Communications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/11

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Subject: search.filters.subject.Estimation

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    The impact of PV array inclination on the PV inverter reliability and lifetime
    (IEEE, 2020) Bouguerra, Sara; Agroui, Kamel; Yaiche, Mohamed Rédha; Sangwongwanich, Ariya; Blaabjerg, Frede
    The PV inverter lifetime is affected by mission profiles, which include the solar irradiance and ambient temperature of the installation site. In many investigations, the design for reliability approach (DFR) is used to evaluate the reliability of the PV inverter, where the solar irradiances are measured on a certain tilt and orientation angle. In most cases, the tilt is chosen to be the latitude angle of the location or slightly less. However, the latitude angle is not always the best choice in terms of energy and inverter degradation. This paper evaluates the lifetime of the PV inverter for different tilt angles of PV panels. The evaluation is based on the mission profiles of Algiers, Algeria, and the impact of tilt angle on the energy production and reliability of the PV inverter is investigated using mission profile based lifetime estimation
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    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
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    A new computer based phasor measurement unit framework
    (IEEE, 2009) Ouadi, A.; Bentarzi, Hamid; Maun, J.C.
    A Phasor Measurement Unit (PMU) is one of the most important measuring devices that can provide synchronized phasor measurements of voltages and currents in real time from widely spread locations in an electric grid. Indeed this device is crucial to the detection of disturbances and characterization of transient swings. In this work, a new PMU has been designed and implemented including the hardware architecture and the software program using a recent developed algorithm of phasor measurement and frequency estimation. The developed PMU is based on computer associated with an acquisition card AD512 using Matlab as software tool for developing its running program as well as its graphical user interface. Finally, this PMU has been tested in laboratory using network simulator that gives good measurements with an acceptable errors even at offfrequency
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    Sensorless speed field-oriented control of induction motor tacking core loss into account
    (2011) Kheldoun, Aissa; Khodja, Djalal Eddine; Refoufi, L.
    In field-oriented 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 the 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 of the classical dq model. Original 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 EKF's algorithm.