AMAR Guichi

Attabi Youcef , Boucetta Baha Eddine, Attabi Abdelhalim

Design and Control of Lithium-ion Battery Pack – Application to the Implementation of Handheld Car Pressure Washer

ZEROUAK Manal , BEHLOULI Imane

Identification of Photovoltaic Module Parameters for Simulation Application

BAKHTAOUI djamila , ALLAL siham

Modeling and control of a grid-connected photovoltaic system

MESSAHEL nor el houda , BEN DJOUDI nadjoua

Implementation of the DTC technique in a DSP card to control an asynchronous motor intended for electric vehicles

OUCHENE MAROUANE , ADJENEG MUSTAPHA

Mise en œuvre d’un kit didactique d’un générateur éolien et conception d’une interface d’acquisition et de supervision

FRIDJA RADHWANE , SAMAI SAMIR

Commande d’un moteur asynchrone destiné au véhicule électrique

BOUDARRADJI Salima , OULD MAKHLOUFI Meriem

Etude et commande d’un générateur photovoltaïque sous ombrage partiel raccordé à un réseau électrique

DILMI Fhima , TAHMI Wafa

Poursuite du point de puissance maximale d’un générateur photovoltaïque sous ombrage partiel

ALLAL HOUSSYN

MODELISATION ET COMMANDE D’UNE MACHINE ASYNCHRONE DOUBLE ALIMENTATION POUR UN SYSTEME D’ENERGIE EOLIENNE

BELLA Saad

ÉTUDE ET COMMANDE D’UN SYSTÈME PHTOVOLTAÏQUE CONNECTÉ AU RÉSEAU

TALLAB Rabah

ÉTUDE, MODÉLISATION ET COMMANDE D’UN SYSTÈME PHOTOVOLTAÏQUE A CHARGE ISOLÉE

As the transition from traditional power grids to smart grids—and from centralized bulk generation to distributed generation—continues, accurate modeling and parameter estimation of photovoltaic (PV) systems have become increasingly essential. Given the growing role of PV power in modern energy infrastructures, precise models that closely mimic real system behavior are crucial for effective control, monitoring, and power generation forecasting. However, due to the inherent nonlinear characteristics of PV panels, efficient algorithms capable of addressing this behavior are required. Among these, metaheuristic optimization algorithms are most commonly used. In this work, we apply a recently introduced and powerful optimization algorithm, Water Uptake and Transport in Plants (WUTP), inspired by the biological process of water movement in plants, for precise estimation of PV model parameters. The WUTP algorithm is first used to extract the parameters of various PV panel models available in the Simulink PV array library. It is then applied to a real PV panel: the Yingli Energy YL250P-29b. To evaluate the accuracy of the proposed method, the Root Mean Square Error (RMSE) is used as a performance metric. The results demonstrate that the WUTP algorithm outperforms several state-of-the-art optimization algorithms in terms of accuracy and reliability.

Citation

Amar GUICHI , Bureau de la stratégie de numérisation , ,(2025-11-20), Parameter Estimation of Photovoltaic Models Using an Optimization Algorithm Inspired by Plant Water Uptake and Transport Mechanisms,The Second National Conference on Physics and its Applications,ENS Bousaada

Efficient and reliable control in microgrids is critical for optimizing future power generation systems. Evaluating new control algorithms requires simulating all three control levels using switching converters, which is computationally intensive, especially when tracking current and voltage waveforms at the microsecond level. To address this, we propose using averaged models for switching converters in distributed energy systems. These models offer simplicity, computational efficiency, and sufficient accuracy, allowing detailed simulations that include all control levels. The fidelity of the proposed models is validated by comparing each converter’s performance to its corresponding switching model. To demonstrate their practicality, the averaged models are integrated into a complete microgrid case study. The system is simulated under real irradiance data from three different days, covering a range of weather conditions and the full spectrum of battery state of charge (SOC), from upper to lower limits. Control interactions are verified progressively, first at the primary level, then secondary, and finally tertiary. Results confirm that the proposed approach enables high-fidelity microgrid simulations, capturing voltages, currents, power, and SOC dynamics at the microsecond level. This demonstrates the effectiveness of using averaged models for realistic, scalable, and accurate control validation in future power systems.

