Browsing by Author "Recioui, Abdelmadjid (Supervisor)"

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Design of elliptic antenna arrays using gray wolf optimization
(2018) Traikia, Oussama; Recioui, Abdelmadjid (Supervisor)
In this work, Grey Wolf Optimization (GWO) is applied to the elliptical and concentric elliptical antenna arrays to minimize the Side lobe and to improve the directivity. GWO is a nature-inspired meta-heuristic algorithm inspired by the social hierarchy and hunting behavior of grey wolves. The obtained optimal values result in a good reduction of the side lobe level for the elliptical and concentric elliptical antenna arrays with an enhancement in the directivity. This makes the designed arrays of practical use in the communication systems.
An Energy management simulation in microgrids
(2022) Gasmi, Farouk; Amarouche, Ahmed Amine; Recioui, Abdelmadjid (Supervisor)
This project addresses boths economic and enviromental issues. It aims at deploying solar energy and an energy storage system and integrating them into the gird. This requires the existence of an energy management system. two energy management methods : 'heuristic" and ' optimisation' methods are considered in this work....
Fault detection in power systems based on power line communication
(Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2016) Haroun, Macinissa; Gharmouli, Djilani; Recioui, Abdelmadjid (Supervisor)
Power Line Communications (PLC) is the technology that has the advantage of using the existing electrical infrastructure to transfer data in communication networks. The aim of this work is to apply this technology in power system by designing a bidirectional system capable to transfer data over transmission lines from different sites to the control center in order to detect the faults and then correct them by sending control signals to trip the protective instruments when necessary via PLC.
Optimal placement of FPIs in distribution systems
(2021) Merdj, Mounir; Kamli, Anouar; Recioui, Abdelmadjid (Supervisor)
Fault Passage Indicators (FPIs) also called FCIs, Faulted Circuit Indicators have been under development for the last 70 years including new capabilities to satisfy the needs of the distribution network operators. In order to improve system stability, faulted circuit indicators (FCI) can be allocated along the feeder to reduce, or even eliminate, the uncertainty about the fault location. The location and number of FPIs effects on the reliability indices and can extra charge the distribution companies and consumers. In this work, the optimal location and number of fault passage indicator (FPI) are determined in Power Distribution Network (PDN) with special economical combined objective function using the genetic algorithm to solve the optimization problem. Further, simultaneous reconfiguration of the system is incorporated to maintain the continuity of supply. Fault Passage Indicator has been implemented first in PC using Matlab_Simulink, then tested on the two case studies, IEEE9 bus & 33 bus systems. At the end the results are presented discussed.
Optimal sizing of renewable energy system and hydrogen using HOMER
(2022) Belayachi, Chihebeddine; Khadri, Mohamed; Recioui, Abdelmadjid (Supervisor)
The Conventional power system is mostly based on fossil fuel power plants. The latter is a huge source of pollution while its primary energy, fossil fuel, is being quickly depleted. However, certain isolated loads and communities cannot profit from this electric energy for the reason that there is no network. Hybrid renewable energy systems have demonstrated to have a marvelous scope in the coming future. The purpose of this project is to propose a hybrid energy system to supply the electricity demand dependably and sustainably for an off-grid remote drilling site in Adrar. The suggested system is constituted of a Photovoltaic source, wind turbine, diesel generator, battery storage, and hydrogen system. The simulation is done using HOMER software to identify the optimal HRES loices by considering techno-economic criteria.
Optimal sizing of renewable energy system using iHOGA simulator
(2022) Benaissa, Narimene; Recioui, Abdelmadjid (Supervisor)
Traditional electrical energy generation approaches which rely on oil and its deriva-tives, produce different kinds of pollution in addition of being expensive to be imple-mented and maintained. Renewable energy is a term for clean sustainable energy that is derived from naturally regenerating sources. The sun is an unlimited source for hu-manity around the world and a competitive one with strong potential, specially in the southern zone of Algeria, where high magnitudes of solar radiation are present and represent an important parameter in sizing the PV systems. This study presents a techno-economic feasibility evaluation for the installation of a stand-alone PV system which covers the electrical demand of 20 houses in Tindouf by selecting the right components and compare the results of the simulation between the two control strategies load following and cycle charging using the hybrid simulator iHOGA , which include the net total cost, CO 2 emissions and their impact on the environment.
Smart metering system optimization using global algorithm
(2021) Bedjil, Amine; Harir, Mustapha; Recioui, Abdelmadjid (Supervisor)
Non-technical losses or electricity theft have been a serious problem in many developing countries for a long time. This study aims to develop a practical method for determining and reducing the non-technical losses in the power grid by detecting where the suspicion of incorrect registration of electricity consumption occurs and reveal the electricity theft. The proposed method summarizes a mathematical optimization method and modeling technique of smart metering system optimization by using a particular algorithm to identify and minimize the measurement errors for increasing the electricity readings accuracy and lowering the electricity losses and related costs.
Wide-area network state monitoring system based on lora communication
(2021) Mokhbi, Yasser; Mecheri, Aymen; Recioui, Abdelmadjid (Supervisor)
To meet the requirements of long range, small amount of data transmission, better data correctness and less delay, a wide-Area Network State Monitoring System approach based on LoRa communication is discussed in our Project. The objective is to study and test the performance of Two communication techniques used in wide area monitoring system, a single input single output (SISO) system and a multiple input multiple output system (MIMO) in terms of Bit Error Rate (BER) with varying the signal to noise Ratio (SNR). In addition, we study the Wide Area Monitoring system based on LoRa communication. The IEEE 14-bus power system with Phasor Measurement Units (PMUs) placed at selected buses is considered. The simulation results demonstrate that the MIMO system overtake the SISO system for better Bit Error Rate. Furthermore, the value of the reporting rate has been varied for both systems in MATLAB to see the effect on the data correctness and the results show that the Bit Error Rate value decreases with the increase of reporting rate. Finally, we dealt with a modified LoRa MATLAB code emulator to investigate the data error and delay. The results show that LoRa Technology has better performance in terms of delay and error.