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Robust fuzzy scheduler fault tolerant control of wind energy systems subject to sensor and actuator faults
RÉSUMÉ / 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….
Multi-criteria fuzzy-logic optimized supervision for hybrid railway power substations
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RÉSUMÉ / ABSTRACT : The aim of this paper is to demonstrate that a dynamic simulator, taking into account temporal data of renewable sources and using energy on one year, is able to sizing each element composing the electric generation system and the storage system. The electrical system includes photovoltaic panels (PV), a wind turbine…
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RÉSUMÉ / 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…
Hybridization of electrical energy storage for intelligent integration of photovoltaics in electric networks
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