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                <text>Saoud, Afaf</text>
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                <text>RECIOUI, A.</text>
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                <text>Smart Grids require a complex two-way communication infrastructure, sustaining power flows between intelligent components, and sophisticated computing and information technologies, as well as business applications. Data will flow over generation, transmission, distribution, and user networks in the SG. The amount of data generated by smart devices will experience explosive growth in the future. This tremendous data amount places considerable load on the communications infrastructure of the SG. This paper highlights a review on the smart grid focusing on the communication infrastructure and the data issues. A scan of the most contributions relevant to the topic is presented. The key opportunities and challenges of the communication part of the smart grid are presented for further research.</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/42/30</text>
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                <text>Copyright (c) 2017 Afaf  Saoud, A. RECIOUI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 3 (2017); 162-179</text>
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                <text>2676-1548</text>
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                <text>smart grids</text>
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                <text>A  review on Data communication in smart grids</text>
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                <text>RECIOUI, Abdelmadjid</text>
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                <text>TAZIBT, Mohamed</text>
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                <text>BENHENNI, Hakim</text>
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                <text>The Phasor measurement units (PMUs) have become more and more attractive in power engineering as they can provide synchronized measurements of real-time voltage and currents phasors. The objective of this work is twofold: first, the optimal placement of PMUs is done in the standardized IEEE systems. Next, fault location is determined based on the measurements collected from these PMUs. The simulations are carried out using MATLAB SIMULINK. The results show that it is possible to exploit the PMU measurement data to locate and hence cure the faults in the power system.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/41</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/41/29</text>
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                <text>Copyright (c) 2017 Abdelmadjid RECIOUI, Mohamed  TAZIBT, Hakim  BENHENNI</text>
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              <elementText elementTextId="342042">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 3 (2017); 149- 161</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v2i3</text>
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                <text>smart grids</text>
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                <text>Phasor measurement units</text>
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                <text>PMU Placement</text>
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                <text>Fault Detection in Wide Area Monitoring Systems via PMU Optimal Placement</text>
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                <text>ZITOUNI, A.</text>
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                <text>RECIOUI, A.</text>
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                <text>SICHONE, A.</text>
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                <text>SENOUSSAOU, A.</text>
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                <text>The advent of nodal elements, such as Optical Add/Drop Multiplexers (OADM) for Wavelength Division Multiplexed (WDM) networks, has led to a myriad of possible network architectures for the optical layer. In this project we design and simulate a WDM-OADM optical ring system of four nodes, two wavelengths on unidirectional single mode fiber at data rates of up to 10 Gbps. We use a continuous wave laser as a source for each channel with external modulation. The performance of the system is reported on the basis of eye diagram, Bit Error Rate (BER) and Q-factor. Optisystem software is used to simulate the overall designed system.</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/40/28</text>
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              <elementText elementTextId="342012">
                <text>Copyright (c) 2017 A. ZITOUNI, A. RECIOUI, A. SICHONE, A. SENOUSSAOU</text>
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              <elementText elementTextId="342014">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 3 (2017); 140-148</text>
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                <text>2676-1548</text>
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                <text>SMF</text>
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                <text>EDFA</text>
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                <text>DCF</text>
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                <text>optical fiber network</text>
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                <text>Design and Simulation of a WDM-OADM Optical Ring Communication System</text>
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              <elementText elementTextId="341974">
                <text>Kouadri, A.</text>
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                <text>Kheldoun, A.</text>
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                <text>Hamadache, M.</text>
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                <text>Refoufi, L.</text>
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                <text>This paper presents the application of a new technique based on the variance of three phase stator currents’ instantaneous variance (VIV-TPSC) to detect faults in induction motors. The proposed fault detection algorithm is based on computation of the confidence interval index (CI) at different load conditions. This index provides an estimate of the amount of error in the considered data and determines the accuracy of the computed statistical estimates. The algorithm offers the advantage of being able to detect faults, particularly broken rotor bars, independently of loading conditions. Moreover, the implementation of the algorithm requires only the calculation of the variance of the measured three-phase stator currents’ instantaneous variance. The discrimination between faulty and healthy operations is based on the adherence of VIV-TPSC value to the CI which is calculated after checking out that the variance of instantaneous variance is a random variable obeying to normal distribution law. Rotor and stator resistance values are not used in any part of the CI and VIV-TPSC calculations, giving the algorithm more robustness. The effectiveness and the accuracy of the proposed approach are shown under different faulty operations.</text>
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                <text>Power quality disturbances have always been a major concern among engineers. Any slight variation in voltage amplitude or frequency can cause customer equipment to fail, at a substantial cost in time and money.In this project we will use some mitigation techniques to protect the induction motor from excessive temperature (additional losses and high currents) and the rotor vibration torque pulsation caused by power quality disturbances.These mitigation techniques reduce the effects of the power quality disturbances on the induction motor, where the simulations done using MATLAB/SIMULINK.</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 110- 129</text>