Citation

Amar GUICHI , Bureau de la stratégie de numérisation , , (2025-09-10), Three-level hierarchical control for microgrid power management using real PV profiles over three days, International Journal of Green Energy, Vol:111, Issue:111, pages:24, Taylor & Francis

This article discusses the suitability of conventional speed control techniques for controlling the motor speed of an electric vehicle and takes induction motor control using direct torque control (DTC) technique as a case study. The main advantage of this technique is the simplicity of the hardware implementation in low cost platforms and precision in achieving any speed setpoint while the resistance torque variation. To expose the induction motor to the real challenges that arise in the electric vehicles, the speed control algorithm is tested under the New European Driving Cycle (NEDC) while imposing a resistive torque that emulates that of the real electric vehicle. The whole system is simulated under very challenging conditions in the PSIM platform , then the algorithm is implemented in the DSP TMS320F28335 platform to confirm its effectiveness in the real environment. The obtained results confirm that the direct torque control technique can be very useful in the speed control of electric vehicle induction motor.

Citation

Amar GUICHI , ,(2022-11-27), Suitability of Electric Motors and Conventional Control Techniques for Electric Vehicle Applications,The 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE),University of M'sila

In the last years, the increasing interest in substituting the conventional huge, centralized power generation systems with distributed renewable energy sources has gained more attention; especially the photovoltaic (PV) distributed energy sources due to their various advantages and benefits. Besides, it becomes quite possible to produce a nearly sinusoidal output voltage waveform that satisfies the grid connection criteria by the use of multilevel voltage source inverters at the grid level. These types of inverters have known an important development that offers more advantages in comparison to their counterparts topologies where the produced ac output voltage is made up of several levels of voltages with lower THD content. In this context, a new power conversion structure is applied to the grid-connected photovoltaic systems where the three-phase three-level neutral point clamped (NPC) multilevel inverter is used. The modeling and the control of the grid-connected PV power system are investigated and each component of the system is presented and discussed in detail. The effectiveness of the proposed structure is checked with the obtained simulation results for the whole system using MATLAB/SIMULINK.

Citation

Amar GUICHI , , (2022), Multilevel inverter for grid-connected photovoltaic systems, Rev. Roum. Sci. Techn.– Électrotechn. et Énerg, Vol:67, Issue:2, pages:06, EDITURA ACAD ROMANE

This paper proposes the control and energy management of a PV-Diesel-ESS micro-grid in islanded mode, where a two-level hierarchical control technique is adopted, the lower-level control to optimize/control the power from of the microgrid’s components, then comes the higher-level control to supervise the power flow and ensure its balance on the whole system while promoting self-consumption under a lowcost system. The proposed supervision algorithm manages the power flow according to the state of charge of the battery, which results in four modes of operation. To test the effectiveness of this supervisory algorithm, either to maintain the system frequency and voltage within their standard limits or to guarantee the continuity of power supply to the load and protect the energy storage system against over-charging /over-discharges, MATLAB simulation, for the whole system, is carried out for an exemplary day and under different critical scenarios and circumstances.

Citation

Amar GUICHI , ,(2022), Control and Power Management of a PV-Diesel-ESS Based Microgrid in an islanded Mode,In 2022 5th International Conference on Power Electronics and their Applications (ICPEA),Hail, Saudi Arabia

Microgrids are gaining increasing attention globally and becoming increasingly powered by photovoltaic (PV) systems, thereby requiring high-efficiency control to function as a microgrid distributed generation unit. Accordingly, this study presents an optimal control of a grid-connected Microgrid PV Source (MPVS) under partially shaded conditions. The objective is to ensure the MPVSs ability to rapidly and precisely deliver the amount of power assigned by the supervisory controller. Thus, MPVS must shift rapidly and smoothly between the maximum and intermediate power point modes. The proposed system is composed of PV array, grid emulators, and two converters coupled to a common DC bus. The control strategy of the boost converter is based on the combination of two algorithms: particle swarm optimization algorithm and the proposed intermediate power point tracker algorithm. The voltage source inverter is controlled to keep the DC bus voltage constant and inject the power to the grid, in which the voltage-oriented control technique is applied and combined with the phase-locked loop algorithm for voltage synchronization. Lastly, all control algorithms are implemented in a DSpace 1104 environment and largely tested under various partially shaded patterns.

