Browsing by Author "Kheldoun, Aissa"

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Adaptive control of induction machine by fuzzy logic
(2003) Chetate, Boukhmis; Kheldoun, Aissa
The effective operation of a decoupled induction machine by rotor field oriented technique is altered by the variation of rotor resistance and the operation with small loads. In fact, the variation of the rotor resistance causes an increase in the copper losses. But the operation with small loads causes excessive iron losses. The present work, present a study permitting the maintain of he driver efficiency in the case of the operations stated above . Two mechanisms are developed, first one based on the fuzzy logic, its objective is to adapt the rotor resistance, whereas the second is based on the optimization of the total losses. This mechanism permits to obtain the value of the optimal control of flux rotor, which correspond to optimal consumption of the energy. The obtained simulation results have shown a good foundation of this approach
An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency
(Elsevier, 2024) Merabet, Oussama; Kheldoun, Aissa; Bouchahdane, Mohamed; Eltom, Ahmed H.; Kheldoun, Ahmed
Due to the increased integration of distributed generation (DG) in electric power systems, optimal coordination of overcurrent relays has become a key problem in power distribution systems. However, there is a lack of expertise in the creation of optimum microgrid coordination that takes into account all N-1 scenarios through the nonstandard relay characteristics. This work presents a novel technique for optimal coordination of directional overcurrent relays (DOCRs) in terms of relay curve settings (A and B), time dial setting (TDS) and plug setting (PS) to achieve the shortest running time and attain optimal settings. The optimization is carried out using a modified version of the Hanger Games Search algorithm (MHGS). The performance of the proposed method is assessed using the 14 bus distribution system while considering all the N-1 contingencies. DIgSILENT software was utilized to perform the required power system analysis, such as power flow and short circuit analysis. The MHGS method is used to determine the best settings for the DOCRs problem. The results are compared to the traditional HGS as well as those obtained by other current optimization approaches provided in the literature in order to demonstrate the effectiveness and superiority of the proposed MHGS in lowering relay operation time for optimum DOCRs coordination.
An adaptive threshold estimation scheme for abrupt changes detection algorithm in a cement rotary kiln
(Elsevier, 2014) Kouadri, Abdelmalek; Bensmail, Abderazak; Kheldoun, Aissa; Refoufi, Larbi
Amélioration des performances d'un variateur de vitesse par moteur asynchrone contrôlé par la méthode à flux orienté
(2007) Kheldoun, Aissa
Trois aspects ont été abordés dans la présenté thèse à savoir: Adaptation de la résistance rotorique, minimisation des pertes et commande sans capteur de vitesse. En effet, la logique flux a été utilisée pour consevoir le mécanisme d'adaptation de la résistance rotorique, vu sa robustesse vis_à_vis la variation des paramètres, a nouveau mécanisme à base du modèle a été proposé pour minimiser les pertes, Ensuite, on a considéré l’application du principe du filtre de Kalman étendu sur le modèle de Park du moteur asynchrone afin d’estimer la vitesse rotorique. Finalement, un mécanisme est développé afin de réduire l’effet des pertes fer sur l’observation de la vitesse sans pour autant modifier l’algorithme du filtre de Kalman étendu
Analysis of the self-excited induction generator steady state performance using a new efficient algorithm
(Elsevier, 2012) Kheldoun, Aissa; Refoufi, Larbi; Khodja, Djalal Eddine
The paper presents the application of DIRECT algorithm to analyse the performance of the Self-excited induction generator (SEIG). To the author best knowledge, this is the first attempt to apply it to such a problem. DIRECT algorithm is used to minimize the induction generator’s admittance without the need to separate it into its real and imaginary parts. No initial guess is required as it needs only the upper and lower values of the unknown variables which are easily determined. The obtained minimum admittance yields the adequate magnetizing reactance and the frequency. These two key parameters are then used to compute the self-excitation process requirements in terms of the prime mover speed, the capacitance and the load impedance on the one hand and to predict the generator steady state performance parameters on the other. Very good agreement between predicted results and experimental measurements is achieved
Application of bond graph modeling for photovoltaic module simulation
(EDP Sciences, 2016) Madi, S.; Kheldoun, Aissa
In this paper, photovoltaic generator is represented using the bond-graph methodology. Starting from the equivalent circuit the bond graph and the block diagram of the photovoltaic generator have been derived. Upon applying bond graph elements and rules a mathematical model of the photovoltaic generator is obtained. Simulation results of this obtained model using real recorded data (irradiation and temperature) at the Renewable Energies Development Centre in Bouzaréah-Algeria are obtained using MATLAB/SMULINK software. The results have compared with datasheet of the photovoltaic generator for validation purposes
Application of golden section search MPPT control to grid-connected wind turbine driven PMSG
(2018) Khelifa, Ayoub; Ben Haoua, Seif Eddine; Kheldoun, Aissa
This project is intended to design a PMSG based wind energy conversion system. Classical controllers, such as P&O MPPT algorithms are employed to ensure maximum power extraction from wind turbine. Speed of the generator is adjusted to match the wind turbine power- speed characteristics. In this project, a new MPPT algorithm is investigated to maximize the power coefficient Cp. The algorithm is based on Golden Section search principle and expected to be faster than the aforementioned algorithms.
