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V. Fernao Pires

Bio: V. Fernao Pires is an academic researcher from INESC-ID. The author has contributed to research in topics: Inverter & Fault (power engineering). The author has an hindex of 18, co-authored 154 publications receiving 1457 citations. Previous affiliations of V. Fernao Pires include Technical University of Lisbon & University of Lisbon.


Papers
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Journal ArticleDOI
TL;DR: The design considerations of this non-isolated DC-DC converter for photovoltaic systems are presented, and the characteristics of the proposed topology are confirmed by simulations and experiment results from a laboratory prototype.

56 citations

Journal ArticleDOI
TL;DR: A new approach to improve reliability in distribution networks using energy storage systems is presented in this article, where the integration of storage systems into the multi-objective planning of distribution networks is proposed in this paper, to improve the reliability index MAIFI.

49 citations

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TL;DR: In this article, the authors proposed a multiobjective optimal placement of switching devices considering DG unavailability, network reliability and equipment cost, with no island network operation, in a real utility distribution network.

48 citations

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TL;DR: In this article, an integrated approach for on-line induction motor fault detection and diagnosis is presented, which uses an automatic three-step algorithm using the stator currents and eigenvectors/eigenvalues of the 3D current referential.

45 citations

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TL;DR: A control system designed to ensure the transfer of the energy generated by the PV generators to the grid is also presented, together with a Phase Disposition PWM adapted for the multilevel T3VSI.

44 citations


Cited by
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01 Sep 2010

2,148 citations

01 Jan 1992
TL;DR: In this paper, a multilevel commutation cell is introduced for high-voltage power conversion, which can be applied to either choppers or voltage-source inverters and generalized to any number of switches.
Abstract: The authors discuss high-voltage power conversion. Conventional series connection and three-level voltage source inverter techniques are reviewed and compared. A novel versatile multilevel commutation cell is introduced: it is shown that this topology is safer and more simple to control, and delivers purer output waveforms. The authors show how this technique can be applied to either choppers or voltage-source inverters and generalized to any number of switches.<>

1,202 citations

Journal ArticleDOI
TL;DR: The main objective of the two-part survey named ‘Recent Advances in the Design, Modeling, and Control of Multiphase Machines’ is to present relevant contributions to encourage and guide new advances and developments in the field.
Abstract: The main objective of this two-part state-of-the-art paper called “Recent Advances in the Design, Modeling, and Control of Multiphase Machines” is to present latest contributions in the multiphase machines' field. The first part of this paper focuses on the recent progress in the design, modeling, and control, whereas the drive is in healthy operation. This second part presents relevant contributions in two not analyzed fields. The first is in relation with the use of the additional degrees of freedom of multiphase machines and the exploitation of their fault-tolerant capabilities without adding extra hardware. The second one analyzes multiphase generation, particularly in grid-connected wind energy conversion systems and stand-alone applications. Recent progresses are shown and open challenges and future research directions are discussed.

607 citations

Journal ArticleDOI
TL;DR: The control systems for the operation of DFIGs in wind energy applications are reviewed for connections to balanced or unbalanced grids, and sensorless control.
Abstract: Doubly fed induction generators (DFIGs), often organized in wind parks, are the most important generators used for variable-speed wind energy generation. This paper reviews the control systems for the operation of DFIGs and brushless DFIGs in wind energy applications. Control systems for stand-alone operation, connection to balanced or unbalanced grids, sensorless control, and frequency support from DFIGs and low-voltage ride-through issues are discussed.

594 citations

Journal ArticleDOI
TL;DR: Compared with traditional neural network, the SAE-based DNN can achieve superior performance for feature learning and classification in the field of induction motor fault diagnosis.

562 citations