Citation

Amar GUICHI , , (2021), Optimal control of grid-connected microgrid PV-based source under partially shaded conditions, Energy, Vol:230, Issue:120649, pages:11, Elsevier

This paper considers data-based real-time adaptive Fault Detection (FD) in Grid-connected PV (GPV) systems under Power Point Tracking (PPT) modes during large variations. Faults under PPT modes remain undetected for longer periods introducing new protection challenges and threats to the system. An intelligent FD algorithm is developed through real-time multi-sensor measurements and virtual estimations from Micro Phasor Measurement Unit (Micro-PMU). The high-dimensional high-frequency multivariate characteristics are nonlinear time-varying where computational efficiency becomes crucial to realize online adaptive FD. The adaptive assumption-free method is developed through Principal Component Analysis (PCA) for dimension reduction and feature extraction with reduced complexity. Novel fault indicators and discrimination index are developed using Kullback–Leibler Divergence (KLD) for an accurate evaluation of Transformed Components (TCs) through recursive Smooth Kernel Density Estimation (KDE). The algorithm is developed through extensive data with measurements from a GPV system under Maximum PPT (MPPT) and Intermediate PPT (IPPT) switching modes. The validation scenarios include seven faults: open circuit, voltage sags, partial shading, inverter, current feedback sensor, and MPPT/IPPT controller in boost converter faults. The adaptive algorithm is proved computationally efficient and very accurate for successful FD under large temperature and irradiance variations with noisy measurements.

Citation

Amar GUICHI , , (2021), Real-time fault detection in PV systems under MPPT using PMU and high-frequency multi-sensor data through online PCA-KDE-based multivariate KL divergence, International Journal of Electrical Power & Energy Systems, Vol:125, Issue:106457, pages:11, Elsevier

The output power characteristic of the photovoltaic (PV) panel under partial shading condition (PSC) exhibits multiple peaks: a single global maximum peak (GMP) and several local maximum peaks, which adds more complexity to the maximum power point tracking (MPPT) system. Here, a deterministic modified Jaya (DM-Jaya)-based algorithm is proposed for tracking the GMP, where the updating solution formula and the step size in the vicinity of the GMP of the generic Jaya algorithm have been significantly improved, these improvements provide many pros, including quick convergence time, one parameter needs to be tuned, null oscillation in steady-state, and easily implemented in a low-cost microcontroller. The proposed DM-Jaya algorithm is implemented in the hardware prototype; in addition, it is compared to other state-of-the-art techniques under different PSC patterns. The obtained results revealed the effectiveness of the DM-Jaya and its overall superiority compared to other methods in terms of efficiency and tracking time.

Citation

Amar GUICHI , , (2021), Modified deterministic Jaya (DM-Jaya)-based MPPT algorithm under partially shaded conditions for PV system, IET Power Electronics, Vol:13, Issue:19, pages:12, The institution of engineering and technology

Ce travail regroupe une série de TPs sur la logique combinatoire et séquenctielle, qui donne à l'étudiant l’opportunité de réaliser ce qui a été appris au cours et de lancer ces premiers pas dans l'électronique numérique. L’électronique qui a envahi tous les domaines et qui l'on touches à tous les endroits dans notre vie quotidienne. Ces TPs vont permettre à l'étudiant de découvrir pas à pas la logique en ses deux parties. La logique combinatoire dont les résultats ne sont liés qu’aux données en cours de traitement (Exemples : Fonctions logiques, Additionneur , soustracteur, Afficheur 7 segement, Multiplexeur/Demultiplexeur, Codeur/Découdeur) alors que pour la logique séquentielle, les résultats sont lies aux données actuelles et aux données précédemment traités, il utilise donc la notion de mémoire de stockage (Bascules, Compteurs, Registre). La réalisation de ces TPs proposé va permettre à l'étudiant de consolider ces connaissances en ce domaine, qui est nouveau pour lui.

Citation

AmarGUICHI , ,(2020); TP logique combinatoire et séquentielle,Mohamed boudiaf, M'sila,

Hybrid energy systems are mostly used to overcome the intermittence and the variability of the renewable energy sources. For remote and rural areas with high solar energy potential, the drawbacks of this sources can be defeated by the integration of the appropriate backup sources and storage systems. Therefore, in the present paper, we developed an efficient and an uninterrupted hybrid PV-Battery/Supercapacitor-Diesel generator system for standalone applications, that allows the individuals of this remote areas to generate electricity for self-supply at the lowest cost. The efficiency of the proposed system comes from the adequate used control algorithms, that allow the extraction of the maximum or the intermediate power depends on the loads and battery needs, regulating the AC and DC buses to deliver this power to the loads/battery in the appropriate shape, protecting the battery against the overcharging/deepdischarging, while its cheapest cost returns to take into account the loads’ priorities in the power management, this strategy helps to reduce PV generator size. Finally, this system delivers continuous power even in the worst conditions owing to the usage of diesel generator as emergency standby power.

