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Faculty of Engineering & Technology
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Mariam A. Sameh

Basic information

Name : Mariam A. Sameh
Title: Assistant Lecturer
Personal Info: name: Mariam Ahmad Sameh Mohamad Birth Date: 14/5/1986

Education

Certificate Major University Year
Masters Electerical Department Ain Shams University -Faculty of Engineering 2014
Bachelor Electrical Engineering - Power & Machines Ain Shams - Egypt 2008

Teaching Experience

Name of Organization Position From Date To Date
Future University Lecturer Assistant 01/01/2014 01/01/2015

Researches /Publications

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

MARIAM AHMED SAMEH MOHAMAD AHMED ABBADI

Mahmoud A. Attia, Mostafa I. Marei

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

MARIAM AHMED SAMEH MOHAMAD AHMED ABBADI

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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Technical, Economical, and Environmental Evaluation for Sizing and Siting of Distributed Generation in Electric Power Networks - 01/0

MARIAM AHMED SAMEH MOHAMAD AHMED ABBADI

Mahmoud A Mostafa; Walid El-Khattam;

01/01/2014

Distributed Generations (DGs) have spread widely in electric distribution systems due to their positive impacts on the system. One of the main benefits is using DGs as an alternative element in electric distribution expansion planning. Thus, this paper investigates the optimal solution of sizing and siting of DG units in electric distribution system using the Particle Swarm Optimization (PSO) technique. It takes into consideration minimizing the distribution network losses, improving the voltage profile, and improving economic and environmental aspects. Two electric distribution systems are used to evaluate the proposed PSO technique. The first system is used to verify the proposed PSO technique by comparing the obtained results with a previously studied Numerical technique. The second system is a practical distribution system (Borg El-Arab substation; a part of the Egyptian National Electricity network) where the proposed PSO technique is implemented. The obtained results are evaluated and discussed. Finally, conclusions are reported.

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