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Multi-criteria fuzzy-logic optimized supervision for hybrid railway power substations
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Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems
ParDhaker AbbesRÉSUMÉ / ABSTRACT : Stand-alone hybrid renewable energy systems are more reliable than one-energy source systems. However, their design is crucial.For this reason, a new methodology with the aim to design an autonomous hybrid PV-wind-battery system is proposed here. Based on a triple multi-objective optimization (MOP), this methodology combines life cycle cost (LCC), embodied energy…
Contribution au dimensionnement et à l’optimisation des systèmes hybrides éoliens-photovoltaïques avec batteries pour l’habitat résidentiel autonome
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Control and Fuzzy Logic Supervision of a Wind Power System With Battery/Supercapacitor Hybrid Energy Storage
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Robust fuzzy scheduler fault tolerant control of wind energy systems subject to sensor and actuator faults
ParDhaker AbbesRÉSUMÉ / ABSTRACT : In this paper, new robust fuzzy scheduler fault tolerant control is proposed to tackle multivariable nonlinear systems subject to sensor faults, actuator faults and parameter uncertainties. Takagi–Sugeno fuzzy model is employed to represent the nonlinear wind energy systems, and then a model-based fuzzy scheduler controller design use the concept of general-distributed compensation….