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                <text>This paper presents a method to optimize the placement of capacitors in a distribution system to correct power factor and reduce losses and costs. The method uses the Teaching Learning Based Optimization (TLBO) method to solve the optimal capacitor placement problem. The combinatorial nature of the problem suggests the employment of a mixed binary and real valued TLBO algorithm. To validate the efficiency of the method, it was applied to various examples (different bus systems) and simulation results are discussed.</text>
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                <text>Copyright (c) 2017 Mouloud  Bouaraki, Abdelmadjid RECIOUI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 102- 109</text>
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                <text>In order to reduce the electric consumption for high intensity discharge lamps (HID), the use of high frequencies electronic ballasts represents both a solution and many advantages such as, the decrease in the congestion, low costs and weak losses, approximately 10%. However it is not regarded as perfectly reliable, this is due in a great part to the appearance of Acoustic Resonances inside the arc tube which can result in low frequency light flicker and even lamp destruction. Experimentally we used a HID lamp of 50 W and we determined, light flicker frequencies and the arc motion frequencies using a photodiode which detects the light intensity fluctuation and a camera to record the arc motion. The experiment was done in the Department of Mechanical Engineering and Production, Hamburg University of Applied Sciences.</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 96-101</text>
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                <text>One of the most frequent faults in PMSM stator is the turn-to-turn short-circuit fault. So, the aim of this paper is to present a dynamic model for PMSM with turn-to-turn short-circuit fault based on equivalent electric circuit model. Two simple and useful diagnostic techniques ESA an EPVA based on frequency analysis are applied to detect this kind of fault. The accuracy of diagnosis is based on adding the real waveform of back-EMF.</text>
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                <text>Copyright (c) 2017 BOUCHAREB  CHOUROUK, NAIT-SAID MOHAMED-SAID, LAHMER  FETHI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 86- 95</text>
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                <text>2676-1548</text>
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                <text>10.51485/ajss.v2i2</text>
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                <text>PMSM</text>
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                <text>inter-turn</text>
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                <text>Modeling and Diagnostic of Permanent Magnet Synchronous Machine under Insulation Failure Condition</text>
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                <text>RECIOUI, Abdelmadjid</text>
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                <text>Meeting the load demand reliably and efficiently is the most important issue of any electrical system. Installing huge off grid hybrid power systems to deliver enough power is economically unwise. Therefore, it is necessary to minimize the size and number of units of the off-grid power system components and operate the system under an appropriate power management strategy to ensure efficient system operation. The successfulness of installing an off grid power system in remote areas depends on the total net present cost occurs during the lifetime of the project. In this work, optimization of off grid power system component sizing is performed using two tools: Homer and a metaheuristic optimization method that has been recently developed, the Teaching Learning Based Optimization (TLBO).</text>
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                <text>eng</text>
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                <text>Copyright (c) 2017 Abdelmadjid RECIOUI, Khaled  DASSA</text>
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              <elementText elementTextId="341859">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 75- 85</text>
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              <elementText elementTextId="341860">
                <text>2676-1548</text>
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                <text>Renewable energies</text>
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                <text>TLBO</text>
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                <text>Design of Standalone Micro-Grid Systems Using Teaching Learning Based Optimization</text>
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                <text>Boumalha, N.</text>
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                <text>Hachelef, R.</text>
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                <text>Kouchih, D.</text>
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                <text>Tadjine, M.</text>
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                <text>Boucherit, M.S.</text>
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                <text>This paper describes a Fault Tolerant Control (FTC) of a doubly-fed induction generator (DFIG) based wind turbine model suitable for the simulation of this generator in the mode faulty mode. The dynamic model of a DFIG with stator inter-turn short circuit fault is proposed. A model (abc) is developed, which can represent both the healthy and faulty conditions. The DFIG is directly connected to the grid whereas the rotor winding is fed by back-to-back PWM converters .the Control schemes for active and reactive power regulation are designed firstly. Under different wind speed, maximum power point tracing (MPPT) control is implemented to ensure the optimum active power output. The numerical simulation developed in Matlab/Simulink studies the effects of stator inter-turn short-circuit in the DFIG. Afterward, the application of Approach technique of Adaptive Obs</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/33</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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              <elementText elementTextId="341831">
                <text>Copyright (c) 2017 N.  Boumalha, R.  Hachelef, D.  Kouchih, M.  Tadjine, M.S.  Boucherit</text>
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              <elementText elementTextId="341833">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 63-74.</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v2i2</text>
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              <elementText elementTextId="341837">
                <text>Wind Energy</text>
              </elementText>
              <elementText elementTextId="341838">
                <text>DFIG</text>
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                <text>short circuit</text>
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                <text>vector control</text>
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                <text>inter-turn short-circuit</text>
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                <text>fault diagnostic</text>
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                <text>Fault Diagnostic of Doubly-Fed Induction Generator in Stator Inter-Turn Short Circuit Based Wind Turbine</text>
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