Application of new optimisation algorithm to self-excited induction generator analysis
(IEEE, 2013) Kheldoun, Aissa; Refoufi, Larbi; Khodja, Djalal Eddine
Bond graph based modeling for parameter identification of photovoltaic module
(Elsevier, 2017) Madi, Saida; Kheldoun, Aissa
Comparative energy analysis of photovoltaic module
(2018) Madi, S.; Kheldoun, Aissa
This work introduces a comparative energy analysis of photovoltaic module using its different single diode equivalent electrical circuits (five-parameter model, four-parameter model, and ideal model).These equivalent circuits are used for different purposes according to the objective. The ideal model is still used in many applications particularly power system analysis and water pumping. Three commercially available (SUNTECH) photovoltaic modules (50W, 70W and 130 W) are used in this analysis at standard test conditions. Using those three PV modules; the relative errors of the maximum output power mismatch are highlighted in the three cases. Obtained results show that the five-parameter model gives themost accurate maximum power prediction in comparison to that of manufacturer’s data sheet, while the ideal model shows a remarkable relative error at the maximum output power which is up to 8.93013%. This evaluation allows users deciding on the selection of appropriate equivalent circuit to be used in a given application
Compensation for the iron loss effect in EKF-based speed estimation of vector controlled induction motors
(IEEE, 2008) Kheldoun, Aissa; Chetate, Boukhmis
In vector controlled induction motor drives, the instantaneous rotor speed is measured using whether sensors or estimators. Since the basic Kalman filter is a state observer, its use in vector controlled schemes has received much attention. However, these schemes are based on the assumption that the existence of iron loss in an induction motor may be neglected. The paper shows the effect of iron loss on the extended Kalman filter performance that is designed on the basis if the ironless induction machine model. Simulation results are carried out to demonstrate this effect as well as the effectiveness of the suggested approach to minimise the speed estimation error without modifying the observer algorithm
Design and implementation of shunt active power filter using STM32F4 Board
(2019) Ayachi Amor, Yacine; Dekari, Cherif; Dahmani, Seif-Eddine; Kheldoun, Aissa
Thispaper proposes a simple yet cost-effective implementation of three-phase two-level inverter based shunt active power filter (SAPF) using STM32F4 discovery board. A similar system is mostly implemented using either DSP card or Dspace platform, which increase the cost of the system. The control algorithm has been chosen based on the simplicity and flexibility features, that is the instantaneous power PQ theory. Simulation work of SAPF with the proposed algorithm was conducted and assessed in MATLAB–Simulink.The simulation results have been confirmed by the implementation part where the STM32F4 provides a great flexibility interfacing between the Matlab environment and the board. The results are obtained to be met the power quality requirement by the international standards,where the THD of the grid current drawn by a nonlinear load is kept below 5%
Design and implementation of three-level inverter for grid-tied PV systems
(IEEE, 2017) Ayachi Amor, Nourdine; Ayachi Amor, Nourdine; Kheldoun, Aissa; Metidji, Brahim
High quality voltage and current are required when PV generator is connected to grid utility. To this, multilevel inverters are very desirable to be used as connection interface. To keep the cost of the whole system as low as possible, a cost-effective control device using STM32F4 discovery board is employed to control three-level inverter that can be used in grid-tied PV system. The paper develops and implements the control strategy of simplified space vector pulse width modulation (SVPWM) algorithm using Matlab/Simulink software. Obtained experimental results depict the powerfulness of used card as well as the high quality of the delivered power
Design and implementation of three-level T-type inverter based on simplified SVPWM using cost-effective STM32F4 board
(Inderscience Online Journals, 2021) Amor, Yacine Ayachi; Kheldoun, Aissa; Metidji, Brahim; Hamoudi, Farid; Merazka, Abdeslam; Lazoueche, Youssouf
This paper investigates the design and validation of simplified space vector pulse width modulation (SVPWM) as a switching control for a three-phase three-level T-type inverter using STM32F4 board interfaced with MATLAB/Simulink environment. Usually, the SVPWM algorithm implemented using either DSP card or Dspace platform, which affects the cost of the system. On the contrary, the proposed algorithm offers a great reduction of computations compared with the conventional one, which grants an easy digital implementation. Thanks to the geometrical symmetry of six sectors, in which exists a close relationship between on-time calculations and on-time arrangement of the switching states. This can be exploited for the remaining sectors based on a single computation that relies on the first sector only. The proposed algorithm has been validated in both simulation and experimental tests. The results show the ability and the flexibility of using the STM32F4 board to drive a three-level T-type inverter
Design of speed sensorless control of induction motor based on Dual-Nonlinear control technique
