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Jose A. Rosendo-Macias

Researcher at University of Seville

Publications -  17
Citations -  230

Jose A. Rosendo-Macias is an academic researcher from University of Seville. The author has contributed to research in topics: Kalman filter & Inrush current. The author has an hindex of 6, co-authored 17 publications receiving 137 citations.

Papers
More filters
Journal ArticleDOI

Reference Current Computation for Active Power Filters by Running DFT Techniques

TL;DR: In this paper, the feasibility and convenience of applying the efficient discrete Fourier transform (DFT) techniques for the computation of reference currents in active power filters was analyzed, and two different implementations of the running DFT, including their recursive and nonrecursive versions, were compared to the stationary reference frame (SRF) approach in terms of steady-state performance, adequacy of transient response, and computational effort.
Journal ArticleDOI

City-Friendly Smart Network Technologies and Infrastructures: The Spanish Experience

TL;DR: The goal of this paper is to illustrate, through featured success stories, how several smart grid concepts and technologies have been put into practice in Spain over the last few years to optimize the performance of urban electrical assets.
Journal ArticleDOI

Parameter estimation of fully regulated synchronous generators using Unscented Kalman Filters

TL;DR: To the authors’ knowledge, this work is the first attempt to estimate such a full set of dynamic state variables and parameters, using just external measurements taken at the generator terminal bus.
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Controlled switching strategies for transformer inrush current reduction: A comparative study

TL;DR: In this article, a comparative analysis of the three-phase transformer inrush current mitigated by controlled switching has been carried out, where the residual flux uncertainty and dispersion of the characteristics of the circuit-breaker can significantly affect the performance of the controlled switching.
Journal ArticleDOI

Parameter Estimation of Wind Turbines With PMSM Using Cubature Kalman Filters

TL;DR: This work is the first attempt to apply the cubature Kalman filter for the joint estimation of the system dynamic state and a modified set of parameters from which the original model parameters can be algebraically recovered.