Publications Scientifiques

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Author: search.filters.author.Recioui, AbdelmadjidSubject: search.filters.subject.Optimization

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    Data aggregation point placement optimization in Smart Metering Networks
    (JES, 2024) Grainat, Youcef; Recioui, Abdelmadjid; Oubelaid, Adel
    This study explores the application of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) within the framework of smart grids (SG), specifically for the optimal placement of data aggregation points (DAPs) across a network of 150 Z-wave smart meters distributed within various smart cities. The investigation aims to identify which of the two- optimization strategies offers a more cost-efficient solution while evaluating their performance in terms of transmission average latency (AL) and execution time (ET) efficiency. The results indicate that although ACO slightly edges out PSO in reducing overall costs in networks with a higher complexity and more DAPs, PSO demonstrates superior performance in execution speed, lower AL, and total cost, underscoring its viability for swift integration in smart metering infrastructures.
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    Joint economic and emission load dispatch for the Algerian grid via an improved harmony search algorithm
    (Springer, 2023) Bouaraki, Mouloud; Dekhandji, Fatma Zohra; Recioui, Abdelmadjid; Benmissoum, Abdellah; Khellas, Oussama
    Renewable energy sources (RES) have been very popular as they reduce the release of damaging toxins to the air contrary to fossil fuel combustion. The economic load dispatch (ELD) issue looks for the optimal dimensioning of the RES to lessen the fuel cost while Emission Dispatch (ED) is concerned with the best dimensioning of the RESs to decrease the quantity of the produced pollutants. A multi-purpose Joint Economic-Emission Dispatch (JEED) seeks the best RES dimensioning by compromising the fuel fee and toxin release simultaneously. In this paper, a JEED problem is solved for a ten-unit Algerian Network using a recent optimization algorithm named Improved Harmony Search Algorithm (IHSA). The obtained results suggest that the considered JEED problem proves to be more practical than when ELD and ED are dealt with separately. Also, an enhancement in terms of economic and emission dispatch is obtained for the considered case. This work also witnesses on the superiority of the IHSA over state of art approaches
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    Optimal placement of DGs in the distribution networks using an analytical approach
    (IEEE, 2022) Dekhandji, Fatma Zohra; Baali, Habiba; Recioui, Abdelmadjid
    The work deals with the penetration of Distributed Generators (DGs) units into a simple radial system. An analytical optimization method is used to determine the optimal locations and sizes of the DGs minimizing the power distribution loss. A load flow method called Backward/Forward is used. In addition, a method based on the calculation of Voltage Stability Index (VSI) is employed to ensure the stability of the system after the placement of DG units
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    Optimal Placement of Fault Passage Indicators in Distribution Networks using Genetic Algorithms
    (Université M'hamed Bougara de Boumerdès, 2021) Recioui, Abdelmadjid; Merdj, Mounir; Anouar, Kamli
    Fault Passage Indicators (FPIs); also named Faulted Circuit Indicators (FCIs), 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, these devices can be deployed along the feeder to reduce, or even eliminate, the uncertainty about the fault location. The number and location of FPIs affects the network reliability that can lead to extra charge on the distribution companies as well as the consumers. In this work, the optimal number and location of fault passage indicators in Power Distribution Networks (PDN) are determined. The problem is cast as an optimization task with a special economical combined objective function and solved using the genetic algorithms. The work has been tested on the two case studies, IEEE 9 bus and IEEE 33 bus systems.
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    PMU reporting rate optimization for data transfer enhancement in wide area monitoring systems
    (IEEE, 2020) Afaf, Saoud; Recioui, Abdelmadjid
    The main factor to enabling a smart grid system is the perfect link between the existing grid systems and informationcommunication technologies (ICTs). As data become larger, latency and reliability requirements for different smart grid applications vary widely and are not easily obtainable to practitioners. In this work, data transfer enhancement in wide area monitoring (WAMS) applications is addressed. The improvement is done using optimization of PMU reporting rate which is fixed in the standardized WAMS operation. The reporting rate is considered as a variable parameter that needs to be optimized for the enhancement of the sytem performance. The results reveal that this factor affects the operation of the WAMS and can be exploited to improve the overall system performance. The standards must take into account the variable nature of this parameter and should make it tunable by the users
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    Pattern nulling of linear array antennas with mutual coupling effects using taguchi method
    (IEEE, 2012) Recioui, Abdelmadjid; Bentarzi, Hamid
    The purpose of the present work is to employ the Taguchi's optimization technique, which is a relatively new optimization technique, for null steering in the antenna radiation pattern by controlling only the element positions of a nonuniform linear array for a specified beamwidth and minimum achievable sidelobe level. As a practical part, an array of parallel dipoles is designed to account for the mutual coupling effects on the performance of the array in terms of directivity, sidelobe level and null placement. Illustrative examples are considered to impose single or multiple nulls in the antenna pattern at specific interference directions with the maximum side lobe level reduction of array antenna design