Citation

Amar GUICHI , Abdelaziz Talha, el-Madjid Berkouk, ,(2019), An Efficient Supervision of a Hybrid PV-BatterySupercapacitor Off-grid System with Diesel Generator for Emergency Standby Power,International Conference on Electronics, Energy and Measurement IC2EM’2018,Algiers, Algeria

This paper proposes an optimal energy management of grid-connected PV-Diesel-Battery power system using a newly developed supervision algorithm. The main advantage of the proposed control technique is to reduce the size of the power system, lower the power cost and ensure fuel economy, which can be achieved by using the concepts of: twolevel control strategy, high-priority and low-priority loads, bidirectional power flow to and from the utility grid, and energy selling in timely manner. To examine the effectiveness of the proposed control technique, MATLAB simulations are carried out under a challenging scenarios, namely irradiance of typical day, two variable loads with high and low priority and one battery charge cycle. The obtained results confirmed the effectiveness of the control technique in general and the management algorithm in particular in satisfying the load power needs and selling/buying the power to/from the utility grid in the right time, while protecting battery from the overcharging and the deepdischarging.

Citation

Amar GUICHI , Abdelaziz Talaha, El-Madjid Berkouk, ,(2019), Optimal control and energy management of gridconnected PV- diesel-battery hybrid power system,International conference on Advanced Electrical Engineering,Algiers, Algeria

To decrease the payback time of the photovoltaic (PV) system and make it financially attractive, we propose a Photovoltaic Customer Grid Supply System (PCGSS) with bi-directional power flow, so the surplus energy fully or partially is delivered of the grid, following its needs, while, for critical operating conditions, the grid supplies the loads directly. For this purpose, a new management algorithm is proposed to optimize the generated power and allows the system to act as a distributed source inside the utility grid. Two scenarios are considered; in the first, the grid absorbs all the power delivered by the distributed system, while in the second, the power is injected to the grid based on the its requirements. Furthermore, to meet the proposed objectives, the PV system is strictly sized to supply only the high priority loads, in addition, the system has to work at the Maximum Power Point (MPP) or at the Limited Power Point (LPP) modes to meet the management algorithm requests. To reach the LPP, a modified Perturbation and Observation (P&O) algorithm is used. Meanwhile, to sustain the functionality of the system and to assure the continues supply of energy, a battery system has been integrated with the PV system.

Citation

Amar GUICHI , Abdelaziz Talha, El Madjid Berkouk, Saad Mekhilef, , (2018), Energy management and performance evaluation of grid connected PV-battery hybrid system with inherent control scheme, Sustainable Cities and Society, Vol:41, Issue:41, pages:490-504, Elsevier

The tracking of the Intermediate Power Point is more important than the Maximum Power Point when the photovoltaic system becomes a part of a hybrid power generation system. It means that the photovoltaic system can either work on the Maximum Power Point or on the Intermediate Power Point. An optimized control technique for hybrid power generation system is developed in this study to work in both cases with high accuracy and good efficiency, under normal or partially shaded conditions. This technique is based on the combination of two algorithms, the particle swarm optimization algorithm for tracking the global maximum power point, while a newly developed algorithm is used for attaining any other supervisory control set point. Furthermore, the new proposed algorithm has the advantage of choosing the point of highest voltage and lower current among the other points that provide the same power, which would increase the efficiency of the system by reducing the power losses. A simulation work is carried out to assess the effectiveness of the proposed technique. Different scenarios under normal and partially shaded conditions are verified. Finally, the combined control algorithm was implemented using a DSpace 1104 environment and extensively tested under various partially shaded patterns. The experimental results of the prototype have proven that the newly developed algorithm improves the capability of photovoltaic system to response quickly and precisely to the supervisor of the hybrid power system under different partially shaded conditions.

