Publications Scientifiques
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Item Data aggregation point placement optimization in Smart Metering Networks(JES, 2024) Grainat, Youcef; Recioui, Abdelmadjid; Oubelaid, AdelThis 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.Item Simulation and Optimization of a Microgrid Energy Management System(Institute of Electrical and Electronics Engineers Inc, 2023) Dassa, Khaled; Recioui, Abdelmadjid; Dekhandji, Fatma ZohraThis paper deals with the deployment and integration of renewable energies and storage systems. An Energy management system is necessary to achieve this objective. Two energy management techniques are considered in this work. They are termed: 'heuristic' and 'optimization' methods. Both methods aim to reduce the overall reliance on the conventional energy source from the main grid by maximizing the output of the two other sources (solar energy and storage system) and thus, reducing the overall cost. This study contrasts the two methods in terms of both grid usage and cost. Simulations considering cloudy and clear sky conditions while ensuring the user's satisfaction are carried out.Item Opportunities of Power Quality Enhancement in Smart Grids with Electric Vehicles(Institute of Electrical and Electronics Engineers Inc, 2023) Dekhandji, Fatma Zohra; Recioui, AbdelmadjidEnvironmental concerns have pushed for the replacement of current gasoline- and diesel-powered cars with zero-emission electric vehicles (EVs). As a result of this substitution, more EVs connect to the power grid. As a consequence of such cars, some problems with energy quality arose. This paper examines the issues that electric vehicles pose to power systems. Using an approach termed Vehicle-to-Grid, EVs may serve as both a load and an energy source. This method brings significant characteristics to a microgrid, such as primary frequency regulation. In this paper, a technique known as Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation taking into account Charging Needs is investigated and demonstrated in MATLAB SIMULINK for various scenarios in order to analyze the affect of these EVs on the frequency of the microgrid.Item 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, OussamaRenewable 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 approachesItem Statement of Peer Review †(MDPI, 2022) Recioui, AbdelmadjidItem Optimal placement of DGs in the distribution networks using an analytical approach(IEEE, 2022) Dekhandji, Fatma Zohra; Baali, Habiba; Recioui, AbdelmadjidThe 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 unitsItem Hydrogen-based hybrid renewable energy system sizing optimization using HOMER(IEEE, 2022) Recioui, Abdelmadjid; Dekhandji, Fatma ZohraConventional power systems are mostly based on fossil fuels. These constitute a substantial source of pollution in addition to being quickly depleted. Isolated areas and communities cannot profit from this type of electric energy for the reason that they are far from the grid. The hybrid renewable energy systems (HRES) have demonstrated to be an excellent solution for such a situation. The purpose of this paper is to design and optimize a standalone hybrid energy system to satisfy the electricity demand for a remote drilling site in Adrar province located in the South of Algeria. To cure the problem of intermittence of the solar and wind sources, a hydrogen-based set up is appended to the hybrid renewable energy system. The simulations are done using HOMER software to determine the optimal the HRES configurations considering techno-economic criteriaItem Optimal Placement of Fault Passage Indicators in Distribution Networks using Genetic Algorithms(Université M'hamed Bougara de Boumerdès, 2021) Recioui, Abdelmadjid; Merdj, Mounir; Anouar, KamliFault 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.Item Hybrid algorithm for cloud-fog system based load balancing in smart grids(Institute of Advanced Engineering and Science, 2022) Saoud, Afaf; Recioui, AbdelmadjidEnergy management is among the key components of smart metering. Its role is to balance energy consumption and distribution. Smart devices integration results in a huge data exchange between different parts of the smart grid causing a delay in the response and processing time. To overcome this latency issue, the cloud computing has been proposed. However, cloud computing does not perform well when there are large distances from the cloud to the consumers. Fog computing solves this issue. In this paper, a cloud-fog computing system is presented to achieve an accurate load balancing. The hybridization of whale optimization algorithm with bat algorithm (WOA-BAT) is proposed for load balancing. The model performance is compared to state of art load balancing techniques as throttled, round robin, whale and particle swarm optimization algorithms in terms of processing and the response time. The results reveal that the proposed WOA-BAT has better results in terms of response time than the three algorithms with 4.3% improvement compared to RR and TH. It also outperforms all the algorithms in terms of processing time by at least 22.3%Item Design and simulation of low distortion current mode control power factor correction converter(IEEE, 2020) Bouaraki, Mouloud; Dekhandji, Fatma Zohra; Recioui, AbdelmadjidThe spread of switched-mode power supplies for DC appliances to fulfill effectiveness and performance goals has been met with the growth of industry legislation and recommended practices for power quality assurance (e.g., IEC 61000-3-2). The generation of harmonic content induced by non-linear loads is an undesirable side effect to the conversion of electrical energy in the network which in turn lowers the power factor leading to greater power consumption and losses throughout the grid. In this project, an Active Power Factor Correction (PFC) circuit based on boost converter with its control system will be introduced, which is a relatively simple and low-cost circuit. The design and simulation of boost converter with Average Current Mode control in Continuous Conduction Mode (CCM) will be presented in order to achieve a high switching frequency and power factor, with a low total harmonic distortion and high efficiency