hence improving the performance of the solar cell.

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Design and implementation of robot control system for multistory buildings
Oct 1, 2020

Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)

publisher Universitas Ahmad Dahlan (UAD)

DOI http://doi.org/10.12928/telkomnika.v18i5.15338

Issue 5

Volume 18

The advancement of technology, make robots have more attention from researchers to make life of mankind comfortable. This paper deals with the design of an itemized control system prepared for window cleaning/maintenance of towers and multistory buildings which can be aided to simulating human activities. These activities (washing, coating, wiping, climbing, and maintenance events) normally achieved by specialized personal. The designed control system was prepared to guide the units of the required job to move freely along the outside surface of a window with a fairly enough area and mediate time for achieving the desired goal. The system design is implemented using Arduino kit, due to facilities in program and control of cleaning windows through infer the stepper motor movement and rotation. The controller has been achieved as real time system (30 msec.), it is done throw control of three stepper motor by taken in consideration the speed of the motors (π/3000 rad/sec) and the time can be adjustable within the cleaning area that the device covering it.

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Hybrid control strategies of SVC for reactive power compensation
Aug 8, 2020

Journal Indonesian Journal of Electrical Engineering and Computer Science

publisher Institute of Advanced Engineering and Science (IAES)

DOI https://doi.org/10.3390/en17061271

Issue 2

Volume 19

This article shows a prospective utilizations of flexible AC transmission system (FACTS) controls, like the static VAR compensator (SVC). One of the major motives for setting up an SVC is to recover dynamic voltage controller and thus increase system load aptitude. Static VAR compensator system proposed in this work consists of thyristor switched capacitor and thyristor controlled reactor sets, this style of SVC modelled using MATLAB simulink toolbox. A hybrid genetic algorithm with PI and fuzzy logic controls that used to control and expand the grid performance of the power system. The model results reveal that the Static Var Compensation contribute a decent result in upholding bus voltage after the power network is in an active and steady moment, besides it has a capability of the constancy control. It can totally work as a significant plan of reactive power recompense in power networks.

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A proposed algorithm for analysing heart sounds and calculating their time intervals
Mar 26, 2020

Journal Bio-Algorithms and Med-Systems

publisher De Gruyter

DOI http://doi.org/10.12928/telkomnika.v18i5.15338

Issue 1

Volume 16

Heart sounds play a crucial role in the clinical assessment of patients. Stethoscopes are used for detecting heart sounds and diagnosing potential abnormal conditions. However, several parameters of the cardiac sounds cannot be extracted by traditional stethoscopes. This paper presents a proposed algorithm based on peaks detection. Besides its ability of filtering the heart sounds signals, the time intervals of these sounds in addition to the heart rate were calculated by the proposed algorithm in an efficient way. Signals of the heart sounds from two sources were used to evaluate the efficiency of the algorithm. The first source was the data recorded from 14 participants, whereas the second source was the free data set sponsored by PASCAL. The algorithm showed different performance accuracy for detecting the main heart sounds based on the source of the data used in the study. The accuracy was 93.6% when using the data recorded from the first source, whereas it was 76.194% for the data of the second source.

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Conferences

Conferences

Adaptive Controller Design and Power Loss Analysis of Resistive and Inductive Cell Balancing During Static, Charging, and Discharging Mode
Nov 26, 2024 - Nov 29, 2024

Publisher IEEE

DOI https://doi.org/10.1109/ESARS-ITEC60450.2024.10819892

Country Italy

Location Naples

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Grid-Connected PV System's Voltage Stabilisation Using Model Predictive Control Based MPPT During Abrupt Changes in Irradiance
Jun 24, 2024 - Jun 26, 2024

Publisher IEEE

DOI https://doi.org/10.1109/CPE-POWERENG60842.2024.10604317

Country Poland

Location Gdynia

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