Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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    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, Abdelmadjid
    Photovoltaic (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 performance
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    Design of an Advanced Optimal Fuzzy Controller For a Binary Distillation Column
    (Université M'hamed Bougara de Boumerdès, 2024) Bendib, Riad; Mechhoud, El-arkam; Bentarzi, Hamid; Batout, Naoual
    The most common control philosophy followed in the chemical process industries is the SISO system using the conventional PID controller algorithms. One drawback is relying on models for both control and design work in Chemical process industries (CPI) is that many problems are very complex and accurate models are difficult, if not impossible to obtain. To overcome these problems, it will be helpful to apply techniques that use human judgment and experience rather than precise mathematical models, which in the major cases deduced from the linearization of the system and simplification hypothesis. The fuzzy logic systems are capable of handling complex, nonlinear systems using simple solutions. However, obtaining an optimal set of fuzzy membership functions is not an easy task. In this chapter a solution based on artificial intelligence is proposed to improve the control of a binary distillation column. The solution is based on the use of the advantages of both fuzzy logic and genetic algorithms. The fuzzy logic is used as a supervisory PI controller that is a simple PI controller that generally used in controlling distillation columns with parameters deduced from the fuzzy supervisor. The membership functions shape is deduced by using research algorithms based on hierarchical genetic algorithms. The results show that the Fuzzy supervisory PI controller provide an excellent tracking toward set point change
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    Photovoltaic panel parameters estimation using grey wolf optimization technique †
    (MDPI, 2022) Touabi, Cilina; Bentarzi, Hamid
    In different photovoltaic PV applications, it is very important to model the PV cell. However, the model parameters are usually unavailable in the datasheet provided by the manufacturers and they change due to degradation. This paper presents a method for identifying the optimal parameters of a PV cell. This method is based on the one diode model using the grey wolf algorithm as well as datasheets. An algorithm is implemented in a SIMULINK simulator for making the I-V and P-V characteristics. This approach is found to be useful for designers due to its simplicity, fastness, and accuracy. The final results are compared to demonstrate the efficiency and accuracy of the proposed method
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    Sub-Synchronous torsional interaction study and mitigation using a synchro-phasors measurement Unit †
    (MDPI, 2022) Tsebia, Mohammed; Bentarzi, Hamid
    In a power plant, sub-synchronous resonance is not encountered very often, but when it occurs, it can cause a very serious problem and severe damage. Many efforts have been investigated to study and hence mitigate a resonance produced between electrical synchronous machines and the electrical grid that may arise for frequencies other than the fundamental one (50 Hz). Natural resonances in the electrical grid incorporating series capacitors can appear for sub-synchronous frequencies and can be both a series and parallel resonance nature. Mitigation techniques are required for a power plant with an extensive turbine-generator string located near a long power transmission line with series capacitors. Due to the severe consequences, power plants that risk sub-synchronous resonance (SSR) may be equipped with appropriate protection. However, if the sub-synchronous resonance frequencies of the network coincide with any of the mechanical frequencies of the turbine-generator shaft, torsional interaction that is called sub-synchronous torsional interaction (SSTI). If the electrical damping for a specific frequency in the network is insufficient or negative in comparison to mechanical damping, it may lead to this sub-synchronous torsional interaction. This phenomenon can be hazardous causing fatigue in the turbine-generator shaft, which results in the failure of the power generation unit. It can also occur due to the interaction between a control system of converters and the turbine generators. In this research paper, a study using different methods of analysis developed by transmission system operators (TSOs) and the manufacturers with one case study is presented. Additionally, different mitigation techniques, such as filtering and damping, are suggested. Furthermore, a demonstration for measuring principles as well as monitoring and protection against SSTI using a synchro-phasors measurement unit has been presented
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    Reduction in the use of fossil fuels by improving the interconnection power system oscillation
    (Institute of Advanced Engineering and Science, 2023) Tsebia, Mohammed; Bentarzi, Hamid
    Many international organizations have called for reducing usage of renewable energy as a means to reduce carbon dioxide emissions, this paper studies the case of electricity production based to fossil fuels. Currently existing solutions is to shift from fossil fuels to clean renewable energy. Electrical interconnections are used between large-scale areas; these interconnections have a major problem that is the phenomenon of oscillations. The amount of fossil energy used by power plants depends on the electrical load required. with these conditions it is not possible to reduce the amount of energy required to satisfy the electrical load required. The solution proposed in this paper is the improvement of interarea oscillation using phasor measurement unit technology for real-time monitoring and accuracy of measurements. We tested the proposed solution for the north African power system. The results show the importance of improving interconnection networks to reduce fossil fuels use
