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Faculty of Engineering & Technology
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Mohamad Abd-Alraheim Badr

Basic information

Name : Mohamad Abd-Alraheim Badr
Title: Dean
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Personal Info: Mohamed Abdelreheim Mohamed Badr Dean of Faculty of Engineering and Technology ,Future University in Egypt (FUE) was born on October ,1,1944

Education

Certificate Major University Year
PhD Electrical Power and Machines University of Saskatchewan- Canada 1974
Masters Electrical Power and Machines University of Saskatchewan- Canada 1971
Masters Automatic Control Ain-Shams University Egypt 1969
Bachelor Electrical Power and Machines Cairo University Egypt 1965

Teaching Experience

Name of Organization Position From Date To Date
Supreme Council of Egyptian Universities Member, Electrical Power and Machines Staff Members Promoting Committee 01/01/2016 01/01/2019
Faculty of Engineering and Technology Future University in Egypt (FUE ) Dean 01/01/2006 01/01/2019
Supreme Council of Egyptian Universities Secretary General Electrical Power and Machines Staff Members Promoting Committee 01/01/2001 01/01/2013
Faculty of Engineering Ain-Shams University Vice Dean 01/01/1999 01/01/2005
Faculty of Engineering Ain-Shams University Professor 01/01/1996 01/01/2005
Faculty of Engineering King Saud University , Riyadh Saudi Arabia Professor 01/01/1990 01/01/1996
Faculty of Engineering Ain-Shams University Professor 01/01/1985 01/01/1990
Faculty of Engineering , King Abdul-Aziz University, Jeddah, Saudi Arabia. Associate Professor 01/01/1980 01/01/1985
Faculty of Engineering , Ain Shams University, Cairo, Egypt. Assistant Professor 01/01/1976 01/01/1980
University of Saskatchewan Canada Assistant Professor 01/01/1974 01/01/1976
Electrical Engineering Department, Ain Shams University, Cairo, Egypt. Assistant Lecturar 01/01/1969 01/01/1976
Electrical Engineering Department, Ain Shams University, Cairo, Egypt. Teaching Assistant 01/01/1965 01/01/1969

Researches /Publications

Enhancing the Performance of Photovoltaic Systems under Partial Shading Conditions Using Cuttlefish Algorithm - 01/1

MOHAMED ABDALRAHEIM MOHAMED BADR

Sameh,M.A, Marei,M.I, Attia,M.A

01/11/2019

Improving the control of Photovoltaic (PV) power plants is an increasing interest worldwide. This improvement would hopefully help in reaching the maximum benefit of PV performance all the time. A lot of challenges are facing the control of PV systems such as Maximum Power Point Tracking (MPPT) of PV. Partial shading has become recently one of the most important challenges facing MPPT. This calls for improving the control strategy of PV power plants to cope with it. The work in this paper utilizes a relatively new optimization method which is the Cuttlefish Algorithm (CFA) to tune a Second Order Amplifier (SOA) for enhancing the PV system performance. The CFA has proved to be a very effective and fast optimization technique that can reach an accurate optimum solution with minimum effort and time. In addition, the SOA also has been found capable of enhancing the PV system performance at any condition if well-tuned. The main objective of this paper is to enhance the performance of a PV system under partial shading conditions through the use of a well selected combination of both the CFA and SOA. The needed mathematical models along with the required computer simulations are developed and the obtained results are analyzed. The reached at conclusions prove that the proposed control system and strategy are successful in achieving the declared objectives of the paper

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Optimized PIA Controller for Photovoltaic System Using Hybrid Particle Swarm Optimization and Cuttlefish Algorithms - 01/1

MOHAMED ABDALRAHEIM MOHAMED BADR

Sameh,M.A, Badr,M.A.L, Marei,M.I, Attia,M.A

01/11/2018

In general, optimization control is a relatively new trend where an optimization technique is used to tune the controller parameters for a given system under study. The optimization control is proved to be better than traditional adaptive control in many ways as discussed in this paper. This research work presents optimization control schemes for a Photovoltaic (PV) system. Two optimization techniques are proposed to find the optimum gain values of the controller in a hybrid approach. These techniques are Particle Swarm Optimization (PSO) and Cuttlefish Algorithm (CFA). In addition, two different controllers are considered which are the Proportional-Integral (PI) and the Proportional-Integral-Acceleration (PIA) controllers. Different results are presented and analysed to evaluate the dynamic performance of the proposed control schemes. Finally, robustness tests are carried out to prove the stability of the proposed controllers.

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PV interfacing system based on dual cascaded inverter - 01/1

MOHAMED ABDALRAHEIM MOHAMED BADR

Hamed, A. S., Marei, M. I

01/11/2017

This paper presents an interfacing system of a photovoltaic (PV) array with an electrical grid based on a dual cascaded inverter. The PV array is connected to the main inverter through a boost converter, for maximum power extraction, while the dc-side of the auxiliary inverter is connected to a capacitor bank. The main and auxiliary inverters are controlled to deliver the harvested maximum power from the PV array to the grid and simultaneously regulating the dc-side voltage of the auxiliary inverter at a constant ratio from the dc-link voltage of the main inverter. Four Hysteresis controllers are proposed for the three-phase currents fed to the grid and the dc-side capacitor voltage of the auxiliary inverter. Two switching control methods are adopted for the dual cascaded inverter: the conventional Hysteresis Current Control (HCC) and the Space Vector Modulation (SVM) based HCC. The later technique offers reduced switching numbers for both inverters compared with the conventional HCC. Simulation results show fast dynamic response and accurate performance of the proposed controllers.

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An Efficient Speed Controller of Three Phase Induction Motors Through Direct Torque Control - 01/0

MOHAMED ABDALRAHEIM MOHAMED BADR

Madbouly, S. O, Soliman, H .F

01/04/2016

for three phase (3-ph) induction motors based on direct torque control (DTC). The main function of the DTC is to control the flux, developed torque and the direction of rotation. Many industrial applications require a precise speed control. Most of the available controller techniques could not grantee keeping the 3-Ph induction motor speed constant, while subjected to mechanical load disturbances. A high rejection of the effect of mechanical disturbance is achieved through using the proposed technique with an excellent motor speed regulation as shown in the simulation results. Different speed trajectories have been carried out to verify the robustness of the controller. A variable gain PI controller is introduced to cover all speed references and provide to be an efficient controller. Keywords— Speed Control; 3-Ph Induction Motors; Direct Torque Control; and Variable Gain.

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Sizing Of Reactive Power Compensators For Onshore And Offshore Grid Connected Wind Farms - 01/0

MOHAMED ABDALRAHEIM MOHAMED BADR

Ahmad,M.and Elshimy,M

01/04/2015

Sizing Of Reactive Power Compensators For Onshore And Offshore Grid Connected Wind Farms

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Awards

Award Donor Date
Certificate of Appreciation for outstanding efforts Ain Shams University , Cairo Egypt 2005
State Prize in scientific excellence in engineering science in 2004. Academy of Scientific Research - Arab Republic of Egypt 2004
State Incentive Award in Engineering Science from the Arab Republic of Egypt in 1997. Academy of Scientific Research - Arab Republic of Egypt 1997
Certificate of Appreciation for outstanding performance King Saud University , Riyadh Saudi Arabia 1996
Certificate of Appreciation for outstanding performance King Abdul Aziz University , Jeddah , Saudi Arabia 1985
Cup of Best speaker . University of Saskatchewan, Canada 1974

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