Publications Internationales
Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13
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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 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 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 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 Hardware and software load power control in smart home applications based on Taguchi optimisation technique(Inderscience, 2018) Azzougui, Yasmina; Recioui, AbdelmadjidPower control is one of the concerns in smart grid implementation. The balance between the supplied power and the demand must be maintained so that blackouts are avoided. Smart metres play an important role in establishing this balance. On the other hand, power control implementation is a challenge as one would have to find the right mix between the hardware and the software parts. The purpose of this work is to optimise and implement a small power control system of home appliances. The objective of the optimisation is to reschedule some tasks if the power demand exceeds a certain peak level. The optimisation is based on Taguchi method which is known of its robustness and relatively fast convergence. The system casts a real life situation and can be considered as a small-scale prototype that can be extended to larger systemsItem Application of the moth flame optimisation to the selective harmonic elimination in multilevel converters(Inderscience, 2018) Azzougui, Yasmina; Recioui, AbdelmadjidHarmonics constitute one of the power quality headaches that need to be dealt with seriously in the modern power grids. Particularly, the integration of renewable energy systems has brought with it more harmonic pollution due to the need of power electronic switching devices. In this work, it is attempted to employ one of the proliferating optimisation techniques to solve the selective harmonic elimination problem in conjunction with a reduction of the overall system total harmonic distortion (THD). The moth flame optimisation technique is found very capable of handling such a problem and the results demonstrate the effectiveness of the method and the applicability of the designed switching systemItem Capacity optimization of MIMO wireless communication systems using a hybrid Genetic-Taguchi algorithm(Springer, 2013) Recioui, Abdelmadjid; Bentarzi, HamidItem Optimal multiobjective design of digital filters using taguchi optimization technique(2014) Ouadi, Abderrahmane; Bentarzi, Hamid; Recioui, AbdelmadjidThe multiobjective design of digital filters using the powerful Taguchi optimization technique is considered in this paper. This relatively new optimization tool has been recently introduced to the field of engineering and is based on orthogonal arrays. It is characterized by its robustness, immunity to local optima trapping, relative fast convergence and ease of implementation. The objectives of filter design include matching some desired frequency response while having minimum linear phase; hence, reducing the time response. The results demonstrate that the proposed problem solving approach blended with the use of the Taguchi optimization technique produced filters that fulfill the desired characteristics and are of practical useItem A hybrid wind/solar/diesel stand alone system optimisation for remote areas in Algeria(Inderscience, 2014) Chellali, Farouk; Recioui, Abdelmadjid; Redah Yaiche, M.
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