Mohammed Qasim Taha (Assistant Professor)
PhD in Electrical Engineering (Electric Power Systems)
Assistant Dean for Scientific and Postgraduate studies Affairs
Medical Physics - AppliedScinces - Heet
mohammed.taha@uoanbar.edu.iq
NAME: Mohammed Qasim Taha
SCIENTIFIC DEGREE: Ph.D. in Electrical and Computer Engineering
SPECIALIZATION: Power Systems (AI and Renewable Energy)
WORKPLACE: University of Anbar / College of Applied Science - Heet
MOBILE: 07816496713
EMAIL: mohammed.taha@uoanbar.edu.iq
Latest Papers:
Smart Electric Systems Resilience Against Attacks: A Review
Abstract – Transforming current power systems into critical Smart Grids (SGs) is a step forward to modernize the grids to cope with the requirements of the critical loads and population expansion. SGs can provide an environment-friendly, reliable, and efficient performance. SGs combine multiple Distributed Energy Resources (DERs) called Distributed Generators (DGs), which are small-scale distributed power plants that produce electric energy across grids. The most common DERs are Renewable Energy Sources (RESs) and traditional diesel generators. Their integration into SGs poses additional dangers to SGs' resiliency. This article summarizes recent studies on various aspects and challenges of SG resilience, focusing on cybersecurity, physical security, grid instability, and regulatory challenges. Many strategies and technologies are aimed at improving SG's resilience. The highlighted issues give insights into future advancements in the SG field with many recommendations for future research on SG resilience, aiming to facilitate robust and sustainable electric grid infrastructures.
Short-Circuit Analysis in a Mini Electrical Grid Using ETAP
Abstract – This study examines the effects of transformer grounding methods on short circuits within a mixed-load electrical network, using Electrical Transient Analyzer Program (ETAP) software for simulation and analysis. It compares the performance of solid grounding and resistance grounding in selecting appropriate circuit breakers and ensuring both network stability and personnel safety. The findings show that resistance grounding significantly reduces fault current magnitudes and mitigates voltage sags compared to solid grounding. While both grounding methods meet safety standards, resistance grounding provides superior voltage recovery after faults, which is particularly advantageous for sensitive industrial loads, such as those found in desalination plants. Based on these results, resistance grounding is recommended for similar mixed-load networks, especially those that incorporate critical industrial processes. This research offers valuable insights into the role of grounding techniques in optimizing the safety, reliability, and power quality of diverse electrical systems, guiding network planners and operators toward more resilient infrastructure.
Wind Energy Potential and Economic Feasibility in Mauritania: A Multi-Site Evaluation of 3MW Turbines
Abstract: This study evaluates the performance of various wind turbine models for different regions in Mauritania, focusing on offshore and onshore sites. The analysis considers wind speed data from four locations: Nouakchott, Nouadhibou, Aleg, and an offshore area near Nouakchott, over four years (2021-2024). Three turbine models XEMC Ltd XE93, Ecotecnia ECO80, and Siemens Gamesa SG132 were assessed for their compatibility with local wind conditions. Key parameters such as wind speed, turbine efficiency, and energy production costs were analyzed to determine the most suitable turbines and locations for wind farm development. Results indicate that coastal and offshore areas, particularly Nouadhibou and the Atlantic offshore zone, offer the highest wind potential, with competitive energy production costs. The findings support the development of wind farms in these regions as a strategic investment to advance Mauritania's renewable energy goals.
Reconfiguration of an Electrical Substation based on Load Flow Analysis
Abstract – A reliable and high-quality power supply is essential for promoting economic growth and improving socioeconomic conditions within a country. However, maintaining power quality is challenging due to bus voltage fluctuations caused by changing loads over time. These voltage fluctuations can be addressed by properly designing and installing substations. Modeling a distribution substation allows for the analysis of various aspects such as voltage magnitude, phase angle, active and reactive power flow, as well as system losses can be analyzed. This study uses Electrical Transients Analysis Program (ETAP) software, known for its accuracy in load flow analysis (LFA), to examine the load flow dynamics of a 33/0.4 kV substation. The study employed the adaptive Newton-Raphson technique, which was applied in real time using actual manufacturer data. The research has two main objectives. First, it optimizes voltage control to ensure a reliable power supply. Also, to upgrade transformers and integrate a capacitor bank to improve the network's power factor. This approach enhances the voltage profile, reduces power losses, and minimizes input current. Consequently, it contributes to a more efficient power system. The results showed that upgrading transformers and integrating capacitor banks improve voltage profiles, reduce power losses, and alleviate transformer overloads.
Number of Papers Indexed in Scopus and WoS: 25
H - Index: 14
Papers: https://www.researchgate.net/profile/Mohammed-Taha-3/research
| No. | Subjects | Lectures | Stage | File | Video |
| 1 | Renewable Energy | (Types, Advantages and Limitations) | Fourth |
|
1- University of Anbar, College of Applied Sciences, Anbar, Iraq
Dean Assistant
Lecturer at The Department of Biophysics Feb 2017 – Present
2- GOPADERD Charity Organization / Ramadi Displaced Persons Camp Nov 2016 – Oct 2018
Team Leader of Rescue and Relief Group
3- University of New Haven, Tagliatela College of Engineering, Connecticut, USA
Power Systems Lab Instructor - Department of Electrical and Computer Engineering April 2015 – Dec 2015
DSP Teaching Assistant - Department of Electrical and Computer Engineering April 2014 – Dec 2014
4- University of New Haven, College of Criminal Justice and Forensic Science, Connecticut, USA
Arabic-to-English Translator – Center for Analytics Jan 2016 – Sep 2016
5- University of Anbar, Renewable Energy Research Centre, Anbar, Iraq
Researcher and Lab Director – Power Systems and Energy Department April 2011 – April 2012
BS.C Project: 4 projects
PhD Supervision: 1 Thesis
Projects & Theses