Publications Internationales
Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13
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Item Discretization Order Influences on Extended Kalman Filter Estimation for Doubly-Fed Induction Generator(Wydawnictwo SIGMA-NOT, 2024) Boussoufa, Ahmad; Ahriche, Aimad; Kidouche, Madjid; Doghmane, Mohammed ZinelabidineThe main objective of this paper is to analyze the influence of the discretization step on the estimated states of the Doubly-Fed Induction Generator (DFIG). Although the Extended Kalman Filter (EKF) has been widely used for such systems, the discretization process is conventionally ensured by the first-order Forward Euler method. Therefore, the effects of the discretization order of the discrete state-space representation on the Extended Kalman Filter estimation have not been studied before. In this paper, we combine the Extended Kalman Filter with two second-order discretization methods: Central Difference and Adams-Bashforth methods, to estimate the states of a Doubly-Fed Induction Generator and improve the estimation precision of the rotor speed and the Flux of the generator. A comparative study has been conducted to analyze the qualitative and quantitative responses of the estimator for different cases. The obtained results have demonstrated the significance of the discretization order on the estimation process of the two states of the DFIG.Item An enhanced battery model using a hybrid genetic algorithm and particle swarm optimization(Springer Nature, 2023) Mammeri, Elhachemi; Ahriche, Aimad; Necaibia, Ammar; Bouraiou, Ahmed; Mekhilef, Saad; Dabou, Rachid; Ziane, AbderrezzaqBatteries are widely used for energy storage in stand-alone PV systems. However, both PV modules and batteries exhibit nonlinear behavior. Therefore, battery modeling is an essential step toward appropriate battery control and overall PV system management. Empirical models remain reliable for lead-acid batteries, especially the Copetti model, which describes many inner and outer battery phenomena, including temperature dependency. However, the parameters of the Copetti model require further adjustment to increase its ability to accurately represent battery behavior. Recently, metaheuristic algorithms have been employed for parameter identification, especially hybrid algorithms that combine the advantages of two or more algorithms. This paper proposes an enhanced battery model based on the Copetti model. The parameter identification of the enhanced model has been carried out using a novel hybrid PSO-GA algorithm (HPGA). The hybrid algorithm combines GA and PSO in a cascade configuration, with GA as the master algorithm. The HPGA algorithm has been compared with other algorithms, namely GA, PSO, ABC, COA, and a hybrid GWO-COA, to reveal its advantages and disadvantages. The NRMSE is used to evaluate algorithms in terms of tracking speed and efficiency. HPGA shows an improvement in tracking efficiency compared to GA and PSO. The proposed model is validated on several charging-discharging data and exhibits a 15% lower mean error compared to the Copetti model with original parameters. Additionally, the proposed model demonstrates a lower mean error of 0.16% compared to other models in the literature with a 0.36% mean error at least.Item Stability and accuracy improvement of motor current estimator in low-speed operating based on sliding mode takagi-sugeno algorithm(Publishing House of the Romanian Academy, 2022) Ahriche, Aimad; Abdelhakim, Idir; Doghmane, Mohamed Zinlabidine; Kidouche, Madjid; Mekhilef, SaadThis paper is devoted to presenting a new mathematical development and hardware implementation of an accurate and stable technique for the current estimation-based sliding mode observer in high-performance speed-sensorless ac-drive. The proposed algorithm is built by using induction motor (IM) flux equations in two referential frames to enhance the robustness of the observer. Indeed, all equations are given in both stator-flux and rotor-flux rotating frames. On the other hand, to eliminate the necessity of rotor-speed adaptation, a fully speed-sensorless scheme is adopted. Furthermore, to minimize chattering and improve accuracy, a new fuzzy sliding surface is introduced instead of the conventional correction vector. The observer stability is guaranteed by means of Lyapunov’s second method. The feasibility and the effectiveness of the proposed algorithm are verified by using a hardware setup based on the DS1104 controller board. Experimental results are shown and discussedItem A novel fault location approach for radial power distribution systems(Institute of Advanced Engineering and Science, 2022) Hamdouche, Tarek; Bendjeghaba, Omar; Brakta, Noureddine; Ahriche, AimadPower distribution systems (PDS) are increasingly complex and spread over long distances and in different locations. Given their radial configuration, the loads could be inserted at the same distances from the substation. This leads to multiple estimation of fault location (FL) and yields time consuming for iterative FL algorithms. In this article, we provide a novel practical approach to fault localization in order to defeat these limitations. The central idea of the proposed approach is to divide the multilateral distribution system into a possible number of mono-lateral sub systems (MLS) using a proposed communicating sensor. Next, we apply two different fault locator algorithms only to the defective MLS. The first variant of the approach is based on the impedance method, while the second variant is non-parametric used only when there is lack in the line data. To test the proposed technique in practice, we used the IEEE 13 Node test feeder, and a real Algerian PDS. The results obtained clearly show the contribution of the dedicated method for locating faults in the PDSItem A fuzzy logic approach based direct torque control and five-leg voltage source inverter for electric vehicle powertrains(Publishing House of the Romanian Academy, 2021) Derbane, Abdelhakim; Tabbache, Bekheira; Ahriche, AimadIn this paper, a fuzzy logic approach is combined with direct torque control (DTC) for dual-motor based electric vehicle powertrain. The proposed structure is based on five-leg voltage source inverter (FLVSI) and two induction motors. The shared-leg switching-signals are selected by using a fuzzy logic controller in order to ensure an independent control of the two driving wheels. Indeed, the selection of the control sequence duration is performed based on the power demand and the load torque of each motor, Simulation results are carried out to confirm that both of IM is able to operate at different speeds with any load conditionItem Combining sliding mode and second lyapunov function for flux estimation(2016) Ahriche, Aimad; Kidouche, Madjid; Idir, Abdelhakim; Deia, YacineItem Robust sensorless sliding mode flux observer for DTC-SVM-based drive with inverter nonlinearity compensation(The Korean Institute of Power Electronics, 2015) Ahriche, Aimad; Kidouche, Madjid; Saad, Mekhilef