Citation

Amar GUICHI , Abdelaziz Talha, El-Madjid Berkouk, Saad Mekhilef, Samir Gassab, , (2018), A new method for Intermediate power point tracking for PV generator under partially shaded conditions in hybrid system, Solar energy, Vol:170, Issue:170, pages:974-987, Elsevier

In this paper, an adaptive monitoring scheme with Fuzzy Logic Filter (FLF) is developed and applied to monitor a Grid-Connected Photovoltaic System (GCPVS). This method is based on Principal Component Analysis (PCA) and Moving Window Principal Component Analysis (MWPCA). It is designed to generate adaptive thresholds for its monitoring indices. The FLF filters the monitoring indices to reduce the number of False Alarms (FA) and increase the Fault Detection Rate (FDR). The application is carried out on the GCPVS of the Power Electronics and Renewable Energy Research Laboratory (PEARL) of Malaya University. The proposed technique is compared against PCA method in terms of FAR reduction. The detection ability of the adaptive thresholding with FLF monitoring scheme is tested first on simulated faults then it is applied to detect a real abnormal behaviour. The results show that the proposed method is effective in reducing the number of false alarms and in detecting different types of faults with high accuracy.

Citation

Amar GUICHI , Mustapha Ammiche, Abdelmalek Kouadria, Laith M.Halabib, Saad Mekhile, , (2018), Fault detection in a grid-connected photovoltaic system using adaptive thresholding method, Solar energy, Vol:174, Issue:174, pages:762-769, Elsevier

An optimized energy management technique to reduce the cost and increase the effectiveness of a photovoltaic (PV) system is proposed in this paper. It is based on the optimum sizing of the energy storage system, to meet the needs of the system in normal conditions, while in the critical cases, the AC residential load will be supplied by the grid itself. In addition, the surplus of the PV power will be injected to the grid. However, to extend the battery life and reduce its size, a supercapacitor has been combined with the batteries, to quickly respond to the short-time peak current demand, while the battery will deliver a smooth current. Furthermore, the proposed algorithm will supervise the battery state of charge (SOC) and satisfy the highest priority load demand under different situation. A simulation work is carried out to evaluate the control of the whole PV system and determine the performance of proposed algorithm. Finally, the obtained results show the effectiveness of the proposed management algorithm, including the control techniques of different components of the whole system.

Citation

Amar GUICHI , Abdelaziz Talha, El-Madjid Berkouk, Nacer Sabour, ,(2018), Control and Energy Management of Grid-Connected PV System with Battery-Supercapacitor Hybrid Energy Storage,Control and Energy Management of Grid-Connected PV System with Battery-Supercapacitor Hybrid Energy Storage,Kuala Laumpur, Malaysia

This work presents the control and the energy management of the Grid Connected Photovoltaic-Battery hybrid System (GCPBHS) under partial shading and with bi-directional power flow. After supplying the AC residential load fully from the hybrid system, the surplus energy will be delivered to the grid. In critical weather conditions, the energy will flow in the inverse direction to satisfy the load power demand. To manage and optimize the photovoltaic power under different scenarios, a newly algorithm has been proposed, it takes into account, the PV extracted power, the battery state of charge (SOC), the load needs and the grid-injected power.

Citation

Amar GUICHI , Talha abdelaziz, El-Madjid Berkouk, ,(2017), Energy Management of Grid Connected PV-Battery Hybrid System under Partial Shading Conditions,International Conference on Electronics and New Technologies,University of M'sila

Photovoltaic (PV) solar energy conversion systems (or solar cells) are the most widely used power systems. However, these devices suffer of very low conversion efficiency. This is due to the wavelength mismatch between the narrow wavelength band associated with the semiconductor energy gap and the broad band of the (blackbody) Emission curve of the Sun [1]. Thus, the photovoltaic conversion is highly wavelength dependant and is most efficient when converting photons of energies close to PV cell band gap energy [2]. In the present research work, we tried to treat this problem, which is related to the optimization of the energy conversion of a Si-solar cell, using different colored filters having different wavelength. For this purpose, we have conducted an experimental work aiming to find out the P-Y characteristics of the solar cell. This experimental work consists of applying an illuminating light source on a Si-solar cell (type 307-137) across 4 colored filters (Red, Blue, Yellow and Green) one by one, each one having a specific wavelength, and measuring each time the resulting voltage and current (power). The obtained results are quite interesting.

Citation

Salah KHENNOUF , Amar GUICHI , ,(2015), Energy conversion optimization of Si-solar cell using different wavelength filters,THE FIRST INTERNATIONAL CONFERENCE ON SOLAR ENERGY (INCOSOLE 2015),University of Bordj Bou Arréridj