14 research outputs found

    Vector control of induction machines

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    After a brief introduction to the main law of physics and fundamental concepts inherent in electromechanical conversion, ""Vector Control of Induction Machines"" introduces the standard mathematical models for induction machines - whichever rotor technology is used - as well as several squirrel-cage induction machine vector-control strategies. The use of causal ordering graphs allows systematization of the design stage, as well as standardization of the structure of control devices. ""Vector Control of Induction Machines"" suggests a unique approach aimed at reducing parameter sensitivity fo

    Commandes numériques évoluées d'actionneurs à courant alternatif

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    Doctorat en sciences appliquées -- UCL, 199

    Energy Management Strategy for Commercial Buildings Integrating PV and Storage Systems

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    This paper presents an energy management strategy for a commercial building in supermarket application. Some objectives are established as load shedding, to reduce the electricity bill and the CO2 emissions of commercial building, such as supermarkets, in using PV and storage systems. An energy management supervision strategy based on the rules of the electricity bill will be presented. This paper focuses on the supervision strategy with the help of fuzzy logic. It is shown, with the help of simulations and comparisons, that the energy bill cost and the CO2 emissions can be reduced by using the solution proposed.ADEME, projet GISE

    Gestion et valorisation d'un stockage à air comprimé adiabatique intégré dans un réseau électrique

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    Cet article propose une mĂ©thodologie de supervision temps rĂ©el permettant de maximiser les services rendus et de contribuer Ă  la rentabilitĂ© d'un stockage CAES adiabatique. Un superviseur temps rĂ©el multi-objectifs basĂ© sur la logique floue est dĂ©veloppĂ© pour maximiser le gain Ă©conomique du stockage en prenant en compte l'action achat/vente et les services (obligatoires et supplĂ©mentaires) du stockage comme le rĂ©glage de frĂ©quence, la gestion des congestions et la garantie de la production renouvelable. Le superviseur proposĂ© est testĂ© sur un rĂ©seau de test IEEE 14 nƓuds. Les rĂ©sultats de simulation montrent un gain Ă©conomique du stockage significativement plus intĂ©ressant s'il participe aux services systĂšme et Ă  des services supplĂ©mentaires nĂ©cessitant une gestion temps rĂ©el

    Mitigating the impact of fast charging on distribution grids using vehicle‐to‐vehicle power transfer: A Paris city case study

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    Abstract The deployment of DC fast charging stations (DCFCSs) in cities requires costly reinforcement of low‐voltage (LV) distribution grids, due to the high power required. It results in high investments for the station operator as well as for the distribution system operator and limits the profitability of such projects. In this study, a novel concept of fast charging station which reduces the connection to the grid is presented. This station uses Vehicle‐to‐vehicle (V2V) power transfer from a fleet of carsharing electric vehicles to provide a high charging power while mitigating the power demand on the grid. Based on data from a carsharing operator in the city of Paris, a simulation model of a combined carsharing/V2V fast charging system is proposed, allowing to simulate carsharing trips and V2V transfers. The reduction of the grid connections required to provide fast charging is evaluated and the impact of the repeated discharges on the level of service of the carsharing system is discussed. Moreover, simulation of LV distribution grids allows to compare the grid losses of the V2V system with conventional DCFCSs

    Fuzzy Logic Supervisor-Based Primary Frequency Control Experiments of a Variable-Speed Wind Generator

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    In this paper, a primary frequency control strategy based on fuzzy logic, designed for variable-speed wind generators, is proposed and tested on a 2.2-kW test bench. The fuzzy logic supervisor ensures a regular primary reserve for a large range of wind speeds without any wind speed measurement. This supervisor controls simultaneously the generator torque and the pitch angle to keep the primary reserve; it determines in real time the generator power reference value. The fuzzy logic supervisor is compared to a simpler strategy, based only on the control of the generator torque. This classical strategy ensures a regular power reserve only when the wind generator operates at full load, and the generator power reference needs to be determined previously or by the network manager. A procedure for implementing a fuzzy logic supervisor in real time is proposed. The experiments indicate the regularity of the power reserve and the ability to contribute to frequency control
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