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    Frequency control system effectiveness in a combined cycle gas turbine plant †
    (MDPI, 2022) Talah, Djamila; Bentarzi, Hamid
    Combined cycle gas turbines (CCGTs) have considerable merits and are mainly the most frequently researched topics in power generation, due to their attractive performance characteristics and low-emission combustion system. A change in power demands throughout a power system is reflected by a change in the frequency in the network. Therefore, a significant loss in a power system without a suitable control system can cause an extreme frequency disturbance in the network. However, it has been observed that many research studies have focused on control issues and voltage stability, contrary to frequency control, which receives less interest in this field. Considering these remarks, our contribution deals with the frequency control system. This study focuses on the effectiveness of the frequency control system in a combined cycle gas turbine plant. Thus, a dynamic model for a CCGT plant has been developed in MATLAB/Simulink, and the power system responses are examined following the frequency deviation
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    State feedback linearization using block companion similarity transformation
    (Institute of Advanced Engineering and Science, 2021) Kessal, Farida; Hariche, Kamel; Bentarzi, Hamid; Boushaki, Razika
    In this research work, a new method is proposed for linearizing a class of nonlinear multivariable system; where the number of inputs divides exactly the number of states. The idea of proposed method consists in representing the original nonlinear system into a state-dependent coefficient form and applying block similarity transformations that allow getting the linearized system in block companion form. Because the linearized system’s eigenstructure can determine system performance and robustness far more directly and explicitly than other indicators, the given class multivariable system is chosen. Examples are used to illustrate the application and show the effectiveness of the given approach
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    Human–Robot shared control for path generation and execution
    (Springer, 2019) Belaidi, Hadjira; Hentout, Abdelfetah; Bentarzi, Hamid
    A telerobotic system consists of integrating an operator into the control loop of a remote robot. Due to safety considerations, it is very important sometimes that the operator be able to remotely take control of the task and the robot. In this paper, a shared control mode for mobile robots is defined according to the operator ability to control the robot and the autonomy level of the robot itself. In this mode, the task execution is simultaneously accomplished by the operator and the robot, according to the percentage of the task-share coefficient. This depends on several factors such as robot autonomy, user ability, environment accessibility and task difficulty. An experimental application of the developed shared control for path generation task execution is planned for a non-holonomic mobile robot evolving inside a workspace cluttered with static obstacles. In this case, Non-Uniform Rational B-Splines curves are used to generate the robot path linking the Starting point I and the Target point F. The operator can control the robot even by selecting or inserting new control points on the initial feasible path, or by directly moving the robot via the developed Human/Robot Interface or the joystick
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    Differential relay reliability enhancement using fourth harmonic for a large power transformer
    (Springer, 2017) Bouderbala, Rachid; Bentarzi, Hamid
    A differential relay that is very sensitive relayoperating even at its limits may be used for protecting apower transformer. However, this characteristic may leadto unnecessary tripping due to transient currents such as aninrush and over excitation current. In order to avoid thismal-operation of the relay, a second and fifth harmonicblocking technique has been used; however this techniqueis not reliable if a second harmonic magnitude is weak. Inthis paper, a new approach is proposed using even har-monics (second and fourth). The test results show that thisproposed approach is a good blocking technique associatedwith the differential relay even for large modern powertransformer which has small second harmonic as well; itprovides a good discrimination between the transient cur-rents and the internal fault currents during internal fault.
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    Comprehensive learning bat algorithm for optimal coordinatedtuning of power system stabilizers and static VAR compensator inpower systems
    (Taylor and Francis Ltd, 2019) Bousaadia, Baadji; Bentarzi, Hamid; Bakdi, Azzeddine
    This article presents a novel comprehensive learning bat algorithm (CLBAT)for the optimal coordinated design of power system stabilizers (PSSs)and static VAR compensator (SVC) for damping electromechanical oscilla-tions in multi-machine power systems considering a wide range of oper-ating conditions. The CLBAT incorporates a new comprehensive learningstrategy (CLS) to improve microbat cooperation; location updating is alsoimproved to maintain the bats’ diversity and to prevent premature con-vergence through a novel adaptive search strategy based on relative trav-elled distance. In addition, the proposed elitist learning strategy speedsup convergence during the optimization process and drives the globalbest solution towards promising regions. The superiority of the CLBATover other algorithms is demonstrated via several experiments and com-parisons through benchmark functions. The developed algorithm ensuresconvergence speed, credibility, computational resources and optimal tun-ing of PSSs and SVCs of multi-machine systems under different operatingconditions through eigenanalysis, nonlinear simulation and performanceindices.