أ.د. علي جعفر الحسيني
السيرة الذاتية
الاهتمامات البحثية
البحوث المنشورة
English Website
[email protected] : الايميل
حصل الاستاذ الدكتور علي الحسيني على درجة البكالوريوس والماجستير في الهندسة الكهربائية من الجامعة التكنولوجية في العراق في عامي 1995 و1997 على التوالي. ثم حصل على درجة الدكتوراه من جامعة ليفربول في المملكة المتحدة عام 2011 في تخصص تطبيقات الذكاء الاصطناعي في الطاقات المتجددة. يشغل الدكتور علي الحسيني حاليا منصب عميد كلية هندسة تكنولوجيا المعلومات في جامعة الزهراء (ع) للبنات. وقد تمت إعارته من جامعة كربلاء، حيث شغل منصب رئيس قسم الهندسة الكهربائية والإلكترونية من 2013 إلى 2016، بالإضافة إلى عمله كمدير قسم الدراسات العليا ومدير تحرير مجلة العلوم الهندسية في كلية الهندسة. تشمل اهتماماته البحثية مواضيع متعددة مثل تقنيات السيطرة والذكاء الاصطناعي لأنظمة الطاقة المتجددة، التحكم في الروبوتات الجراحية، ونقل الطاقة الكهربائية لاسلكيا.
تقنيات السيطرة والذكاء الاصطناعي لأنظمة الطاقة المتجددة، التحكم في الروبوتات الجراحية، ونقل الطاقة الكهربائية لاسلكيا.
A Tuning of PID Power Controller using Particle Swarm Optimization for an Electro-Surgical Unit.
English Electro surgical unit is a popular modern device. It has been used in operating rooms for cutting, fulguration and coagulation of human tissues. ESU generates high frequency alternating current to prevent the stimulation of nerves and muscles. The objective of this article was to improve the performance of an ESU by controlling its output power under the variation of tissue impedance using proportional integral derivative controller based on particle swarm optimization to achieve minimum overshoots and fast dynamic response. The controller was simulated in MATLAB/SIMULINK to demonstrate the superiority of the suggested method. A comparative analysis was presented with ESU utilizing manual tuning process. The results showed that the proposed controller offered best performance utilizing manual tuning method. Moreover, both of the tuning methods presented better results from open-loop controller
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جميع البحوث المنشورة
Concentration of solar energy may be obtained by reflection, refraction, or a combination of the two. The collectors of a reflection system are designed to concentrate the sun’s rays onto a photovoltaic cell or steam tube. Refractive lenses concentrate light by having it travel through the lens. The sun’s rays are partially reflected and then refracted via a hybrid technique. Hybrid focus techniques have the potential to maximize power output. Fresnel lenses are an efficient tool for concentrating solar energy, which may then be used in a variety of applications. Development of both imaging and non-imaging devices is occurring at this time. Larger acceptance angles, better concentration ratios with less volume and shorter focal length, greater optical efficiency, etc., are only some of the advantages of non-imaging systems over imaging ones. This study encompasses numerical, experimental, and numerical and experimental studies on the use of Fresnel lenses in various solar energy systems to present a comprehensive picture of current scientific achievements in this field. The framework, design criteria, progress, and difficulties are all dissected in detail. Accordingly, some recommendations for further studies are suggested. © 2024 by the authors.
The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer. © 2021 IEEE.
One of the predominant problems encountered by consumers in the Al-Gharab network in Al-Qadisiyah, Iraq, pertains to the issue of scheduled power interruptions due to the high gap between the generation and demand. The network also suffers from power losses and voltage deviations. This study aims to eliminate the issue of scheduled power interruptions by integrating Distributed Generation (DG) sources based on the available energy sources, which are Waste-To-Energy (WTE), in addition to the Photovoltaic (PV) sustainable source. The proposed system is simulated using the Open Distribution System Simulator (OpenDSS). The AutoAdd Optimization (AAO) technique was adapted to determine the optimal placement and size of the distributed generators. The findings indicated that the integration of WTE generation with solar PV plants result in power generation that is adaptable to variations in solar irradiation and fluctuations in demand, meeting roughly 50 % of the power demand in the Al-Gharab network throughout the day. This led to a 50 % decrease in the amount of electricity sourced from the national grid. Additionally, the outcomes of the simulation demonstrated that the suggested hybrid system improves network efficiency by reducing total active power losses, total reactive power losses, and voltage deviation index by 77 %, 42 %, and 87 %, respectively. The Homer Pro tool was used for the economic viability analysis. The findings exhibited a satisfactory economic feasibility. The Levelized Cost of Energy (LCOE) of the proposed system was found to be 0.0877 $/kWh, representing a 7.7 % reduction compared to the base case (without DG), with a simple payback period of 9.6 years. © 2024
This paper introduces a robust approach, integrating a Virtual Inertia Controller (VIC) with a modified demand response controller for an islanded Multi-Microgrid (MMG) system, accommodating high levels of Renewable Energy Sources (RESs). In these MGs, the low inertia in the system has an undesirable impact on the stability of MG frequency. As a result, it leads to a weakening of the MGs overall performance. A novel fractional derivative virtual inertia is integrated into the VIC loop to address this issue. This enhancement aims to fortify the MG's stability and robust performance, particularly when facing contingencies. Furthermore, a modified demand response controller has been incorporated into the proposed inertia control technique to mitigate the frequency fluctuations and reduce stress on the energy storage system (ESS). Fractional Order Proportional Integral Derivative (FOPID) controllers have been employed to regulate the active power output of the biodiesel generators and the Geothermal station in the MG. The hybrid sparrow search and mountain gazelle optimizer algorithm (SSAMGO) optimizes the parameters for the three-loop controller. Time-domain simulations assess the effectiveness of proposed controllers in enhancing system frequency stability. SSAMGO's performance was comprehensively evaluated, comparing it to various optimization algorithms in diverse scenarios. The results obtained from the MMG system demonstrate that utilizing the proposed controller technique, optimized with hybrid SSAMGO parameters, yields notable improvements in settling time by 24.68%, 46.20%, 7.52%, and 61.01%, steady-state error values by 72.56%, 98.18%, 98.73%, and 6.67%, undershoot by 105.76%, 144.23%, 19.23%, and 7.69% compared to other state-of-the-art algorithms presented in the literature. Finally, the proposed control technique's effectiveness and robustness are assessed in comparison to conventional inertia control across various system scenarios. These scenarios encompass random load demand fluctuations, real-time changes in RES, and a wide spectrum of system operations, including situations with reduced damping and inertia and high levels of load variation. © 2013 IEEE.