Publications Scientifiques
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Item Photovoltaic Panel Parameter Estimation Enhancement Using a Modified Quasi-Opposition-Based Killer Whale Optimization Technique(Multidisciplinary Digital Publishing Institute, 2025) Touabi, Cilina; Ouadi, Abderrahmane; Bentarzi, Hamid; Recioui, AbdelmadjidPhotovoltaic (PV) energy generation has seen rapid growth in recent years due to its sustainability and environmental benefits. However, accurately identifying PV panel parameters is crucial for enhancing system performance, especially under varying environmental conditions. This study presents an enhanced approach for estimating PV panel parameters using a Modified Quasi-Opposition-Based Killer Whale Optimization (MQOB-KWO) technique. The research aims to improve parameter extraction accuracy by optimizing the one-diode model (ODM), a widely used representation of PV cells, using a modified metaheuristic optimization technique. The proposed algorithm leverages a Quasi-Opposition-Based Learning (QOBL) mechanism to enhance search efficiency and convergence speed. The methodology involves implementing the MQOB-KWO in MATLAB R2021a and evaluating its effectiveness through experimental I-V data from two unlike photovoltaic panels. The findings are contrasted to established optimization techniques from the literature, such as the original Killer Whale Optimization (KWO), Improved Opposition-Based Particle Swarm Optimization (IOB-PSO), Improved Cuckoo Search Algorithm (ImCSA), and Chaotic Improved Artificial Bee Colony (CIABC). The findings demonstrate that the proposed MQOB-KWO achieves superior accuracy with the lowest Root Mean Square Error (RMSE) compared to other methods, and the lowest error rates (Root Mean Square Error—RMSE, and Integral Absolute Error—IAE) compared to the original KWO, resulting in a better value of the coefficient of determination (R2 ), hence effectively capturing PV module characteristics. Additionally, the algorithm shows fast convergence, making it suitable for real-time PV system modeling. The study confirms that the proposed optimization technique is a reliable and efficient tool for improving PV parameter estimation, contributing to better system efficiency and operational performanceItem 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 Statement of Peer Review †(MDPI, 2022) Recioui, AbdelmadjidItem 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 efficiencyItem PMU reporting rate optimization for data transfer enhancement in wide area monitoring systems(IEEE, 2020) Afaf, Saoud; Recioui, AbdelmadjidThe 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 usersItem Capacity optimization of MIMO systems involving conformal antenna arrays using a search group algorithm(2020) Recioui, AbdelmadjidMIMO systems constitute a backbone of the fourth and fifth generations of wireless communication systems. The purpose of this paper is to introduce the involvement of conformal antenna arrays into MIMO systems. The Search Group Algorithm (SGA) is then used to further enhance the capacity of MIMO system employing conformal antenna arrays at both ends (Transmitter; Tx and Receiver; Rx). The results reveal that compared to the linear and 2D cases, conformal antenna arrays promise higher capacity values which motivates their employment in future MIMO communication systemsItem PMU optimal placement in wide area monitoring systems using grey wolf optimization technique(2019) Azzougui, Yasmina; Recioui, Abdelmadjid; Mansouri, A.Wide area monitoring system requires the integration of an advanced technology that provides real time synchronized phase angle measurements at all their measurement points. The phasor measurement units are the most advanced devices to achieve that. The objective of this work is first, to find the optimal placement of a minimum number of PMUs in some standardized IEEE systems. Next, the same method was applied to the Algerian 63 bus system. Two cases are taken into consideration: the minimum number of PMUs without considering the ZIB, then, considering the ZIB. The simulations are carried out using MATLAB/SIMULINK