(IEEE, 2020) Ammar, Abdelkarim; Ameid, Tarek; Azzoug, Younes; Kheldoun, Aissa; Metidji, Brahim
This paper deals with performance improvement of direct flux and torque control of induction motor. The proposed algorithm consists of the combination of tow nonlinear control approaches. A decoupled control design is done by the exact feedback linearization control. Since, wastes the control stability and robustness while the presence of disturbance and modeling inaccuracy, it is recommended to be associated with a robust control approach like second-order sliding mode control (SOSMC). Therefore, the super twisting algorithm is integrated as auxiliary inputs to the feedback linearization control law to achieve robust feedback linearization control. On the other hand, the high-performance control design requires accurate knowledge of different control variables such as stator flux and rotor speed. instead of using costly and fragile sensors that may increase the volume and decrease the reliability of the control system, a proposed sliding super twisting observer and model reference adaptive system serves as sensorless algorithms for rotor speed and flux estimation in wide speed region. This conjunction is intended to enhance the overall control performances and speed/flux estimation, especially at low-speed operations. An experimental study has been done using MATLAB/Simulink with dSpace 1104 real-time interface for investigating the performance of the proposed algorithms
Efficiency improvement in induction Motor-Driven solar water pumping system using golden section search algorithm
(Springer, 2017) Djeriou, Salim; Kheldoun, Aissa; Mellit, Adel
Efficiency improvement in induction Motor-Driven solar water pumping system using golden section search algorithm
(Springer, 2017) Djeriou, Salim; Kheldoun, Aissa; Mellit, Adel
Efficiency improvement of robust-direct torque control for an induction motor drive
(IEEE, 2019) Ammar, Abdelkarim; Ameid, Tarek; Azzoug, Younes; Kheldoun, Aissa
This paper presents a design of a robust optimized direct torque control for induction machine drive. Since the classical method that uses linear controllers is weak during the presence of uncertainties, the control scheme can be improved by the association of a robust control approach. The sliding mode approach is proposed is inserted to achieve a decoupled control and improve its robustness versus different disturbances. Over and above, an optima control algorithm based on losses minimization is coupled with the main control scheme for efficiency optimization. This technique consists on the generation of an appropriate flux reference according to the applied load value to have an efficient control, especially for light loads and variable load applications. The effectiveness of the proposed control technique is investigated by different tests using MATLAB/Simulink simulation
Enhanced power system stabilizer tuning using marine predator algorithm with comparative analysis and real time validation
(Nature Portfolio, 2024) Hattabi, Intissar; Kheldoun, Aissa; Bradai, Rafik; Khettab, Soufian; Sabo, Aliyu; Belkhier, Youcef; Khosravi, Nima; Oubelaid, Adel
This study concentrates on the implementation of Marine Predator Algorithm (MPA) scheme for tuning of a power system stabilizer’s (PSS’s) parameters to damp the low-frequency oscillations in a power system. To this, the single machine infinite bus system (SMIB), the Western System Coordinating Council (WSCC) and the New England 10 machine 39-bus power system are utilized for testing and comparing different metaheuristic algorithms using different fitness functions. Optimal PSS parameters of SMIB test system are validated using CU-SLRT Std, a real-time digital simulator. The comparative studies demonstrate that the MPA optimized PSS yields improvements of up to 98.62% in the Particle Swarm Optimization (PSO) at 69.42%, Whale Optimization Algorithm (WOA) at 71.79%, Flower Pollination Algorithm (FPA) at 72.39%, African vulture optimization algorithm (AVOA) at 78.04%, Wild Horse Optimization (WHO) algorithm at 68.57% under various operating scenarios. The superiority of the MPA optimized PSS has been validated using Hardware-in-the-loop implementation for the SMIB test system.
Enhanced sensorless predictive direct power control for PWM rectifier with constant switching frequency under grid disturbances
(IEEE, 2021) Djabali, Sarah; Ammar, Abdelkarim; Kheldoun, Aissa
This work presents a voltage sensorless predictive direct power control strategy for PWM-rectifier. Firstly, the line-voltages are estimated using Second-Order Generalized Integrators (SOGI) coupled with Frequency Locked Loop (FLL). SOGI are inherent noise rejectors and FLL provides instantaneous tracking of the grid frequency. Their combination offers high robustness against grid disturbances, distinctively: harmonics distortion and frequency fluctuations. Secondly, Model Predictive Control (MPC) with Finite Control Set (FCS) attributes conceptual simplicity and higher accuracy than conventional controllers but suffers from variable switching frequency. In this paper, we propose MPC approach that solves the switching frequency problem while maintaining the accu- racy of FCS. Last, the decoupled control between active and reactive powers of Direct Power Control (DPC) offers flexibility of operation over variable power factors. The effectiveness and reliability of the proposed approach are investigated through simulation using MATLAB/SIMULINK software